IISc, Digital Manufacturing & Smart Factory
Hello Good evening. Are you able to hear me? Oh, good evening, Professor Andreas. Yes we are. Professor. We'll just wait for two more minutes.
I'm just checking how many of my faculty colleagues What do you mean? I'm here I'm there. Hello, sir. Tim. Good. Shido I can see to see is there.
Where are you seeing this? Okay. Okay. I could see. Can I see myself? Click Click on participants? Okay. Attendees.
Yeah. Okay, so I don't see several yet. And there as well. shalyah Okay, we shall I don't know, for some reason I'm not able to see you here.
There are 103 participants who are these 130 people,
the participants, the interested candidates who want to know more about the program and all the things are
wonderful. That's nice. Okay,
so can you can you just quickly tell me who are present from my from our faculty colleagues? We should have been people.
So we have a stomach ocean. Professor guru Murthy. And there are a couple of other logins but with the name of toolsy Raman, we have four or five entries on the same name.
Why? Because as we'll see as for audit domain, Okay, can I just have a roll call?
I also received from to see only Okay, fine. So see Rama? Rama.
Yeah, right. Since I sent a link right, so I think everyone is named as Lucy ramen. Writing is fine.
Then I think maybe the organisers had sent a dedicated link To each person, so I think they should have you should look in your own inbox. That rich man. Rubbish. Maybe you should tell them that way which I will search for it until you Yeah,
it's a no reply zoom.com so in talentsprint is the name of talents just search for talentsprint? Yeah, you will get it. Yeah, okay. Okay. Yeah. Also I don't see pros. Um, there is also their same, then your own okay?
I'm seeing the same link, I just changed my name. So it has changed automatically here or you change your name, okay, fine. The only
change the name. So you go on the right side and rename, you can have the option of renaming where you see me so you will see to see Rama, me if you have logged into the account. And then you go to more on the right side and then you can be named
on the right side. In a is that? Okay, now I think I'm getting my own cup. Yeah. Yes, I do. Is that the fight finally getting back your identity is good. No. Right. Yeah.
We have only 2123. That's good news. Thank you whether we will see I think we still have a worker who has not joined. So let me see. I just quickly asked him to join just once a
professor. Last one minute, we'll start we have almost more than 100 participants. We'll just wait for another one minute and I will take it I'm just yeah, I'm just alerting. Okay, I
have I have already alerted, sent a mail alerting. Daughter to a broker. Yeah, so you get started. And as we go along, we'll probably call the appropriate faculty and see if he's there. Okay, and we'll move on through.
Meanwhile, we can join we will start the session with sphere all please do that. Please do it. So Good evening, everyone. My name is Ramesh and she's my colleague, Sunita Singh. And we both take care of digital manufacturing and smart factory program on behalf of IAC. Today's agenda is to discuss more about this program, how the curriculum, what is smart factory, and we also have invited all the faculty from IAC. So allow me to introduce Professor Umbridge. Chakravarthy is the senior professor and chairman for cpdm. So professor, what we are going to do right now is you can just introduce yourself, along with all the faculty members. And then we'll take it forward from there.
Okay, that's fine. So what I'll do, Mr. Ramesh is that I'm going to just call my colleagues to come one at a time and speakers that absolutely, that's one way to do that. The other is that they are all going to be presenting their portion of the work. So they can also introduce themselves just to the beginning of that that will also reduce the amount of Anything is fine. Okay. So I will just start straightaway then I will share the screen and I will ask my colleague, Rosa guru to start on the first two projects will be I need to I need to use these. Can you give me the screen? I'm just Yes, you can share Professor right now. Okay, I'll see. Yeah, okay. All right. Okay, so I'm just sharing this screen Why is it not moving? Okay. Okay, are you able to see the screen? Yes, Professor Vika okay. So, I will ask my colleague Rosa B guru T, to introduce himself and then introduce the module Actually, let me before he starts let me just say that there are 10 modules in this program and therefore, there are 10 at least in faculty members who are involved and they will come one at a time and introduce their work and themselves. So, Guru Please go ahead.
Okay, good evening, everybody, thank you for your interest in this program, I'm not able to turn the video on so I hope that is okay, you can attach the face to the name either using internet or when we actually start the classes. I'm a faculty here in cpdm and mechanical engineering and I'm going to be covering two modules one on digital manufacturing with my colleague ashitaba Gosha. This is a class we also offer to our smart manufacturing MTech students here and we will try and compress the essential elements of that in the in the slots that we have in this particular course, and the content roughly is a very high level, you have it in front of you on the screen, you know, we will talk about this distinction between digitization you know, which is the digital in the digital manufacturing and digitalization and the distinction is a little subtle and there is increasing awareness that you know, what we are looking for is digitalization and not just mere digitization. So, we will spend some time you know, stating the terminology that we will use and then we will look at you know essentially digital manufacturing as you will see later is basically you know using digital models to drive the process you know, the defining the shape and you know realizing the shape and validating the shape right and so, those are the three broad modules that you will see here, CAD and product modeling and computer aided manufacturing and computational metrology, at least in my part of the of the narrative in this class. So, we will talk about, you know, what are the different kinds of ways to capture shape as a digital model, because that is one of the essential elements in product development. And then, you know, computer based manufacturing, or manufacturing using computer based models, and very important bit is the metrology side of things where you want to actually validate that the part made, you know, is subscribing to the nominal definition that the designers have provided for that part. And that constitutes this field called computational metrology. So that's the part of digital manufacturing that I will be covering and Saturday and Sunday. So one set, I will try and do this. I'm hoping that most of you would already be very familiar with CAD, so we don't have to spend too much time on that, but I will take a poll before the class before I start the formal lecture, so that we know where everybody is, and then we will tune that part of the content accordingly. And there will be a lab session later. Actually, since we started this, we have not actually done a lab session for this even for our MTech students, because of this prevailing situation in this in the world. But hopefully, you know, by the time your turn comes to do the lab sessions, I think in December, we would have had some dry run. So you will be having a smooth experience when you come here in person. So, I will hand it over to Michelle, who is my co instructor in this particular class.
Thank you. Okay, welcome to this course. So my name is ashitaba Bushnell I have a faculty in mechanical engineering and also in product design. So, I will be discussing a little bit about robotics and automation in digital manufacturing. So not much, but because there is already another module which has a lot to do with robotics and autonomous systems. But basically, we want to look at how manufacturing is done using robots. And maybe you know, some of the tools which are used in robotics, like motion planning, and coding control and some sensing, how it can be also used in digital manufacturing. So I think that I will stop because I will speak a lot more about robotics and autonomous systems in another module later on. Thanks for listening.
Okay, thank you, for the group deep research talk, or shall I just move on to the the next module, this is a module on the fundamentals of industry 4.0, which is something that Professor Dr. nishiura testimonies around documentaries was not well, so I'm not sure that he's able to join. So I will be standing in for both of us monisha ran myself will be taking and that will basically be a course that will try and bring together all these elements that you will see in greater detail in other parts of this course, in this program, so we'll be spending some time on what is industry 4.0 and what characterizes it. And the various elements of that, and then particularly focus on the reference frameworks, and the maturity models that are that are particularly important building blocks in Canada of both referencing, and also assessing the degree of industry 4.0 implementation in industry. The second part will be focusing on the key technologies that constitute industry 4.0, the typical sort of Boston Consulting Group, paper that became the sort of cornerstone of the definition of industry 4.0. And you can see that, again, included here, all the way from Digital simulation to industrial Internet of Things. And most of these topics will be in greater detail covered as a module. And therefore, we'll be providing an overview and primary focus will be on linking that to the overall concept and the benefits and issues with industrial points. And then we'll be spending some time on standards even though greater detail of standards will come in bits and pieces as part of the the more vertical modules that will come afterwards. And will also include a smart factory demo in there. Again, the COVID poverty permit you to visit us and so on. So that's the overall sort of main points about this particular module. And I will now move on to the next module, which is the electronics and mechatronics that Dr. v. Biswas, doctoral in MIT and Dr. Manish Arora will be doing so, can somebody from this group stand up and speak about it?
I think Manish is not here. This is a very speaking,
yes. So, you need to introduce yourself and then you can you can speak your whole discourse.
Yeah, sure. So, this is Dr. Luigi speaking and I asked the question professor here in the IC, this electronics model and mechatronics modules will be covered by three of us. So, as a function of illustrate that mohnish is not well. So, and I think Medina is not around in this meeting. So, I am just going to introduce this section what we are planning to do basically this is the section which will which is like a shorter version of the course offered in cymbidium where we introduce the electronics aspect or which is related to the digital manufacturing and smart manufacturing. And based on the background of the students again this course content will be given different weightage to the different subtopics. Okay, so the sensor and actuators are obviously the crux in the digital manufacturing. And we'll be talking about them and based on the background of the students will cover different technologies, different sensor and actuator technologies. At the same time, it the students not having direct electrical background or electronics background, then we may introduce some basic concepts so that it will not go out of the head of other students. So, this is always a challenge we find in any interdisciplinary program that for some student, it may be very easy some student it's very difficult for them. So that part we are trying to take care, but at the same time we will try to focus on the industry 4.0 and manufacturing while common in the some basic aspects. Now, these the basic aspects are covered in even sensor actuators All the initial topics, then we'll also focus a little bit on the adverse manufacturing of the electronic system itself because the electronic manufacturing is digitized long back, okay. So, the designer will be somewhere and the manufacturing will be somewhere. So, even designers may not be knowing who is actually manufacturing very well, the knowledge process may not be a direct this as I myself deal with electronic design, so, when I send my design to the manufacturing house, so, in fact, I don't know who is manufacturing it in person, I know only the name of the company and then it gets manufactured and come back. So, it is a very automated system for the electronic manufacturing. So, now, this idea is also getting translated to the mechanical manufacturing. And it is also done to some extent for many mechanical manufacturing of sight, but getting much more elaborated and extended for a broader set of mechanical manufacturing. And those aspects are automated electronic design. And those things will be introduced, but the time is about times of Australia. If it is possible, we'll go a little more details based on the student's interest and background. And, and the last part is the project part, the project Part, we'll see how much we can add promoted. Again, it depends on the combination of the students will have in hand, if the students are already having much more computerization with the initial topics, then we can put more effort in the latter part. Otherwise, we'll balance it according to the background of the students. With these I think I stopped for this module. And for the next module, I'm also involved. And I think Michelle is around. So visually want to start for the next module.
I think we can go ahead and if need be, then I can so we
just I want to take a moment here as an interjection. Yeah, just want to again sensitize the the the participants or potential participants, about the time scale, we are talking about a five month project, a sorry, five month program, in which we are going to cover all 10 aspects. So that will effectively mean that there will be about two weeks to a weekend, two weekends of lectures, and about half a day or three quarters of a day, six hours of interaction at the physical level for each module, and everything is within that timeframe. So that's just a general comment about any of these modules that are going to be taught. So with that, I'm going to pass it on to processor
one minute amaresh. Yes, go ahead. And also Rajneesh. So there are lots of questions in the chat box. Yes, yes, I could see that. So can you answer at least some of them? And you can you can let me know? Or let us know. If you need help in any of the questions, show practices. You know, something like? No, like, what is the average experience of students enrolled in the course and things like that? Please answer those. We can answer some of the technical questions.
Absolutely. So what I was thinking professor, once we are done with all the modules will take the questions from the participants through the chat as well as they want to have any questions. Perfect.
Excellent, excellent. Let's do it that way, then. Let's not worry about it.
Okay, good. Okay. So, Rosa, we shall, we shall please introduce yourself before you speak.
Good evening, everyone. My name is Vishal Singh. Professor in the area of building information modeling, product lifecycle management, and design computing. And I will be involved in this course as one of the three instructors and looking at some of these aspects. So our budget will be explaining the basics and if need be, then I'll jump in as well.
Okay. So, this is actually the computational and AI part. So in the machine learning and artificial intelligence and data analytics will cover all three aspects in this module in this section, and artificial intelligence part. progress of predictor will be mostly covering and that part will be there the state pays Michigan State massage and vision inferencing and all these, then I will be a little bit contributing in the neural network side and The machine learning or soft computing side, I will be taking part to some extent, but mostly it will be led by Professor to the publishers. I think Victor is not here in this meeting. And latter part, I think, where the agent will modeling that will be taken care by a professor visual and visual, you can introduce the latter part.
Right. So if we look at smart manufacturing, a lot of it is now going to be in distributed environments. And which means there's a lot of autonomous and agency autonomous systems and agency in things around us. And in such environments, Agent based approach, or even the idea of intelligent agents becomes very useful. So this part of the course will look into that the types of intelligent intelligent agents, multi agent systems, and how to think of how to go about thinking about these kinds of systems. And some basics of that will be introduced. A third component, we'll also look into early introduction into AI and machine learning into solution generation. So, here, part of what could be generic design or synthesis of solutions within the context of smart manufacturing will also be covered. And that will give adequate basics to build on later on. Thank you. Thank you
shall thank you it will move to the next one. Dr. Tv brubacher. Have you joined? Yes, I'm here. Yeah, so please introduce yourself and then introduce yourself.
Hello, everyone. This is provoca. I'm from the Department of electronics systems engineering. And the item number five is under the IoT and digital twin, I will be handling this module. So the idea is quite simple that if you look at the current day IoT devices, they're highly integrated. Basically, we are looking at system on chip kind of devices where the analog to digital sensing is inside the DMA is inside the flash is inside the CPU is inside the radio is inside and so on. This essentially means are against the same clock rise, several of these devices may be functioning together and thereby increasing the power consumption of this device. The question is write intelligent software so that you will be able to keep the power consumption low and sort of target a 10 year plus lifetime for these IoT devices. So in this context, the SOC will be study. So we look at a low dropout regulators, the switching regulators, which are inside everything based on data sheets, okay, so it's all about practical design, what are the important parameters for an LD? What is PSR? For instance? And how do you find out what should be the inductor current, if you put a particular inductor, if it is a DC DC system, what kind of waveform Do you see and so on. So it's all about lifetime improving lifetime of systems and battery life calculations, and so on. This is one part. The second part is about IoT protocols. So you have several paradigms like a publish, subscribe, you have client server and all that. So we'll be looking at those protocols as well. Finally, we will take up a data driven construction of digital twins, and specifically, I will introduce you to physics models as well as the data driven model. And we will take a very simple case study, it could be a braided cable, or it could even be a solenoid valve, okay, one of them. And you're trying to estimate the the lifetime of this, either the cable or the solenoid valve by using some nice techniques, right. So essentially, predictive maintenance, and Health Index follows the model that you've created digital model of the system that you have created. So essentially, that is what we'll be trying to cover in this in this module. The lab exercises are also tuned in the same direction, you will have something related to programming, which will lie in embedded programming, looking at protocols and trying to construct, do some little bit of simulation study related to switching regulators and linear dropout regulators and so on. So essentially, all of that, ultimately, at the end of this module, you should be able to construct a IoT device, which will survive, let us say 10 plus years, and it should be able to do something useful. So that's the idea.
Thank you. Walker. I just move on to the next module, which is on virtual reality, augmented reality mixed reality and haptics. I think I would like Dr. veeth and Mr. Vishal to speak about this as well.
Okay, so again, I think we are missing predictor. So, the majority of this initial part will be covered by predictor, which was like the computer vision part. And I will be teaching in wherever it is needed. But mostly the delivery of the lectures will be governed and organized by predictive, and lateral, the haptics part I will be covering. And in the initial part, we'll be talking about the Virtual Reality Augmented Reality and mixed reality part. So happy to be calm in virtual reality, suddenly, and other aspects of virtual reality and augmented reality, which is the visual and auditory feedback and human computer interaction is suddenly involved we need. So that part we will be covering in collaboration in some parts we'll be doing, covering wherever needed, I will be you also contributing. And as I've already mentioned, that the time is constant, we'll be adjusting the same course content here builds on the students background and interest and the time available. And in terms of haptics, I have put some extra points. And because many of the students, they may not heard about the term haptics, so that they get some idea what the term means. That's why I have put some extra points. But I expect that the students will be attending this course they at least learned at least heard about the term virtual reality, you may not be augmented reality or mixed reality. So that's why I put some extra so haptics is not the virtual reality, but it is used in virtual reality. And it is still in research very much. So that's why I'll be trying to cover some basics, not too much in details, which is relevant for researchers or advanced students planning to do research in future maybe. So, that is what about this section. So, I may not be going too much details of each of the topics. But haptics, if we say that it is all about the touch, touch sensation, I will be talking a little bit about the human sensory system, because even for virtual reality, the sensation which is defining what is real, what is not real, it is all about our sensory system. So we need to certainly understand a little bit about the human sensory system and human perception, then we'll talk about also the machine part and computer part. So that way, this section is organized. So, I think I probably put a typo I put in Michelle's name here right. back to that.
So, I will be looking into here into two parts which is connection of AR VR with CAD. So and its relevance to a computer designer for license management. And within that context, then comes the question of data schema ontologies and semantics in the broader sense, semiotics are not just semantics, but also the pragmatic side of it. So, those two aspects I will cover, but as he said largely at the initial part will be covered by delicto. And haptics will be covered by Avijit and of course, in between Connect wherever the topics Connect across the three topics that we have listed here, the ontology is completely designed. So this is essentially the significance of augmented reality virtual reality and mixed reality in the context of the other applications. So it will also touch upon in connect with some of the other courses that you will do in this program.
Thank you very much. We shall Thank you very much. I will move on to robotics and autonomous systems, which will be taught by again, Bruce AASHTO. Shell and Dr. Rude actually. So I would like them to now introduce pasito, who has already already introduced himself, but he also is there please introduce yourself and please talk about this portion.
Okay. Hi, good evening. My name is Raj Audrey. I'm a professor of robotics and autonomous systems at ISC. And about this portions, I think I am in charge of two lab demos. So in First of all, I will be handling about four degrees of intelligent robot arm. Okay, it will be a vision based operation that we'll be performing. And the following tasks that we'll cover is we'll try to understand the robot principles and mechanism. For example, forward and inverse kinematics. We'll try to understand the robot assembly setup calibration, we'll do a simple test run. We will also learn about the programming of the robot and for a task Like I said, in our demo, we'll do it with a 2d printing task using the 4d robot arm. So that is demo one. second demo will be with a mobile robot. Okay, it's a mobile, I mean, robotic unit, that is basically a vision controlled robot that will navigate from point A to point B, and it will also be able to carry some objects with it. So the entire objective of studying this mobile robot would be to again the same understanding the robot principles, mobile robot principles and its mechanism, right? It's assembly setup, calibration, test run. Three will also learn to program the report. Last, not the least, we will do today navigation problem with following tasks like line following speed control and obstacle avoidance. So these are the two demos what I will be heading to I will be doing these two demos, and then Brock kachelle is there Who will I think, take it from here to talk about the theoretical part of it?
Yeah, so this is again, I'm a faculty in mechanical engineering and also in cpdm. So, I'm not sure how many of you had familiar with industrial robots. So, some of the contents will change depending on the feedback which I will take a poll right in the beginning. So, we will look at the very briefly some introduction to robotics. So different kinds of robots, serial parallel, flexible, various kinds of robots are there and also look at the main elements in a robot. So things like links, joints, actuators, sensors and so on. And also what do we do? How do we model and simulate robots Okay, then, I will also in between look at various examples of robots which are used in industry for welding for in cleanroom, operations and various other places. So, these are basically videos etc from internet. So, no, it's not done that I see. But, I would like to also show some of the research in robots which has been developed at ISC and elsewhere. So, we have been working on robotics for more than 30 years now. So, we have robots which can be used for sun tracking for sensing horses and dogs for vibration isolation, various areas we have worked on. So, I would like to show you a few of those. So, these are like case studies. Okay. So, there was a question in the chatbox as to how theoretical and how case study based this course will be, so, it will be a mix of both. So, same story with collaborative robots, initially a little bit about why we use collaborative robots, what are the typical usage. So, this is a very big topic in industry nowadays, because we want to use the advantages of a robot and a human being. So, typically, a robot can carry big objects, heavy objects and so on, whereas, human beings are very good at precision work. So, we want to have do a mix of both of them. But as usual, if you have a robot and a human being operating in the same place, you need to worry about some of the human factors and safety and so on. So, we are in the process of acquiring a robot, okay, collaborative robots are also sometimes called as cobots. And if and when this is set up properly, there will be a demo on that. The third topic, which we will look at is this autonomous systems. So, basically, we will look at real mobile robots and agvs which are extensively used in you know, many factories and many places nowadays. Again, the next two items will be a little bit researchy. So, we will look at also other kinds of robots which are walking or flying. So, this is not going into too much depth, but we will show what some of the work that we have done in ISC. Okay, and again, sensing and actuation key issues in motion planning and navigation, we will cover some of them. So, we will introduce these topics, list some of the issues. So, clearly it will not be possible to go very deep into each one of these topics. But nevertheless, at the end of the course, you should be able to understand the terms you should be able to know where to look for solutions to any of the problems that you have in either industrial robots or collaborative robots or autonomous systems. And there will be a demo as possible righteously as mentioned in this part of the course. Okay, so, I will take a poll right in the beginning to see how many of you so if everybody knows what is an industrial robot, then that part will be slightly smaller. Okay, thank you very much, and welcome to this course.
Thank you. Oh, thank you. Thank you. We'll move on to the next one and that is about additive manufacturing by processor teams, who was Dr. Koshi, vishwanathan and propinsi Ron. So, I, those who are present here, I know already, processor team and Dota two see we're here. Of course, it is there, please join the team and please can you introduce yourselves and then introduce this course is probably the most detailed write up that I have a seat. So, I put everything here
Thank you Professor embrace and I welcome all the participants potential participants to this course is attempt to us and Professor of materials engineering and also associate faculty in C PDM. So, my approach to additive manufacturing will be from materials perspective. So, as many of you would know that most of the problems in additive manufacturing are related to materials and all the limitations as well as the post manufacturing performance are related to materials. So, we will take each of the topics one by one, first of all, we'll start with why do we go for additive manufacturing and why it is needed and why it is very much needed. So, we will go ahead then we will go ahead with a systematic classifications of the process. And what kind of different additive manufacturing processes are into existence, what which ones to apply for which type of materials which type of products, we will go then we will go ahead with the process physics, where we can tell the role of the entire process parameters or process variables in terms of how do they play a role in making actual product that that we will deal with a little bit of mathematical terms will come like related to some heat transfer and other things we will make, we will try to minimize that regard, whatever comes in, because this is a limited time. And then finally, we will then the next part will be designed for additive manufacturing. This will be taken care by either Professor anantha Suresh or professor Akashic vishwanathan, where he will just tell you how to design for getting a specific components, right, and how to get different attributes like light weighting, and then functionality integration of different components. Because one of the most important attributes of additive manufacturing is you can combine many subsystems into one. And that solves lots of engineering issues in exempt systems. So there, I think these these topics will be covered by our colleague. And then later on, Dr. Tulasi. Rahman will take care of the other applied aspects of it. So Dr. Rahman, would you like to come in?
Yeah, sir, myself, Dr. Lucy Rahman, I am working as a program head for at Center of Excellence ready to manufacturing cpdm. I see. So, as Professor Satya mentioned, we'll be covering particularly the editing, eye recording additive engineering and process physics aspects. And also as processor Tim mentioned, we'll be going through the systematic way starting from you know, the design for additive manufacturing or light weighting other aspects like different processes and raw material and quality control lane process. So, those things will be discussed and the lab training part, we will be giving a demonstration and some kind of hands on experience for with some of the machines we have an IC particularly we have a laser D remission. So, we will be demonstrating to the on the participant and wave applications, how to design a parts for laser DD applications and then we have EBM mission. So, it is gainer in house built machine they will be teaching how the powder bed process works. And we will be teaching the bike particularly the software which is used for you know, creating supports in the part printing, petroleum, we have a metallized software, we will be teaching some other aspects on the part building and the support generation. Yeah, that's it from my side. Okay, thank you very much. And then we'll move on to design for additive manufacturing. There's a dedicated course on how you can design parts such that they're more amenable to being melted. Using additive manufacturing, I'll ask Professor Gian Suresh and Rosa, Ruthie to speak.
I don't know if I'm Swedish is that is not I think, so I'm going to start. So, yeah, this was mentioned this in his other class and this whole course, it's actually devoted to the aspects of design for additive manufacturing and we approach it from two ways one, where there is a design and you want to tweak it, so that it exploits the features of additive manufacturing the best and to your design itself, you know, exploits the capabilities of additive manufacturing and the topics basically, to look at representation of shape that is amenable to additive manufacturing. One of the interesting things that is happening is that the traditional CAD models are found to be having some limitations, insofar as their use for additive manufacturing is concerned, particularly the fact that they are unable to capture material representation, right. And also the way geometry is represented for processing and by the controllers have these additive manufacturing machines. And so, those two aspects will be covered in the first two topics. The third one is product representation for additive manufacturing, this is think of this as feature based design for additive manufacturing. So, the features that are pertinent to the additive manufacturing processes are being identified. And the hope is that one can construct your CAD model basically using these kinds of features. The next two topics have to do with the fact of you know, exploiting the principle behind additive manufacturing, and the understanding of the process that is followed in the manufacturing process or a machine to take advantage of that. So one of them puzzles was mentioned is unitization, where you can have integrated structures, you know, created using the additive manufacturing process. And there are similar design principles that one can have to reduce the number of parts that you have in assembly. And so we will spend some time looking at these guidelines and rules that can define the design for additive manufacturing. The last one topology optimization is the part where we actually look at, you know, truly designing differently for medicine, not that you have already defined the shape. And now you're trying to do it in manufacturing, but rather that you want to look at a shape that best exploits, you know, are can only be made by additive manufacturing and topology optimization is a very popular broad technique to come up with parts that can only be done by additive manufacturing, while providing optimal performance, insofar as the functionality of the part is concerned. So that will be covered by preserving the storage. And, yeah, that's pretty much what I had to cover in this. Thank you. Thank you.
I will now ask bruiser Ramachandra hosta to talk about the the module on cyber security, which is an extremely important topic in the context of smart manufacturing and manufacturing industry. propoints Rosada Hello, I'm Professor RCL SAP from Department of Computer Science and automation. So I'll be taking this course on cyber security. I have a similar course here not exactly similar, but somewhat related network and distributed system security in is. So industry 4.0 and you should know that this is the fourth industrial revolution and compared to the previous Industrial Revolution, this has some advantages over that that's why people are going for it okay. So that is the first thing. So when you go for this fourth industrial revolution it comes into distributed systems the various components of the systems are distributed across the globe, maybe. So this digital manufacturing or industry 4.0 internet enabled distributed systems, but when you have a distributed system, there are security issues, various kinds of security issues that can arise and Emma gross and for example, a hacker can modify your especificaciones so whatever you wanted to modify, it is a smaller by a few millimeter Finally, so and you don't know what is happening. The song because it is so difficult to check and one of the product that you have produced actually there is only a very minor defect and you are not able to detected, and the millions of components have been rolled out. And then and finally you come to know them, they are all defective, because that's hackers have hacked your system and you are in problem. So in this course, we will try to understand the basic issues securities within distributed systems. And and how do we fundamentally deal with them using cryptography and security protocols? Okay, so in this lll, talk about those security issues in distributed systems, and then I'll give you a brief overview of one way one one functions, which are essentially used to design security protocols so that they can meet your security objectives, the the, the attackers cannot meddle with your systems. And then it is not just one way one one functions. There are hardware and software support from operating system and other software to provide security. So I'll be also dealing with them. Okay, because there are different kinds of software letters they are starting from operating system support to Hello. Hello. This is Ron Rosen has the piece game. Yeah. So the operating system support and there are various types of topics that are used, for example, you can use virtual machines, or you can use you know, Dockers and containers will be used. So we'll see how different how the security support is provided in these kinds of systems, okay. Then we talk about the attack mechanisms, the hackers are third party attackers make a job, essentially, there are different tools, they will make a job. So we'll talk about the functionality of the tools, how they get into the systems and attack your systems. And then there are a attacker might use not just one tool, but it may use a sequence of tools before it can attack your system. So, an overall attack mechanism also will be discussed. And then we
see what are the standards that have been proposed for dealing with security issues in digital manufacturing. So those are essentially five this one, identify, protect, detect, respond and recover. In each category, there are several subcategories that needs to be taken care of, to have a secure digital manufacturing systems. So that's all essentially our focus will be on concepts, so that you can understand the different mathematical tools, and the different techniques, how they are interplaying with each other, to provide the required security. So if there are any questions, I'll be answering them.
Thank you, Professor Ramesh. So now we'll just take few time. I mean, we'll take couple of questions from the audience or the participants, and then we'll take it forward.
Professor Umbridge, before we move on to the q&a, like we would just want to understand more about the cpdm department.
You want to understand about the cpdm department okay. I think okay, so I just introduced so center for production and manufacturing is the design and manufacturing phase of ISC, where design and manufacturing as activities in their own right are looked into and researched on and how that can be empowered through various integration of various technologies that are for example, getting developed in other departments are also something that is looked into. So we have, broadly two programs. We have a master's in product design and engineering program, which is running for over 25 years and produce all the finest designers in the country with a very strong technology centric product development, vision that has championed hardware centric product development in the country. And the second term that we have started more lately. He is on a master's in tech in smart manufacturing. And our research goes on a long time. And we have had been working I think some of the pioneering work in 3d printing was carried out in ISC. And later on in cpdm, and then we moved on to both design and manufacturing research, we have been a partner IC has been a partner, strategic partner of Boeing Company in the US. And I think it's 2014 when, with seed funding from when we started India's first smart manufacturing r&d platform, and more lately in 2018, with funding our 25 crores from Department of industries, this is this has been expanded into a full fledged, smart factory demonstrator platform that showcases both the human centric vision of industry 4.0 and automation centric vision of industry 4.0 So, this facility is very much something that we'd like to show this to you and also get you exposed to as part of this training program. So cpdm is essentially bringing in the expertise of not just the PDM but also of 11 other departments within the Institute. They've already heard from Rosa has the frog computer science, Professor raga from electronic systems engineering and so on elite Materials Engineering from processor theum and several people from mechanical engineering and so on. So, the idea is that industrial policy to detail malefic is something that you cannot teach with one particular technology department, you need to bring in expertise from multiple sources, that's exactly what is being carried out here as part of this program.
Okay, thank you, Professor life will now start with the current lay questions that we have from the attendees. So, Professor,
we have received a huge number of questions from people who are basically from a non engineering background, but they do have work experience with manufacturing industry. So, could you just help us like how this program might help for people who are from knowledge engineering background, and they do have like more than 10 years of work experience in say manufacturing industry?
Okay, I will actually deflect ask that question back to our colleagues who are going to run the individual module. So, can people from the individual modules please take up this question? Yeah, please go ahead. Right.
So, I think whatever additive manufacturing part is concerned, then you don't have to know too many too many are basics. A basic understanding of basic understanding of the processes and the general science, what everybody comes through is general science or general engineering is sufficient. So, we will try to bring it to
based need based course. So that and before that as Professor ashitaba Rochelle also has told that we will do some some kind of a quiz initially to know what all you could handle and we will kill the courses according to that, because we also feel that the success of a course is how much it is received by the by the participants. So I think we will tune in at least for additive manufacturing part we will not have too much of a restriction.
At least somebody else also speak. May I ask? Maybe it was a glooty.
I guess, you know, if the question is they are undergraduates degrees are not in engineering, but they have experience in if that is the question. Yeah, to be honest, I don't know because a lot of the material that we cover right can be picked up without too much of any prescribed any prerequisites. But thing is that the narrative and the language is a very engineering oriented language. Right. And so if there is similarity with that language, then you know, possibly, they can manage right but If there is a disconnect there, then I think there may be a problem. So I would probably feel more comfortable with undergraduates in engineering, any branch of engineering or, you know, at least a science math person who's comfortable in science and math, but has extensive experience in manufacturing so that they know the language. Both of these should be okay, if neither is there, then I think we may have a problem.
And in some sense, if we had, the breach course, is an indicator. If you are really struggling to finish the bridge course, then probably, you're going to struggle during the actual course as well, because a breach course is intended to provide at least an absolutely essential background that is necessary for running through and successfully completing the rest. Thank you, thank you, Professor gomati.
We have another question around the same line, like most of the participants either have basic knowledge of programming like or they have done at some point in their career. How comfortable would they be in this program? Like we have the bridge module, but saying that they always ask for people that have learning that is required. So if you can just tell us more like,
I'm going to ask this question specifically. First, and then Dr. V afterwards.
Yeah, in my course. So, this would have been essentially anyone who has done basic mathematics of set theory. And also know functions and relations should be able to do some background or operating systems, but that I will also cover it, I'll give some intro to it so that they can understand what is going on around. Okay. So, that is what is required in my course. So for example, amendment LLC theory on some different upon some relations, and maybe group theory, but that group here anyway, I can introduce in the class.
Okay, thank you pros. Can I ask to speak about the digital, twin and IoT Core? See, what is the programming background that is minimally necessary? Sure.
So from this module perspective, I think basics of C is already good enough, if someone is comfortable with Matlab is also fine. And you don't need to go into great details of pointers and working with pointers and all that simple programming is already good enough. And as far as the mathematics is concerned, I don't think it will be any deep stuff we'll be using as a little bit of analytics related to building, you know, data driven models, so some analytics will be So apart from that, it's not anything. It's not very similar
to In other words, anyway, see is being covered as part of the bridge course. Correct? And some of the mathematics as we discussed earlier in our discussions, yeah. So in some sense, those are going to be kind of covered. So once again, the viscose plays an important role. Absolutely. Thank you very much. Me, I asked Dr. Who He thought process Michelle to speak.
Yeah, I think the criteria already mentioned. So this science background students who haven't done engineering, they will be more or less fine with the electronics mechatronics part at the programming suddenly C, Python or MATLAB they will also be fooled to some extent, but C will cover a broader respect, Python MATLAB, certainly c c++ c means not only c c++ also may be useful for image processing aspects. The libraries will be used for image processing or video processing, they will be meeting c++ as well. But Python also can live there are two c, c++, Python and MATLAB some basic idea investments, which will be helpful in the programming aspects, otherwise basic mathematics, school will finish school mathematics will be sufficient, for other part regarding mechatronics or the IML. For this, to visually Connect something on that
I think we had a meeting amongst the among the faculty meeting as well before when we were planning this program, together with the team as well. And then the the discuss that whatever is covered in the bridge course should be adequate and we can plan around it. So I think that level of coding were the basics of C, c++, or Python and to the level that is covered in the discourse. should suffice and whatever additional is needed I think will be taken care of by the specific instructors.
Thank you very much. I think I just asked me is Professor Otto Abreu want to add anything to this?
Yeah, this is a struggle. So, in the robotics Part No, it is a good idea that you must have done some math not very detailed maths, but some maths and mechanics okay. And also, so, at the level of class 12 if you have done science with math and physics and maybe computer science or something like that, that should be enough I in the robotics part, but as prosecutor Muti said you know, he you should be be able to understand, suppose I say something like a rotation matrix, okay, if it is completely Greek to you, if you have never heard of a word called rotation matrix, then it might be slightly difficult. Or if you don't know what is a vector, or if you don't know what is from let's say, F equals MA equation of motion, something like that, you know, you should be able to understand those words. And so, in the course, we will introduce we can always spend some more time offline if you have any specific difficulty in any part of the course. Okay, thank you very much. All right. So, are they actually want to the next question?
Surely professor, so, we have a question from searching fulltiming and he asked like with a course cover er p MBs. On its integration.
Yeah, it will not cover this in depth detail. Okay. And maybe Rosenbluth he can say whether any of these are covered in detail in Indian manufacturing goods. Yeah, it will not be covered.
Yeah, it's primarily you know, lack of expertise on my part, but we need to find we have to fill that gap if that is being asked by a lot of people then we should fill that gap. But right now, no,
yeah, as far as the industry football is you know, fundamentals is concerned, this will be touched on as an overview, but no, no detailed covering of them at the level that you can take the competence and start integrating is not going to be covered.
Okay, Professor, so, we have another question like, what are the kinds of lab exercises that will be done like and what are the kind of software's provided during the program that they will the participants will be required to use?
Okay, so, this again, is there is no general answer to this question. So, I will start with Rosa Ruthie what kind of software they will go maybe step by step to others,
okay. So, I mean, the, I don't think you know, the candidates, the participants can use any tool in the, you know, eight hours or 16 hours that they are in contact with us on the lecture format, we may demonstrate, you know, some of these tools on the screen, when they come here for the contact session, then we may walk them through some of these tools, so, we have access to pretty much all the major platforms. So, as I said, you know, uwg, and Katia SolidWorks, all of that is there. So we will offer you know, depending on the size, and the number of stations that we have, we will probably offer exposure on those tools, but I don't think during the lectures, we can have people access these things. So, we will have to only show them, you know, snippets and demos while we give the lecture. Yes.
Thank you, professor, are this another question like, do we have some case studies or will there be any capstone projects, which will be covered in this program.
So by and large, we are not planning to cover capstone projects. Once again, you know, we need to understand that this is a relatively compressed course, where we are trying to give a 360 degree view of industry 4.0 and therefore, none of these can be covered. Just just to get this sense of time here, we are talking about 20 hours to be spent on each module. Okay, a typical Master's Course will be about 40 hours. So we are talking about half the intensity of a master's level course, and a few a number. So we are talking about a quarter of a master's level program here in these five months. And of course, that timeline wise also makes sense, because you're talking about the five month program rather than a 24 month program. So that's the expectation level that we need to keep this at. So the expectation is not that you will be competent in each them, but you will have a pretty good idea with the basics of each and how they relate to one another, so that you can probably take later a deep dive into a specific course as part of some other program. Okay, that is the level of expectation that we need to show. Thank you,
Professor we have on the question from beneath. So he's asking if you can give him some details about the hackathons.
It is all what hackathons, hackathons, hackathons, which was mentioned, I think we need to remove that because I think we have taken a decision that there will be there is no time for hackathon now. We need to take it out.
So, we have another question from him. So anything on ergonomic and aesthetic aspects of product manufacturing,
not specifically on this program, no ergonomics, how aspects will come as part of the AR VR haptics part but this will come only is a as a as a as and when they are related. But no, there is no specific course here on ergonomics as part of this program now, not aesthetics either.
Sure. Thank you, professor. Now we have one question from one sec. Attorney. You can go ahead with your question. Earlier on mute. You can work
here we'll take up the next question. So this is from Pankaj. So any topics related with CFD and its applications and product design?
This is not a course on product design. This is a course on digital manufacturing. So I don't know whether any, any maybe guru covering anything on CFD here? No, no, the answer is no. Thank you,
professor. We are now asking the participants to like if anybody is interested, they can just raise their hand we will allow them to speak and like as they're quite used to the priorities gentle. So any of you like Mr. Chandra Prakash, you can go ahead with your question. Okay, can you hear me? Yes, Mr. champion? Yeah, I want to know about new product development, because
you're in this course, we are not going to cover new product development, the focus will be on digital manufacturing and smart factories that actually have led our team empty like I am nobody. Well, in that case, this program is probably redundant for you.
Okay, thank you. Mr. g. You can go ahead with your question. Yeah, Hey, how you doing? So my question is basically I am from IIT background. So I have almost a decade of experience in it, working as a data engineer in the Tannadice. So I just wanted to know whether this course will be best for me or not.
difficult for me to answer, what you will, you will find interesting, and we have seen the course right, we have gone through all the world modules that are going to be part of this, and the level at which it will be pitched. I think you need to take a decision, whether it's, it's appropriate for you or not, it's hard for me to answer your question.
Friend, and it's just like this recording will be shared with all the participants. So you get to go through. Is there any chance like this recording will be shared with the participants? So RG two main this webinar, right? Yes. Yeah, that we will. Okay. Thank you.
Melody. Yes. If you can go ahead with your question. Yes. Yeah. I'm audible. Yes, you are. Yeah. My question is to Professor amrish. I hope I'm pronouncing it correct, sir. Yeah, please go ahead. So Sir, I'm working as a color test engineer from the last six years. So I have a experience in different testing domain, from manufacturing to, you know, offline machines and all those things. So I was always interested in industrial automation. So that's the reason I enrolled for this course. I'm interested in there. So I just wanted to know what would be the exact outcome of this course because there I see it's such a vast curriculum and very short time period. Can you can I expect after the course completion Will I be a good fit for the industry immediately after the completion or what I need to focus on and apart from this like what kind of study material I will be getting it through through the code during the course and after completion of course, like it so,
okay as far as the first question is concerned, what is the expectation we expect that those who attend this course will be getting a complete exposure to what is digital manufacturing in industry 4.0 Okay, okay. And we don't expect that they will become expert in any of this specific area, okay, but they will have enough exposure, that they can decide whether they would like to become an expert in any of this area, and then seek appropriate program or course for that, okay. Okay. And whether that will make you immediately applicable to a particular industry will very much depend on the industry. I know that right now, at least, at least in this area, because we have started a master's programs master's program, of course, is more in depth than this master's program actually expect there is a lot of interest from industry in that area, you know, our students are sought after. So all I can say right now, because we don't, we're just starting the program. But a couple of years, we'll be able to deal with much greater intensity, but most for our smart factory work, we have very strong industry connect 20% of the money comes from industry in terms of supporting it, and similarly for the program, how it is supported by industry, when our students go out. So that's all I can say at this point of time, because I will be very happy when I have some numbers that I can share that okay. So, any comment about my study material questions related to study material generally will be I think the the plan is for sharing all the study material in the sense that largely the program will be using slides and there will be pointers to groups and other things, other bigger resources, that is primarily the slide studying material that we share. Okay, okay, so are you quite convinced with answers? Thank you. Thank you. Mr. Panda, you can go ahead with your question.
Hello, dear professors, I have currently working for a smart manufacturing projects in the semiconductor industry. So have 14 plus years, but I have a non engineering background. So I can able to understand the acronyms used in the in this course actually would like to understand whether I can able to whether I can join for this program. I think we tried to answer that question earlier. I actually, I am actually disconnected because due to network problem,
let me let me repeat. Okay. Pro broadly, what we're saying is that somebody who is working in this area and therefore understands the language, and also has a background in science and mathematics. Okay. And with some programming background, part of which is already covered, going to be covered in the bridge program should be able to run this course. And I think from your background that I hear you have those.
Yeah, thank you, professor. And also one question, actually. So you told us there will be a Master's Course program coming up. So is there any, there's a 22
foot Master's courses running anyway, I mean, that is a full time Master's Course. With a master's program in smart manufacturing that is running for three years now. We already did the first batch, which is fully employed, and then new batches have come. So that is going in and increasing the number. It's a 24 months program, where again, at least CCD review of industry 4.0 is given. But of course, we have more time in our hands so you can go into depth in each of these. Okay,
okay. And also, those are not meant for working professionals. Right, professors. Well, it's a full time course. Full Time course. Okay. Thank you.
Before taking the next question, Professor, if you could just stop sharing this presentation. Yeah, yeah, sure. Thank you. Mr. Mr. Attorney can go ahead with your question. Istanbul is muted. Yes.
We got a question from Mohan and darkish.
Mr. Mohan you can go ahead. Hi, I am currently working on the manufacturing industry. So, recently I take a role on the implementing a smart factory solutions across the manufacturing sector. So further to layer basic conditioning on IoT, but I'm planning to learn this core low cost to understand the more in detail. So, but this course module is, I think, many model is there. So, how do we able to cover this all in five months? So, it will be very difficult to cover this one. And is there any option to select which model of my choice, for example, added to manufacturing is on a mechanical side that I am not registered. So if any model of my child is able to select, it's possible to select
No, this is not something that we offer as a bouquet and then you choose one and then you go into full detail on that one, I think this is the entire thing is an offer as part of this program. So this is more to make you a okay. Understanding and competence on the entire area rather than in depth understanding one particular area.
Yeah, since it is a weakened course. So I feel whether it is very difficult to complete the course. And understand within the five months of time. So I want to know how the schedule for example, week with
Yeah, okay, so let me as I said, roughly two weekends will be spent on each module. And there will be if COVID permits, there will be two visits to ISC in which some of the hands on work, essentially demos and exercises and so on. And that will vary from one course to another that will be done. So effectively. It's a 22 weekend course. Okay. Yeah. Okay. Thank you. Yeah, sure. Okay, someone?
Well, Professor, so if you can just tell us something about the smart factory visit.
Yeah, so the smart factory is, as the name implies, it all the components in a factory that you typically have the people product process tools and environment, they are meant to be connected. So it's a connected factory connected through IoT, where each of these elements will be collecting their own data, and pushing that data to some storage, where these will be visualized as the world if you like, entire factories a system and how it performs as a system and decisions can be taken based on that. In addition to that, there are certain areas in which there will also be analytics, that will tell Okay, based on this data, it appears that this portion is not functioning properly, and so on. And that will help decision making in terms of multiple, essentially the world functionally of the factory. And what the factory has is it has two parts. One part has legacy machines, like a typical manual LED, and manual, grinding machine and so on. And another part has all the sophisticated high end machines that already have their data layers, like a metal additive machine, manufacturing machine, a five axis CNC machine, a metal laser out a collaborative robot, automated, guided vehicle, and so on. So the idea is that if you look at the legacy part of the machines, that is typically what you see in a micro, medium or small enterprise, right, is largely people intensive. And the machines don't have a data layer. But what happens if we add data layer to that? What happens if we connect them together? You know, do we get a dramatically different performance from it? Okay, how do we take the the gender of factories in the country, here to become smart factories. Second is, what does automation bring in terms of what industry 4.0 promises to be? Okay, so basically, these are all connected to each other. And what you will see in the smart factory is a demonstration of how that performs, how that continues. How is not actually happened. So that's basically what it is.
So professor, one more question, which we have from Mr. Adhikari, he wanted to know if robotics model cover industrial robot teaching or programming as well.
I will ask my colleagues prusa or Dr. Abu to answer that question.
So it will cover industrial robotics, but I'm not you know, it's not not yet clear whether he will you know any particular industrial robot we will not cover. For example, if you are if your company is using some particular industrial robot and you want to program that we are not we are not going to cover it like that, but we will definitely look at all the aspects of programming of a robot. So, I hope that is is that is a answered, accept the word clear. We will try to inform the same to the muscles. Yeah.
Oh, we Okay, before we take on any more question, like we've just launched a poll to all our participants where we have feedback about the session. And I can see that there are not many questions about the program itself. But to have a high level understanding of it, it's a five month weekend program, weekend, an online faculty led program. So we have shared our contact details on the screen. So you can directly reach out to us and it is a time constraint. I think like you're already ahead of time, like, so you will not be able to take more questions, professor. like would you be?
Yeah, it might be worthy for you to look at those questions and see whether having the questions will be clusters. Right. Many of the questions are the same. So is there any question that is left?
Sure. So professor, what we will do, we'll try to get all these details. And if there is any generic question, we'll definitely try to highlight the same and answer the participant regarding the same or if it is more technical based. Definitely we'll reach out to you understand. Okay, I think that's a good plan.
Yeah. Yes, yes. Like, we would like to thank all the professors who joined us and who provide us like, in depth understanding, like insights about each and every module. And it's indeed going to be very useful for all the aspiring participants to take a district who are planning to take on this program. You so much,
thank you so much, Professor amrish. And thank you, everyone from the faculty. It was really helpful. And definitely we are going to pitch the same with the participant. Thank you so much for all this.
Yeah. And my personal thanks to all my colleagues to show you to take the time out and thank you. So I want to leave now. Okay, thank you all. Bye. Bye. Thank you.
Watch the entire interview here https://www.youtube.com/watch?v=RRK7_bk-87Y