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Additive Manufacturing and Welding
США
Добавлен 22 сен 2021
Additive manufacturing and welding research. We use the emerging tools of mechanistic modeling and machine learning to improve additive manufacturing and welding without expensive and time-consuming trial-and-error testing.
Theory and Practice of Additive Manufacturing - Tuhin Mukherjee and Tarasankar DebRoy (Wiley, 2023)
00:00 Introduction
01:00 Special features
05:11 Content highlights
05:56 How to get a copy/QR codes
In recent decades, additive manufacturing, also known as 3D printing, has garnered widespread acceptance across industries due to its capacity to economically produce vital components. Our newly published book promotes quantitative scientific understandings of additive manufacturing of metallic materials, ceramics, polymers, and composite materials. It covers the fundamentals of heat transfer, microstructure development, mechanical properties, defect formation, and residual stresses, alongside part design, sensing, process control, safety, sustainability, economic considerations, and numerous o...
01:00 Special features
05:11 Content highlights
05:56 How to get a copy/QR codes
In recent decades, additive manufacturing, also known as 3D printing, has garnered widespread acceptance across industries due to its capacity to economically produce vital components. Our newly published book promotes quantitative scientific understandings of additive manufacturing of metallic materials, ceramics, polymers, and composite materials. It covers the fundamentals of heat transfer, microstructure development, mechanical properties, defect formation, and residual stresses, alongside part design, sensing, process control, safety, sustainability, economic considerations, and numerous o...
Просмотров: 507
Видео
Keyhole mode wobble laser welding of a nickel base alloy - modeling, experiments, and process maps
Просмотров 6757 месяцев назад
00:00 Introduction 02:31 Keyhole geometry 02:59 Temperature and velocity fields 05:02 Experimental validation 05:40 Process maps 06:09 Main contributions Keyhole mode wobble laser welding of a nickel base superalloy-Modeling, experiments, and process maps, Tuhin Mukherjee, Mingze Gao, Todd A Palmer, Tarasankar DebRoy, Journal of Manufacturing Processes, 24 November 2023, Volume 106, Pages 465-4...
Reliable reverse modeling of additive manufacturing by Tarasankar DebRoy - a keynote at RAAM2023
Просмотров 5707 месяцев назад
00:00 Introduction 02:49 Type of modeling 10:29 Reverse modeling 13:26 Improving reliability 17:59 Tailoring fusion zone geometry - a case study 23:01 Main contributions Heat transfer and fluid flow models can provide valuable insights into additive manufacturing processes and materials such as the fusion zone geometry, temperature fields, and cooling rates, that cannot be easily obtained other...
How to control microstructures in additive manufacturing?
Просмотров 1,5 тыс.9 месяцев назад
Reusable insights on the control of microstructure in additive manufacturing, not available in individual papers, have just been published in Progress in Materials Science (107 printed pages of unbiassed, alloy-specific solutions). The paper is entitled “Control of grain structure, phases, and defects in additive manufacturing of high-performance metallic components” published in Progress in Ma...
Modeling of common defects in additive manufacturing by Tarasankar DebRoy
Просмотров 1,4 тыс.10 месяцев назад
00:00 Introduction 02:15 Common defects 04:47 Selection of models 05:45 Lack of fusion defects 15:28 Solidification cracking 18:16 Residual stress 20:58 Main contributions Properties and serviceability of metallic parts made by additive manufacturing are affected by various defects such as cracking, porosity, and other voids, surface roughness, and waviness, loss of alloying elements, residual ...
Integrated modeling of cracking during deep penetration laser welding of nickel alloys
Просмотров 714Год назад
00:00 Introduction 02:04 Theory 04:09 Cracking susceptibility 05:50 Mechanisms 07:05 Modeling 10:56 Results 14:21 Summary and conclusions During deep penetration laser welding of nickel alloys, interactions between composition and processing conditions can lead to the formation of defects. Inconel 740H, for example, has demonstrated a susceptibility to horizontal fusion zone cracking at locatio...
Thermal Cutting, Welding and Joining - Animated Overview of the Processes
Просмотров 953Год назад
00:00 Introduction 00:21 Cutting processes 01:54 Welding processes 12:12 Brazing and soldering The following video is a series of educational animations that illustrate the common welding, joining, and thermal cutting processes including SMAW (MMAW) (stick welding), GTAW (tig welding), GMAW (MIG welding), FCAW (flux cored arc welding), MCAW (metal cored arc welding), SAW (submerged arc welding)...
Vapor pressure versus temperature relations of common elements
Просмотров 245Год назад
00:00 Introduction 01:16 Why vapor pressure data? 02:02 Problems with current data 03:02 Use of the genetic algorithm 05:16 Recommended data The vapor pressure values of common elements are available in the literature over a limited temperature range and the accuracy and reliability of the reported data are not generally available. We evaluate the reliability and uncertainty of the available va...
Hands-on machine learning in additive manufacturing that everyone can use
Просмотров 1,8 тыс.Год назад
00:00:00 Introduction 00:01:22 Metal additive manufacturing and its uniqueness and opportunities 00:08:08 Why we need machine learning? 00:10:03 Different types of machine learning in additive manufacturing 00:12:25 Control of grain size using machine learning 00:14:12 Control of residual stresses using machine learning 00:20:39 Control of lack of fusion defects using machine learning 00:27:08 ...
Control of structure, properties, and defects in additive manufacturing
Просмотров 2 тыс.Год назад
00:00:00 Introduction 00:01:43 Metal additive manufacturing and its uniqueness and opportunities 00:06:01 Control of structure, properties, and defects 00:08:17 Why we need digital tools? 00:12:41 What is a mechanistic model? 00:23:24 Control of grain structure 00:29:18 Control of properties 00:36:51 Control of lack of fusion voids 00:44:09 Control of residual stresses and distortion 01:01:20 C...
How everyone can model additive manufacturing to print superior parts - A Keynote at RAAM2022
Просмотров 1,3 тыс.Год назад
00:00 Introduction 01:42 Three reasons why 3D printing cannot do without modeling 06:36 Four examples of models that beginner researchers can develop 14:23 Examples of models developed by experienced programmers 17:29 Examples of models developed by experienced researchers 21:30 Main contributions and outlook This talk was presented at the 2nd International Conference on Research Advances in Ad...
Digital Twins in Additive Manufacturing - Concepts, Building Blocks, and Applications @Univ Michigan
Просмотров 2,2 тыс.Год назад
00:00 Introduction 06:46 Benefits of a digital twin 09:46 Attributes of mechanistic models, machine learning, and digital twins 16:36 Scientific, technological & economic problems solved by digital twins 20:31 Components of a digital twin in additive manufacturing 45:39 Current uses of digital twins of additive manufacturing in the industry 47:06 Outlook This talk was presented in the Departmen...
Laser additive manufacturing of grade 91 steel for affordable nuclear reactor components
Просмотров 416Год назад
00:00 Introduction 01:21 Outline 01:56 Background 03:32 Project plan 05:28 Recent results/tempering 07:44 Model development 10:11 Samples/microstructure 12:08 Summary and future work Grade 91 ferritic/martensitic steel is a promising structural or cladding material for various nuclear reactor applications. The main objective of this project is to develop a method and process model that provides...
Spatial variation of hardness during additive manufacturing of a ferritic steel
Просмотров 686Год назад
00:00 Introduction 01:59 Why martensite forms? 02:35 Tempering kinetics 05:45 Spatial variation of hardness 07:34 Main contribution Grade 91 steel forms martensite during additive manufacturing and the extent of tempering of martensite significantly affects the mechanical properties of parts. Currently, there is a lack of quantitative understanding of the tempering kinetics for this steel, and ...
Lack of fusion voids, balling, surface roughness, and residual stress in additive manufacturing
Просмотров 1,6 тыс.Год назад
00:00 Introduction 01:16 Lack of fusion defects 07:52 Balling 10:44 Surface roughness 14:02 Residual stress 16:39 Main contributions Lack of fusion defects, balling, surface roughness, and residual stress are among the most important defects in additively manufactured metallic parts. Mitigation of these defects based on emerging digital tools can avoid expensive and time-consuming trial-and-err...
Real-time monitoring of metal transfer and melt pool for gas-metal arc directed energy deposition
Просмотров 846Год назад
Real-time monitoring of metal transfer and melt pool for gas-metal arc directed energy deposition
Reducing lack of fusion voids in 3D printing using machine learning
Просмотров 666Год назад
Reducing lack of fusion voids in 3D printing using machine learning
Heat transfer and fluid flow in additive manufacturing
Просмотров 1,6 тыс.Год назад
Heat transfer and fluid flow in additive manufacturing
Reducing surface roughness in additively manufactured parts
Просмотров 1,5 тыс.Год назад
Reducing surface roughness in additively manufactured parts
A Machine Learning trick that everyone should be using
Просмотров 1,5 тыс.Год назад
A Machine Learning trick that everyone should be using
Control of microstructure in additive manufacturing by Dr. Alex Plotkowski
Просмотров 4,8 тыс.2 года назад
Control of microstructure in additive manufacturing by Dr. Alex Plotkowski
Machine Learning in Additive Manufacturing
Просмотров 3,8 тыс.2 года назад
Machine Learning in Additive Manufacturing
Minor alloying element variations and microstructural evolution in additively manufactured materials
Просмотров 1,1 тыс.2 года назад
Minor alloying element variations and microstructural evolution in additively manufactured materials
Cost competitiveness and quality consistency in metal printing
Просмотров 5582 года назад
Cost competitiveness and quality consistency in metal printing
Rapid calculation of residual stresses in part scale additive manufacturing
Просмотров 3,1 тыс.2 года назад
Rapid calculation of residual stresses in part scale additive manufacturing
Iowa State talk on improved quality consistency through smart metal printing
Просмотров 4292 года назад
Iowa State talk on improved quality consistency through smart metal printing
Solidification cracking of a nickel alloy during high-power keyhole mode laser welding
Просмотров 6222 года назад
Solidification cracking of a nickel alloy during high-power keyhole mode laser welding
Smart Metal Printing - a plenary talk at the 4th International Conference on Advances in Mech Eng
Просмотров 5442 года назад
Smart Metal Printing - a plenary talk at the 4th International Conference on Advances in Mech Eng
Lessons from a great teacher - stories of trouble in tranquility and a vanishing platinum crucible
Просмотров 2712 года назад
Lessons from a great teacher - stories of trouble in tranquility and a vanishing platinum crucible
Innovations in Engineering Materials Powered by the Digital Revolution - Keynote at Mahindra Tech 22
Просмотров 2682 года назад
Innovations in Engineering Materials Powered by the Digital Revolution - Keynote at Mahindra Tech 22
Could you please provide the full reference for Wei et al. PMS. 2018? I cannot find it. Thank you very much.
clap clap***
☀☀☀☀☀☀☀☀
Sir, I truly appreciate the detailed explanations of these concepts. I have read several of your papers and find your work inspiring. I hope to meet you in person one day and receive your blessings. Thank you!
Plz provide the dataset
Excellent book!!! This is a must-have for all people who work in additive manufacturing and advanced manufacturing!👍
Many, many thanks, Dr. Du!
Does this model/solution can be done in any FEA software like Ansys or other ? Please let me know .
I just read this paper a few days ago. Great work 👍
Thank you very much. Tarasankar DebRoy
i would like to download this video into my hippocampus
Thanks professor for sharing it. Very informative for additive manufacturing community.
Very helpful presentation - Thank you
Very interesting and insightful presentation. Thank you for sharing!
Very insightful presentation. Looking forward to more of these
Can you suggest me a site where I can get dataset for this?
very interesting subject Prof DebRoy, thanks
Which visualization tool did you use to show the temperature data at 13:50?
We used Tecplot for this and similar plots. Thank you for your interest. Tarasankar DebRoy
These animations are really awesome! It helps a lot to understand these processes.
Great idea! Industry 4.0!
Very informative talk and wonderful work !
Very great discussion
Great job dear
Great talk, really liked the worked examples. Thanks!
Great talk
Thank you for the insightful talk, Dr. Mukherjee.
Attractive area with an exciting presentation. It would be great for me to join your group and do research on this area.
excellent
Is it possible to predict the tensile strength from numerical analysis and not from experimental?
It's a really fantastic and meaningful job. Many thanks for this vedio, Prof.
Thank you very much
Very interesting presentation, Thank you !
Can u please share any paper of this topic ... Please.
Thank you for sharing
✔ 🅿🆁🅾🅼🅾🆂🅼
I would say that this was a very very crucial and interesting topic for the AM enthusiasts like me. Thank you for sharing.
Subho Bijoya!🙏
Very informative and helpful.
Tara Dada, Tara Dada, korchho tumi ki? Ei dekho na ami kemon hashte shikhe chhi! Tara Dada, Tara Dada, tumi research korte jano? O shob kotha chhere dao na, stew thakle ano!:-)
Thanks!
Thank you for this video
So , by reducing powder size surface roughness can be reduced?
Thank you for your question. Yes, a smaller powder size reduces roughness. Please see our 2018 review in PMS.
@@additivemanufacturing_welding sure.
Easy way to learn. I want to be informed about how to make dri from low grade iron ore without pellitizing or sintering. Is that possible?thanks
This is amazing! Love the channel. Is the semi-analytical heat transfer model that you are employing available by any chance? I am using FEA but it can indeed be slow for real geometries. Regards :)
Dear Professor DebRoy, Thank you and your outstanding research group for sharing this valuable video which clearly indicates the importance of physics-informed machine learning. As a researcher, I am very interested in utilizing this trick to fabricate defect-free parts by reducing the needed variables. Sincerely yours, Reza Motallebi
Many thanks!
The video can be summarized with "good feature engineering"
Thank you.
Nice!
Tara Da, khubh bhalo laghlo. Bhalo aachho to?
I am so happy to hear that you liked it. This video is mainly made by Barnali and Tuhin. We are doing well. I also saw the short video that you created using your iPhone while riding a motorcycle. When you have time and energy, please do write to me. All the best, Tarasankar DebRoy
Dear Professor, Thank you for this short but clear video about the importance of reducing the variables for machine learning. It will surely add value to my research work.
The procedure works because the behavior of many complex engineering systems is often accurately described by a group of variables rather than individual variables. An example is the well-studied problem of the flow of fluid in a pipe. In principle, four variables, i.e., the pipe diameter, average fluid velocity, and the density and viscosity of the fluid can predict if the flow is laminar or turbulent. However, it is well accepted that the nature of the flow, laminar or turbulent, can be predicted by only one variable, the Reynolds number. The reduction in the number of variables can make many problems tractable. All the best in your research. T. DebRoy
fantastic video!, eye-opening indeed, many thanks Prof.
Nice
Thank you very much - Tarasankar DebRoy
Hanzhen harmonic drive gear , strain wave gear , robot joint , over 30 years experience
Thanks for sharing!