TAMIDS DTL Seminar: Applications of Computational Tools in Metal Additive Manufacturing

October 1st, 2024

2:00 pm – 3:00 pm CT

Speaker: Tuhin Mukherjee, Assistant Professor, Department of Mechanical Engineering, Iowa State University

Faculty Host: Jian Tao, PVFA/TAMIDS

Abstract: Improving the quality of additively manufactured metallic parts, reducing costs, and expanding their market penetration requires addressing issues like cracks, porosity, lack of fusion, distortion, and surface roughness. In addition, it is important to control the microstructure and resulting mechanical properties. Achieving these goals cannot rely solely on time-consuming and expensive experimental trials, as they involve numerous variables within a wide parameter range. The use of computational tools such as multi-physics models, machine learning, deep learning, and digital twins can be an alternative. Mechanistic models provide scientific understanding of the intricate physical processes governing the development of microstructures, properties, and defects. Artificial intelligence tools like machine learning and deep learning can automate various stages of the manufacturing process, including monitoring, defect identification, sensing, and control. Additionally, they can help in selecting the most suitable processing conditions to enhance the structure and properties of the material. Digital twins reduce the dependence on human intervention, significantly enhances process efficiency, increases productivity, and improves the part quality. Furthermore, it leads to reduced waste in terms of materials and energy, ultimately cutting down costs. This presentation aims to provide several recent examples of the applications of these computational tools in metal additive manufacturing.

Biography: Tuhin Mukherjee is an Assistant Professor of Mechanical Engineering at Iowa State University, USA. Previously, he was a Postdoctoral Researcher in the Department of Materials Science and Engineering at Pennsylvania State University, USA from where he also got his Ph.D. He is the author of many papers in leading journals including Nature Reviews Materials, Nature Materials, and Progress in Materials Science. He authored an edited book entitled “The Science and Technology of 3D Printing” (MDPI, 2021) and a textbook on “Theory and Practice of Additive Manufacturing” (Wiley, 2023). He served as a Guest Editor for the journals “Computational Materials Science”, “Materials”, and “Science and Technology of Welding and Joining”. He is an Editorial Board Member of the journals “International Journal of AI for Materials and Design”, “Science and Technology of Welding and Joining” and “Welding Journal”. He was awarded the American Welding Society Research fellowship and the Robert E. Newnham Research Excellence Award by Pennsylvania State University.