© Department of Materials Science and Technology, IIT Delhi






Materials aware design of products and processes using integrated computational materials engineering (ICME) tools and digital platforms - an industrial perspective
Gerald Tennyson
Senior Scientist – ICME and PREMAP Research and Innovation Program
Abstract
The transformative potential of the integrated computational materials engineering (ICME) tools and technologies in accelerating discovery, design, development, manufacturing and deployment of novel materials and products, is briefly
reviewed. A practical approach for realization of benefits of ICME through judicious use of computational tools based on physics and machine learning along with the utility and power of digital platforms, such as TCS PREMAP , in actual industrial practice for solving challenging problems facing the industry, is illustrated with the help of select industrial examples.
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
Bio
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
Abstract
The transformative potential of the integrated computational materials engineering (ICME) tools and technologies in accelerating discovery, design, development, manufacturing and deployment of novel materials and products, is briefly
reviewed. A practical approach for realization of benefits of ICME through judicious use of computational tools based on physics and machine learning along with the utility and power of digital platforms, such as TCS PREMAP , in actual industrial practice for solving challenging problems facing the industry, is illustrated with the help of select industrial examples.
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
Bio
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
Abstract
The transformative potential of the integrated computational materials engineering (ICME) tools and technologies in accelerating discovery, design, development, manufacturing and deployment of novel materials and products, is briefly
reviewed. A practical approach for realization of benefits of ICME through judicious use of computational tools based on physics and machine learning along with the utility and power of digital platforms, such as TCS PREMAP , in actual industrial practice for solving challenging problems facing the industry, is illustrated with the help of select industrial examples.
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
Bio
Gerald co-ordinates the research activities in metals and manufacturing at TCS Research and Innovation Labs. He is responsible for conceptualization and utilization of computational methods to develop in-silico frameworks for materials aware design of products and manufacturing processes manufacturing industries. Gerald obtained his PhD (2014) in Metallurgical Engineering from the Indian Institute of Technology Madras, India with a specialization in casting and solidification. He has been with TCS Research and Innovation Labs since 2014.
© Department of Materials Science and Engineering, IIT Delhi