Sustainable Materials: The Role of Artificial Intelligence and Machine Learning

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Akshansh Mishra (Politecnico di Milano, Italy) Vijaykumar S Jatti (Symbiosis International (Deemed) Uni, India)

Sustainable Materials

The Role of Artificial Intelligence and Machine Learning

Akshansh Mishra (Politecnico di Milano, Italy), Vijaykumar S Jatti (Symbiosis International (Deemed) Uni, India), Shivangi Paliwal (University of Kentucky, USA)

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English

CRC Press
25 October 2024

Sustainability; Plastics & polymers technology; Mechanical engineering; Automatic control engineering; Artificial intelligence

The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.

Edited by: Akshansh Mishra (Politecnico di Milano Italy), Vijaykumar S Jatti (Symbiosis International (Deemed) Uni, India), Shivangi Paliwal (University of Kentucky, USA)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 560g
ISBN: 9781032568522
ISBN 10: 1032568526
Pages: 208
Publication Date: 25 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Akshansh Mishra is pursuing a Master's in Materials Engineering and Nanotechnology at Politecnico Di Milano, Milan, Italy. He works on the application of Artificial Intelligence-based algorithms in the Manufacturing and Materials sectors. His main research interests are Cognitive Computing, Advanced Manufacturing, Explainable Artificial Intelligence (XAI), Machine Learning, Natural Language Processing, Nature-based optimization algorithms, and Composite Materials. Vijaykumar S Jatti is an Associate Professor at Symbiosis Institute of Technology, Pune, India. His main research interests are Machine Learning, Mechanical Design, Material Science, Conventional & Non-Conventional Machining Processes, Additive Manufacturing, and Bio-Materials (Metals, Ceramics and Polymers). He has several publications in WoS and Scopus indexed journals. He has received 18 awards in academics & research works. Shivangi Paliwal is pursuing a Ph.D. in Mechanical Engineering, at the University of Kentucky, USA. Before joining the University of Kentucky, she worked as a Junior Research Fellow at the Indian Institute of Technology, Mumbai, India. Her research work integrates experimental and numerical simulation techniques to leverage the potential of additive manufacturing. Her research work reviews sustainability through the use of non-traditional machining and surface engineering.