Welding and Cutting Case Studies with Supervised Machine Learning

✍ Scribed by S. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg

Publisher: Springer Singapore;Springer
Year: 2020
Tongue: English
Leaves: 256
Series: Engineering Applications of Computational Methods 1
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.

✦ Table of Contents

Front Matter ....Pages i-ix
Supervised Machine Learning in Magnetically Impelled ARC BUTT Welding (MIAB) (S. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg)....Pages 1-56
Supervised Machine Learning in Cold Metal Transfer (CMT) (S. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg)....Pages 57-118
Supervised Machine Learning in Friction Stir Welding (FSW) (S. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg)....Pages 119-185
Supervised Machine Learning in Wire Cut Electric Discharge Machining (WEDM) (S. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg)....Pages 187-245
Back Matter ....Pages 247-249

✦ Subjects

Engineering; Characterization and Evaluation of Materials

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