Technologies for materials modeling play a key role in investigating, comprehending, and eventually forecasting the behavior of materials. This new volume presents a selection of studies on new advances, developments, and trends in industrial manufacturing and materials, exploring the new era of advanced materials, composites, nanomaterials, and advanced machining processes. The book also explores combining modern materials science with computer techniques such as artificial intelligence, machine learning, and other smart technologies.
The volume presents studies that showcase modeling and simulation of materials behavior as essential tools in industrial R&D, which assists in making decisions about the creation or improvement of new goods and production techniques. The volume discusses 2D and 3D computational modeling for new advanced materials, evaluating mechanical and optical properties, fiber-matrix interface in fiber-reinforced polymer (FRP) composites, mechanical and corrosion behavior of certain materials, techniques the management of waste materials, using machine learning for reliability prediction, and more.
Presents studies on advances, developments, and trends in industrial manufacturing and materials, exploring advanced materials, composites, nanomaterials and different advanced machining processes. Chapters combine modern materials science with computer techniques such as AI, ML, and more.
Preface
1. Computational Modeling of 3D Fabrics for Ballistic and Stab
Protective Uses
2. In the New Era of Advanced Materials: A Critical Study
3.
Mechanical and Optical Properties of Side-Emitting Optical Fibers
4. Modeling
of 2D and 3D Woven Structures and Properties
5. A Critical Analysis of the
Use of Machine Learning in the Field of Reliability Prediction
6. Intrinsic
Aspects of Fiber-Matrix Interface in FRP Composites: Special Focus on Utility
7. Mechanical and Corrosion Behavior of Friction Stir Processed AA7075 Hybrid
Surface Composites
8. Role of Slag Viscosity in the Blast Furnace Process of
Pig Iron Production and Its Estimation Index
Debesh Mishra, PhD, is an Associate Professor and Head of the Department of Mechanical Engineering at IES University, Bhopal, India. He has more than 12 years of teaching experience. He has published articles in reputed journals and international conferences and has also contributed chapters to several internationally recognized books. His areas of interest include ergonomics, occupational health and safety, sustainability, supply chain management, and optimization techniques.
Swagatika Mishra, PhD, is an Assistant Professor in the Department of Mechanical Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India. She has published articles in international journals and conferences and has authored book chapters on nontraditional machining and supply chain management. She is handling a seed-funded research project under the Odisha University Research and Innovation Incentivization Plan (OURIIP). Her areas of interest are additive manufacturing, nontraditional machining, production operation management, operation research, supply chain management, etc. With more than 13 years of teaching and research experience, she has guided many MTech and BTech students.
