Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics. This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing. The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more. Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes. Cover Half Title Title Page Copyright Page Series Page About the Editors Table of Contents Contributors Abbreviations Acknowledgments Preface 1. Introduction to Advanced Manufacturing Processes and Optimization Techniques 2. Modeling of Process Parameters for Electrical Discharge Face Grinding Process 3. An ISM-AHP Integrated Approach to Prioritizing Factors for the Implementation of Green Value Stream Mapping 4. Experimental Investigation on AISI D2 During Machining by Graphite Electrode in Electric Discharge Machine 5. Multi-Objective Process Parameter Optimization in Single Point Incremental Forming of SS-304 Using Box-Behnken Design of Experiment and TOPSIS Optimization 6. Optimization and Process Parameters Study in Single-Point Incremental Forming of Ti Grade 3 Using Taguchi Design of Experiments and Genetic Algorithm Optimization 7. Multi-Objective Process Parameters Optimization in Single-Point Incremental Forming of C110 by Central Composite Design and MOORA Optimization Technique 8. Prediction of Mechanical Properties on Wire Arc Additive Manufacturing 316L Stainless Steel Using Fuzzy Logic 9. Application of Taguchi Coupled with Overall Evolution Criteria in Friction Stir Welding Process for Process Parameters Optimization 10. Recent Developments and Optimization in Additive Manufacturing of Aluminum Alloys 11. Experimental Investigation and Optimization of Metal Cutting Parameters on Surface Roughness During Hard Turning of A-I-S-I 1043 Steel 12. Modeling and Optimization of Deformation Load in Warm Continuous Extrusion Process 13. Optimization of E-Pulse of WEDM Parameters on Ti-10V-2Fe-3Al Alloy by Gray Relational Analysis for Improving the Surface Integrity 14. Optimization of Wire EDM Process Parameters for EN-31 Steel Index
