000			05167nam a22002537a 4500
005			20250522175615.0
008			250522b |||||||| |||| 00| 0 eng d
020			_a9781774916025
082			_a670.4275 _bKUN
245			_aOptimization of advanced manufacturing processes
260			_bApple Academic Press _aPalm Bay _c2025
300			_axxii, 262 p.
365			_aGBP _b150.00
490			_aFrontiers of Mechanical and Industrial Engineering
500			_aTable of Contents: 1. Introduction to Advanced Manufacturing Processes and Optimization Techniques Sandip Kunar, Ashok Kumar Dargar, Sreenivasa Reddy Medapati, Nabankur Mandal, Prasenjit Chatterjee, and Norfazillah Talib 2. Modeling of Process Parameters for Electrical Discharge Face Grinding Process Akshat Srivastava Kulshrestha, Deepak Rajendra Unune, Ashok Kumar Dargar, Sandip Kunar, and Prasenjit Chatterjee 3. An ISM-AHP Integrated Approach to Prioritizing Factors for the Implementation of Green Value Stream Mapping Amber Batwara, Madav Mittle, Vikram Sharma, and Mohit Makkar 4. Experimental Investigation on AISI D2 during Machining by Graphite Electrode in Electric Discharge Machine Pritam Pain, Gairik Kumar Bose, and Goutam Kumar Bose 5. Multi-Objective Process Parameter Optimization in Single Point Incremental Forming of SS-304 Using Box-Behnken Design of Experiment and TOPSIS Optimization S. Pratheesh Kumar and S. Nandhagopal 6. Optimization and Process Parameters Study in Single Point Incremental Forming of Ti Grade 3 Using Taguchi Design of Experiments and Genetic Algorithm Optimization S. Pratheesh Kumar and P. Mohit Akash 7. Multi-Objective Process Parameters Optimization in Single-Point Incremental Forming of C110 By Central Composite Design and MOORA Optimization Technique S. Pratheesh Kumar, U. Akash, and S. Akash 8. Prediction of Mechanical Properties on Wire Arc Additive Manufacturing 316l Stainless Steel Using Fuzzy Logic M. Sivakumar, J. Jerald, N. S. Balaji, G. Rajesh Kannan, S. Shriram, and S. Jayanth 9. Application of Taguchi Coupled with Overall Evolution Criteria in Friction Stir Welding Process for Process Parameters Optimization B. Singaravel, T. Niranjan, K. Deepa, Ch. Anusha, and M. Monish Reddy 10. Recent Developments and Optimization in Additive Manufacturing of Aluminum Alloys Varnit Jain, Prerona Saha, Abhishek Ghosh, Arkajit Ghosh, Kalyan Das, Uttam Kumar Murmu, and Manojit Ghosh 11. Experimental Investigation and Optimization of Metal-Cutting Parameters on Surface Roughness During Hard Turning of A-I-S-I 1043 Steel Abdisa Sisay, Habtamu Beri, Moera Gutu, Devendra Kumar Sinha, Birhane Assefa Gemeda, and Ram Sewak Singh 12. Modeling and Optimization of Deformation Load in Warm Continuous Extrusion Process Tariku Desta, Devendra Kumar Sinha, Perumalla Janaki Ramulu, Birhane Assefa Gemeda, and Ram Sewak Singh 13. Optimization of E-Pulse of WEDM Parameters on Ti-10V-2Fe-3Al Alloy by Gray Relational Analysis for Improving the Surface Integrity K. Parameshwar, Srinivasa Rao Nandam, and D. G. Thakur 14. Optimization of Wire EDM Process Parameters for EN-31 Steel Smrutiranjan Biswal, S. Tripathy, and D. K. Tripathy
520			_aOptimization 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. (https://www.routledge.com/Optimization-of-Advanced-Manufacturing-Processes/Kunar-Chatterjee-Reddy/p/book/9781774916025)
650			_aManufacturing processes _92427
650			_aAdditive manufacturing _921064
650			_aLean lanufacturing _924396
700			_aKunar, Sandip [Editor] _924397
700			_aChatterjee, Prasenjit [Editor] _924398
700			_aReddy, M. Sreenivas [Editor] _924399
942			_cBK _2ddc
999			_c10039 _d10039