Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
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Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
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Published by Apple Academic Press Inc., Oakville, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Hardcover. Condition: new. Hardcover. 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. Details ways to optimize various industrial systems and processes using evolutionary methodologies. Covers, statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization with relevant theoretical details presenting a variety of advanced manufacturing processes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Ltd (Sales) Nov 2024, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Add to basketBuch. Condition: Neu. Neuware - Details ways to optimize various industrial systems and processes using evolutionary methodologies. Covers, statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization with relevant theoretical details presenting a variety of advanced manufacturing processes.
Published by Apple Academic Press Inc., Oakville, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Add to basketHardcover. Condition: new. Hardcover. 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. Details ways to optimize various industrial systems and processes using evolutionary methodologies. Covers, statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization with relevant theoretical details presenting a variety of advanced manufacturing processes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Apple Academic Press Inc., Oakville, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Add to basketHardcover. Condition: new. Hardcover. 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. Details ways to optimize various industrial systems and processes using evolutionary methodologies. Covers, statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization with relevant theoretical details presenting a variety of advanced manufacturing processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Apple Academic Pr Inc, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 284 pages. 9.18x6.12x9.21 inches. In Stock.
Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Apple Academic Pr Inc, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 284 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
Published by Apple Academic Press, 2024
ISBN 10: 1774916029 ISBN 13: 9781774916025
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sandip Kunar, PhD, is Assistant Professor of Mechanical Engineering at Aditya Engineering College, India. He has carried out his research work at the Saha Institute of Nuclear Physics, Kolkata, and Raja Ramanna Centre for Advanced Techno.