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Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032581891 ISBN 13: 9781032581897
Sprache: Englisch
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Hardcover. Zustand: new. Hardcover. This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization, and so forth are covered in detail. The focus of this book is on artificial neural network, finite element analysis, firefly/genetic algorithm, particle swarm, and fuzzy-based techniques, which are the main optimization and modeling techniques.Features of the book:Provides in-depth investigations on prospects of modeling and optimization of modern manufacturing processes.Detailed overview on different evolutionary and bio-inspired optimization techniques and their implementation.Provides step-by-step guidance on how to use machine learning for the enhancement of productivity and quality in modern manufacturing processes.Discusses sustainability and Industry 4.0-based content.Includes case studies and practical examples.This book is aimed at researchers and graduate students in mechanical, manufacturing, production, and industrial engineering. This book covers modeling and optimization of modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization are covered. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032581891 ISBN 13: 9781032581897
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization, and so forth are covered in detail. The focus of this book is on artificial neural network, finite element analysis, firefly/genetic algorithm, particle swarm, and fuzzy-based techniques, which are the main optimization and modeling techniques.Features of the book:Provides in-depth investigations on prospects of modeling and optimization of modern manufacturing processes.Detailed overview on different evolutionary and bio-inspired optimization techniques and their implementation.Provides step-by-step guidance on how to use machine learning for the enhancement of productivity and quality in modern manufacturing processes.Discusses sustainability and Industry 4.0-based content.Includes case studies and practical examples.This book is aimed at researchers and graduate students in mechanical, manufacturing, production, and industrial engineering. This book covers modeling and optimization of modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization are covered. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032581891 ISBN 13: 9781032581897
Sprache: Englisch
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Hardcover. Zustand: new. Hardcover. This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization, and so forth are covered in detail. The focus of this book is on artificial neural network, finite element analysis, firefly/genetic algorithm, particle swarm, and fuzzy-based techniques, which are the main optimization and modeling techniques.Features of the book:Provides in-depth investigations on prospects of modeling and optimization of modern manufacturing processes.Detailed overview on different evolutionary and bio-inspired optimization techniques and their implementation.Provides step-by-step guidance on how to use machine learning for the enhancement of productivity and quality in modern manufacturing processes.Discusses sustainability and Industry 4.0-based content.Includes case studies and practical examples.This book is aimed at researchers and graduate students in mechanical, manufacturing, production, and industrial engineering. This book covers modeling and optimization of modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization are covered. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Zustand: Neu. Process Modeling and Optimization in Modern Manufacturing | Ravi Pratap Singh (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032581897 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers modeling and optimization of modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization are covered.