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Optimization of Advanced Manufacturing Processes
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Optimization of Advanced Manufacturing Processes

Book Details

Format Hardback or Cased Book
ISBN-10 1774916029
ISBN-13 9781774916025
Publisher Apple Academic Press Inc.
Imprint Apple Academic Press Inc.
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 29th, 2024
Print length 262 Pages
Weight 453 grams
Ksh 27,000.00
Werezi Extended Catalogue 0 in stock

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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.

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.


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