Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Author : Deepak Sinwar
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials written by Deepak Sinwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Author : Deepak Sinwar
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials written by Deepak Sinwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Nature Inspired Optimization In Advanced Manufacturing Processes And Systems
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Author : Ganesh M. Kakandikar
language : en
Publisher: CRC Press
Release Date : 2020-12-08
Nature Inspired Optimization In Advanced Manufacturing Processes And Systems written by Ganesh M. Kakandikar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Technology & Engineering categories.
The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.
Computational Intelligence In Manufacturing
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Author : Kaushik Kumar
language : en
Publisher: Woodhead Publishing
Release Date : 2022-05-28
Computational Intelligence In Manufacturing written by Kaushik Kumar and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-28 with Computers categories.
Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management. Includes hot topics such as augmented and virtual reality applications in manufacturing Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system
Computational Intelligence In Remanufacturing
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Author : Xing, Bo
language : en
Publisher: IGI Global
Release Date : 2013-12-31
Computational Intelligence In Remanufacturing written by Xing, Bo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Technology & Engineering categories.
In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organizations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value. Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.
Sustainability In Smart Manufacturing
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Author : Saumya Shah
language : en
Publisher: CRC Press
Release Date : 2024-05-14
Sustainability In Smart Manufacturing written by Saumya Shah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Technology & Engineering categories.
This text highlights the role of artificial intelligence-powered robots and automation systems in revolutionizing digital manufacturing, covers prod-uct design and customization, and discusses various artificial intelligence algorithms for manufacturing processes and supply chain optimization. It further covers the applications of 3D printing and rapid prototyping for low-carbon development. Features: • Discusses microwave hybrid heating based on innovative joining tech-niques, applications of 3D printing, and rapid prototyping for low carbon development • Explains the role of artificial intelligence in digital manufacturing, data security, privacy issues, and defense mechanism • Provides an overview of artificial intelligence-powered robots and automation systems for revolutionizing digital manufacturing, and techniques for soft robotic structures • Presents case studies related to Six Sigma, digital manufacturing, and supply chain manufacturing • Explains artificial intelligence and machine learning-based high-predicted models for accurate data analysis in industry automation It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, production engineering, mechanical engineering, and aerospace engineering.
Sustainable Materials
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Author : Akshansh Mishra
language : en
Publisher: CRC Press
Release Date : 2024-10-25
Sustainable Materials written by Akshansh Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
Computational Intelligence In Sustainable Reliability Engineering
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Author : S. C. Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-16
Computational Intelligence In Sustainable Reliability Engineering written by S. C. Malik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-16 with Technology & Engineering categories.
COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.
Intelligent Manufacturing
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Author : Sunil Pathak
language : en
Publisher: Springer Nature
Release Date : 2020-07-21
Intelligent Manufacturing written by Sunil Pathak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Technology & Engineering categories.
This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted.
Hybrid Modeling And Optimization Of Manufacturing
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Author : Ramón Quiza
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-16
Hybrid Modeling And Optimization Of Manufacturing written by Ramón Quiza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-16 with Computers categories.
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.