Socio Inspired Optimization Methods For Advanced Manufacturing Processes
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Socio-Inspired Optimization Methods for Advanced Manufacturing Processes by Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarni Pdf
This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.
Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems by Ganesh M. Kakandikar,Dinesh G. Thakur Pdf
Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems Subject Guide: Engineering—Industrial and Manufacturing 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 the 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.
Optimization of Manufacturing Processes by Kapil Gupta,Munish Kumar Gupta Pdf
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability by Cabrera, Francisco Mata,Hanafi, Issam Pdf
Academic scholars engaged in machining polymer matrix composites face challenges due to material property variations, complex structures, and the pursuit of high surface quality. The lack of comprehensive resources further hampers their ability to develop efficient and sustainable machining techniques. Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability, edited by Francisco Mata Cabrera and Issam Hanafi, offers a comprehensive solution. This book provides practical knowledge on tool selection, cutting parameters, surface quality, and tool wear, empowering scholars to overcome the intricacies of machining these materials. With insights into turning, milling, drilling, grinding, and advancements in high-speed and ultrasonic machining, the book equips scholars with a comprehensive toolbox for optimizing their machining techniques. The book goes beyond technique to address environmental impact, covering topics such as energy consumption, waste generation, and emissions. Through case studies, it offers practical applications and valuable insights into the challenges and opportunities of machining polymer matrix composites. This comprehensive solution, encompassing knowledge, practical guidance, and sustainability considerations, empowers academic scholars to achieve high-quality machined components while minimizing their environmental footprint. Regardless of their expertise level, whether beginners seeking fundamental understanding or experienced professionals in need of advanced insights, scholars will find this book an indispensable resource. By covering tool selection, cutting parameters, surface quality, and environmental impact, Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability equips scholars with the necessary tools to excel in machining polymer matrix composites.
Evolutionary Computing in Advanced Manufacturing by Manoj Tiwari,Jenny A. Harding Pdf
This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years researchers and practitioners have proposed and developed new strands of advanced, intelligent techniques and methodologies. Evolutionary computing approaches are introduced in the context of a wide range of manufacturing activities, and through the examination of practical problems and their solutions, readers will gain confidence to apply these powerful computing solutions. The initial chapters introduce and discuss the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully implement their own solutions to real life advanced manufacturing problems. In the later chapters, modified and improved versions of evolutionary algorithms are discussed. The book concludes with appendices which provide general descriptions of several evolutionary algorithms.
Advanced Manufacturing Methods by Catalin I. Pruncu,Jamal Zbitou Pdf
Advanced Manufacturing Methods: Smart Processes and Modeling for Optimization describes developments in advanced manufacturing processes and applications considering typical and advanced materials. It helps readers implement manufacturing 4.0 production techniques and highlights why a consolidated source and robust platform are necessary for implementing machine learning processes in the manufacturing sector. Discusses the industrial impact of manufacturing process Provides novel fundamental manufacturing solutions Presents the various aspects of applications in advanced materials in correlation of physical properties with macro-, micro- and nanostructures Reviews both classical and artificial manufacturing when applied with typical and novel innovative materials Aimed at those working in manufacturing, mechanical and optimization of manufacturing processes, this work provides readers with a comprehensive view of current development in, and applications of, advanced manufacturing.
Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems by Ganesh M. Kakandikar,Dinesh G. Thakur Pdf
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.
Intelligent Systems and Applications by Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata Pdf
This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry.
Modeling and Optimization of Advanced Manufacturing Processes by Sumit Bhowmik,Jagadish,Kapil Gupta Pdf
This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.
Handbook of Research on Manufacturing Process Modeling and Optimization Strategies by Das, Raja,Pradhan, Mohan Pdf
Recent improvements in business process strategies have allowed more opportunities to attain greater developmental performances. This has led to higher success in day-to-day production and overall competitive advantage. The Handbook of Research on Manufacturing Process Modeling and Optimization Strategies is a pivotal reference source for the latest research on the various manufacturing methodologies and highlights the best optimization approaches to achieve boosted process performance. Featuring extensive coverage on relevant areas such as genetic algorithms, fuzzy set theory, and soft computing techniques, this publication is an ideal resource for researchers, practitioners, academicians, designers, manufacturing engineers, and institutions involved in design and manufacturing projects.
Computational Methods for Optimizing Manufacturing Technology: Models and Techniques by Davim, J. Paulo Pdf
"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
Configurable Intelligent Optimization Algorithm by Fei Tao,Lin Zhang,Yuanjun Laili Pdf
Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
Effective Resource Management in Manufacturing Systems by Massimiliano Caramia,Paolo Dell'Olmo Pdf
Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns. This book will be bought by postgraduate students of business, engineering and computer science as well as researchers in these fields. It will also be of interest to practitioners in manufacturing systems and operations managers in industry.
Constraint Handling in Cohort Intelligence Algorithm by Ishaan R. Kale,Anand J. Kulkarni Pdf
Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.
