Ravi Pratap Singh – författare

The text comprehensively focuses on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from their origin to the current advancements. This one-of-a-kind book encapsulates all the features related to the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and their allied processes that will provide comprehensive information. It broadly explains the concepts of employing evolutionary algorithm-based optimization in a broad domain of various material removal processes. Therefore, this book will enable prospective readers to take full advantage of recent findings and advancements in the fields of traditional, advanced, micro, and hybrid machining, among others. Moreover, the simplicity of its writing will keep readers engaged throughout and make it easier for them to understand the advanced topics.The book-Offers a step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processesProvides in-depth analysis of various material removal processes through evolutionary optimizationDetails an overview of different evolutionary optimization techniquesExplores advanced processing of various engineering materials-based case studiesIt further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate students and academic researchers working in the fields of mechanical engineering, aerospace engineering, industrial engineering, manufacturing engineering, and materials science.

The text comprehensively focuses on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from their origin to the current advancements. This one-of-a-kind book encapsulates all the features related to the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and their allied processes that will provide comprehensive information. It broadly explains the concepts of employing evolutionary algorithm-based optimization in a broad domain of various material removal processes. Therefore, this book will enable prospective readers to take full advantage of recent findings and advancements in the fields of traditional, advanced, micro, and hybrid machining, among others. Moreover, the simplicity of its writing will keep readers engaged throughout and make it easier for them to understand the advanced topics.The book-Offers a step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processesProvides in-depth analysis of various material removal processes through evolutionary optimizationDetails an overview of different evolutionary optimization techniquesExplores advanced processing of various engineering materials-based case studiesIt further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate students and academic researchers working in the fields of mechanical engineering, aerospace engineering, industrial engineering, manufacturing engineering, and materials science.

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 new volume explores recent research on advanced technologies and methods in production engineering, emphasizing effective overall process control and enhanced optimization. The authors include real-life case studies on advanced machining methods, traditional manufacturing technologies, advanced composite materials, processing with hybrid manufacturing techniques, various joining processes and their applications, micro-structure analysis, and more.

This new volume offers a variety of perspectives from investigators, industry professionals, stakeholders, and economic strategists that look at new ways of solving optimization problems related to different industrial sectors. Case studies relay how optimization methods deal with both real operative conditions in process industries and in service industries. The volume also explores emerging research areas toward the implementation of optimization algorithms for enhancement of system performance as well as system effectiveness.The book explores the role of optimization methods in engineering applications in industrial and mechanical engineering as well as in the fields of healthcare/medicine, food production, oil, textiles, energy, and agriculture. The volume offers new ways of solving optimization problems related to different industrial sectors, incorporating mathematical formulation for particular design problems and thus aiding the selection of the optimal design among many alternatives. It shows optimization methods that deal with actual operative conditions both in process and in service industries.A unique advantage of this volume is its wide range of topics in different engineering domains using novel mathematical modeling-based optimization methods for solving the real-life problems. The array of examples and case studies of the effective use of optimization in diverse areas of engineering include healthcare analysis and monitoring (fetal phonocardiography), medical device design (3D printing design for protheses), agriculture/farming (monitoring climate conditions), environmental science (waste management), automotive and aeronautic design, industrial manufacturing, solar energy, and more.Key features:Presents case studies on optimization problems related to industryDiscusses case studies on operations management practices optimizationProvides an overview of design optimizationHighlights case studies on process optimizationAssesses different techniques for handling engineering problemsThis valuable book will be useful for researchers, scientists, faculty, and students involved or interested in the field of optimization engineering in industrial design.Indexed in SCOPUS.

This new volume examines important research on advancements in materials and manufacturing processes, focusing on characterization and applications and defining solutions to current issues as well as for inspiration for future innovation. It looks at areas including material characterization using modern technologies, process characterization, and more. The diverse selection of topics includes additive manufacturing for medical implants and medical image processing, characterization of composite materials using natural and synthetic fibers, 3D and 4D printing technologies and applications, biodegradable packaging materials, manufacturing and processing of materials for novel drug delivery systems, and more.

For the advancement of technology, Department of Industrial and Production Engineering under the aegis of NIT Jalandhar is organizing an “International Conference on Industrial and Manufacturing Systems” (CIMS-2020) from 26th -28th June, 2020.

For the advancement of technology, Department of Industrial and Production Engineering under the aegis of NIT Jalandhar is organizing an “International Conference on Industrial and Manufacturing Systems” (CIMS-2020) from 26th -28th June, 2020.

This book presents select proceedings of the 2nd International Conference on Industrial and Manufacturing Systems (CIMS 2021) and discusses the applications of soft computing, modelling and optimization practices in industrial and manufacturing systems.