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Author: Ganesh M. Kakandikar Publisher: CRC Press ISBN: 1000258467 Category : Technology & Engineering Languages : en Pages : 257
Book Description
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.
Author: Ganesh M. Kakandikar Publisher: CRC Press ISBN: 1000258467 Category : Technology & Engineering Languages : en Pages : 257
Book Description
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.
Author: Ganesh M. Kakandikar Publisher: CRC Press ISBN: 1000258386 Category : Technology & Engineering Languages : en Pages : 262
Book Description
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.
Author: Apoorva Shastri Publisher: ISBN: 9789811577987 Category : Manufacturing processes Languages : en Pages : 128
Book Description
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. .
Author: Ajay Kumar Publisher: Elsevier ISBN: 0323918352 Category : Technology & Engineering Languages : en Pages : 522
Book Description
This edited book is a compilation of scholarly articles on the latest developments in the field of additive manufacturing, discussing nature-inspired and artificial intelligence–aided additive manufactured processes for different materials including biomanufacturing, and their applications, as well as various methods to enhance the characteristics of the materials produced, the efficiency of the manufacturing process itself, as well as optimal ways to develop a product in minimum time. The book explores the advancements in additive manufacturing from prefabrication stage to final product, with real-time defect detection, control, and process efficiency improvement covered. This book will be a great resource for engineers, researchers, and academics involved in this revolutionary and unique field of manufacturing. Discusses modeling of additive manufacturing processes by artificial intelligence Looks at the optimization of designs, technologies, and material fabrication and the use of simulation in additive manufacturing Includes case studies and real-world industrial problems and solutions
Author: Manoj Tiwari Publisher: John Wiley & Sons ISBN: 1118161874 Category : Technology & Engineering Languages : en Pages : 356
Book Description
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.
Author: Vishal Gulati Publisher: John Wiley & Sons ISBN: 1119986443 Category : Technology & Engineering Languages : en Pages : 308
Book Description
HANDBOOK OF FLEXIBLE AND SMART SHEET FORMING TECHNIQUES Single-source guide to innovative sheet forming techniques and applications, featuring contributions from a range of engineering perspectives Handbook of Flexible and Smart Sheet Forming Techniques presents a collection of research on state-of-art techniques developed specifically for flexible and smart sheet forming, with a focus on using analytical strategies and computational, simulation, and AI approaches to develop innovative sheet forming techniques. Bringing together various engineering perspectives, the book emphasizes how these manufacturing techniques intersect with Industry 4.0 technologies for applications in the mechanical, automobile, industrial, aerospace, and medical industries. Research outcomes, illustrations, case studies, and examples are included throughout the text, and are useful for readers who wish to better understand and utilize these new manufacturing technologies. Topics covered in the book include: Concepts, classifications, variants, process cycles, and materials for flexible and smart sheet forming techniques Comparisons between the aforementioned techniques and other conventional sheet forming processes, plus hardware and software requirements for these techniques Parameters, responses, and optimization strategies, mechanics of flexible and smart sheet forming, simulation approaches, and future innovations and directions Recent advancements in the field, including various optimizations like artificial intelligence, Internet of Things, and machine learning techniques Handbook of Flexible and Smart Sheet Forming Techniques is an ideal reference guide for academic researchers and industrial engineers in the fields of incremental sheet forming. It also serves as an excellent comprehensive reference source for university students and practitioners in the mechanical, production, industrial, computer science engineering, medical, and pharmaceutical industries.
Author: Kaushik Kumar Publisher: CRC Press ISBN: 1000396932 Category : Computers Languages : en Pages : 156
Book Description
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.
Author: Sandeep Samantaray Publisher: CRC Press ISBN: 1000386732 Category : Technology & Engineering Languages : en Pages : 310
Book Description
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
Author: Apoorva Shastri Publisher: Springer Nature ISBN: 9811577978 Category : Technology & Engineering Languages : en Pages : 134
Book Description
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.
Author: Nilanjan Dey Publisher: Springer ISBN: 9811392633 Category : Technology & Engineering Languages : en Pages : 275
Book Description
This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.
Author: Ganesh M. Kakandikar
Author: Ganesh M. Kakandikar
Author: Ganesh M. Kakandikar
Author: Apoorva Shastri
Author: Ajay Kumar
Author: Manoj Tiwari
Author: Vishal Gulati
Author: Kaushik Kumar
Author: Sandeep Samantaray
Author: Apoorva Shastri
Author: Nilanjan Dey