Nature Inspired Optimization In Advanced Manufacturing Processes And Systems
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Author | : Ganesh M. Kakandikar |
Publisher | : CRC Press |
Total Pages | : 279 |
Release | : 2020-12-08 |
Genre | : Technology & Engineering |
ISBN | : 1000258386 |
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 | : Ravi Kant Mittal |
Publisher | : Elsevier |
Total Pages | : 522 |
Release | : 2022-11-24 |
Genre | : Technology & Engineering |
ISBN | : 0323918352 |
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 | : Ajay Kumar |
Publisher | : Springer Nature |
Total Pages | : 447 |
Release | : |
Genre | : |
ISBN | : 3031682718 |
Author | : Ajay Kumar |
Publisher | : CRC Press |
Total Pages | : 393 |
Release | : 2024-08-05 |
Genre | : Computers |
ISBN | : 104009614X |
With the exponential growth of science and technology, the delivery of dental care has shifted from conventional methods to intelligent techniques. In addition to adapting intelligent techniques, sustainable dental practice is of the utmost importance. Eco-friendly dentistry, sustainable dentistry, or green dentistry are approaches that reduce the environmental impact of dental practice and help safeguard planetary and community well-being. This handbook provides the latest and most comprehensive evidence-based guidance on intelligent and sustainable approaches in dentistry. Handbook of Intelligent and Sustainable Smart Dentistry: Nature and Bio-Inspired Approaches, Processes, Materials, and Manufacturing highlights how Dentistry 4.0 has come to the rescue after COVID-19 and how it has helped in providing needed e-healthcare. This handbook bridges the gap between research and development in the field of smart dentistry for professionals and clinicians. Intelligent materials, equipment, instrumentation, and the latest behavior management techniques and how these techniques provide superior care and treatment to society are explored in detail. The scope of nature-inspired techniques and procession, along with green solutions, are also discussed in this one-of-a-kind handbook. This valuable handbook is a single-stop solution for practitioners, researchers, scholars, students, academicians, and clinicians interested in updating their knowledge on intelligent and sustainable dentistry. The handbook will bestow the readers with not only theoretical knowledge but will equip them with clinical skills as well.
Author | : Vishal Gulati |
Publisher | : John Wiley & Sons |
Total Pages | : 308 |
Release | : 2023-08-04 |
Genre | : Technology & Engineering |
ISBN | : 1119986443 |
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 |
Total Pages | : 157 |
Release | : 2021-06-20 |
Genre | : Computers |
ISBN | : 1000396932 |
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 |
Total Pages | : 310 |
Release | : 2021-05-16 |
Genre | : Technology & Engineering |
ISBN | : 1000386732 |
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 |
Total Pages | : 134 |
Release | : 2020-08-11 |
Genre | : Technology & Engineering |
ISBN | : 9811577978 |
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 | : CRC Press |
Total Pages | : 357 |
Release | : 2024-08-28 |
Genre | : Computers |
ISBN | : 1040096956 |
Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies. Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing–related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available. This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.
Author | : Mellal, Mohamed Arezki |
Publisher | : IGI Global |
Total Pages | : 326 |
Release | : 2021-12-17 |
Genre | : Technology & Engineering |
ISBN | : 1799885631 |
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.