Soft Modeling In Industrial Manufacturing
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Soft Modeling In Industrial Manufacturing
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Author : Przemyslaw Grzegorzewski
language : en
Publisher: Springer
Release Date : 2018-12-11
Soft Modeling In Industrial Manufacturing written by Przemyslaw Grzegorzewski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Technology & Engineering categories.
This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.
Soft Computing In Smart Manufacturing
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Author : Tatjana Sibalija
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-06
Soft Computing In Smart Manufacturing written by Tatjana Sibalija and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.
Advances In Modelling And Optimization Of Manufacturing And Industrial Systems
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Author : Ravi Pratap Singh
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Advances In Modelling And Optimization Of Manufacturing And Industrial Systems written by Ravi Pratap Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Technology & Engineering categories.
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. Various topics covered in this book include advanced machining methods and performances, industrial operations, processing with hybrid manufacturing techniques, fabrication and developments in micro-machining and its applications, practical issues in supply chain, micro-structure analysis, additive manufacturing processes, reliability and system analysis, material science and metallurgical behaviour analysis, product design and development, etc. The book will be a valuable reference for beginners, researchers, and professionals interested in the modelling, optimization and soft computing related aspects of industrial and production engineering and its allied domains.
Modeling Simulation And Control Of Flexible Manufacturing Systems
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Author :
language : en
Publisher:
Release Date :
Modeling Simulation And Control Of Flexible Manufacturing Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Design Of Experiments In Production Engineering
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Author : J. Paulo Davim
language : en
Publisher: Springer
Release Date : 2015-11-06
Design Of Experiments In Production Engineering written by J. Paulo Davim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Technology & Engineering categories.
This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.
Modeling Of Metal Forming And Machining Processes
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Author : Prakash Mahadeo Dixit
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-14
Modeling Of Metal Forming And Machining Processes written by Prakash Mahadeo Dixit 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 2008-05-14 with Technology & Engineering categories.
Written by authorities in the subject, this book provides a complete treatment of metal forming and machining by using the computational techniques FEM, fuzzy set theory and neural networks as modelling tools. The algorithms and solved examples included make this book of value to postgraduates, senior undergraduates, and lecturers and researchers in these fields. Research and development engineers and consultants for the manufacturing industry will also find it of use.
Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Author : Chao Shang
language : en
Publisher: Springer
Release Date : 2018-02-22
Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research written by Chao Shang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Technology & Engineering categories.
This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
Modeling Manufacturing Systems
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Author : Paolo Brandimarte
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Modeling Manufacturing Systems written by Paolo Brandimarte 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 2013-03-09 with Technology & Engineering categories.
Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.
Modeling And Optimization In Manufacturing
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Author : Catalin I. Pruncu
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-30
Modeling And Optimization In Manufacturing written by Catalin I. Pruncu 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 2021-03-30 with Technology & Engineering categories.
Discover the state-of-the-art in multiscale modeling and optimization in manufacturing from two leading voices in the field Modeling and Optimization in Manufacturing delivers a comprehensive approach to various manufacturing processes and shows readers how multiscale modeling and optimization processes help improve upon them. The book elaborates on the foundations and applications of computational modeling and optimization processes, as well as recent developments in the field. It offers discussions of manufacturing processes, including forming, machining, casting, joining, coating, and additive manufacturing, and how computer simulations have influenced their development. Examples for each category of manufacturing are provided in the text, and industrial applications are described for the reader. The distinguished authors also provide an insightful perspective on likely future trends and developments in manufacturing modeling and optimization, including the use of large materials databases and machine learning. Readers will also benefit from the inclusion of: A thorough introduction to the origins of manufacturing, the history of traditional and advanced manufacturing, and recent progress in manufacturing An exploration of advanced manufacturing and the environmental impact and significance of manufacturing Practical discussions of the economic importance of advanced manufacturing An examination of the sustainability of advanced manufacturing, and developing and future trends in manufacturing Perfect for materials scientists, mechanical engineers, and process engineers, Modeling and Optimization in Manufacturing will also earn a place in the libraries of engineering scientists in industries seeking a one-stop reference on multiscale modeling and optimization in manufacturing.
Soft Computing And Fractal Theory For Intelligent Manufacturing
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Author : Oscar Castillo
language : en
Publisher: Physica
Release Date : 2012-08-11
Soft Computing And Fractal Theory For Intelligent Manufacturing written by Oscar Castillo and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-11 with Computers categories.
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.