Manufacturing Process Design and Optimization
Title | Manufacturing Process Design and Optimization PDF eBook |
Author | Rhyder |
Publisher | CRC Press |
Total Pages | 356 |
Release | 1997-04-15 |
Genre | Technology & Engineering |
ISBN | 9780824799090 |
This work presents the concepts of process design, problem identification, problem-solving and process optimization. It provides the basic tools needed to increase the consistency and profitability of manufacturing options, stressing the paradigms of improvement and emphasizing the hands-on use of tools furnished. The book introduces basic experimental design principles and avoids complicated statistical formulae.
Optimization of Manufacturing Processes
Title | Optimization of Manufacturing Processes PDF eBook |
Author | Kapil Gupta |
Publisher | Springer |
Total Pages | 237 |
Release | 2019-06-25 |
Genre | Technology & Engineering |
ISBN | 3030196380 |
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.
Data-Driven Optimization of Manufacturing Processes
Title | Data-Driven Optimization of Manufacturing Processes PDF eBook |
Author | Kalita, Kanak |
Publisher | IGI Global |
Total Pages | 298 |
Release | 2020-12-25 |
Genre | Technology & Engineering |
ISBN | 1799872084 |
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
Design and Optimization of Production Lines
Title | Design and Optimization of Production Lines PDF eBook |
Author | Paolo Renna |
Publisher | MDPI |
Total Pages | 96 |
Release | 2021-01-27 |
Genre | Technology & Engineering |
ISBN | 3039439618 |
This book is dedicated to the latest findings on the design and optimization of production lines. The “Fourth Industrial Revolution” (alternatively known as “Industry 4.0”) supports innovative models for energy consumption and fault tolerance in automated lines, and this drives changes in the design and optimization models of production lines. The goal is to collect a series of works that can summarize the latest trends in the field of production line optimization models in order to improve the responsiveness of automated lines to failures, reduce energy consumption and peak electricity demand, and develop other methods to support robust and sustainable production lines.
Precision Product-Process Design and Optimization
Title | Precision Product-Process Design and Optimization PDF eBook |
Author | Sanjay S. Pande |
Publisher | Springer |
Total Pages | 434 |
Release | 2018-04-18 |
Genre | Technology & Engineering |
ISBN | 9811087679 |
This book introduces readers to various tools and techniques for the design of precision, miniature products, assemblies and associated manufacturing processes. In particular, it focuses on precision mechanisms, robotic devices and their control strategies, together with case studies. In the context of manufacturing process, the book highlights micro/nano machining/forming processes using non-conventional energy sources such as lasers, EDM (electro-discharge machining), ECM (electrochemical machining), etc. Techniques for achieving optimum performance in process modeling, simulation and optimization are presented. The applications of various research tools such as FEM (finite element method), neural networks, genetic algorithms, etc. to product-process design and optimization are illustrated through case studies. The state-of-the-art material presented here provides valuable directions for product development and future research work in this area. The contents of this book will be of use to researchers and industry professionals alike.
Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems
Title | Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems PDF eBook |
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.
Advanced Modeling and Optimization of Manufacturing Processes
Title | Advanced Modeling and Optimization of Manufacturing Processes PDF eBook |
Author | R. Venkata Rao |
Publisher | Springer Science & Business Media |
Total Pages | 388 |
Release | 2010-12-01 |
Genre | Technology & Engineering |
ISBN | 0857290150 |
Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.