Machining Dynamics And Parameters Process Optimization
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Machining Dynamics and Parameters Process Optimization
Author | : Gorka Urbicain,Daniel Olvera Trejo |
Publsiher | : MDPI |
Total Pages | : 190 |
Release | : 2021-03-19 |
Genre | : Technology & Engineering |
ISBN | : 9783036502946 |
Download Machining Dynamics and Parameters Process Optimization Book in PDF, Epub and Kindle
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
Machining Dynamics and Parameters Process Optimization
Author | : Gorka Urbicain,Daniel Olvera Trejo |
Publsiher | : Unknown |
Total Pages | : 190 |
Release | : 2021 |
Genre | : Electronic Book |
ISBN | : 3036502955 |
Download Machining Dynamics and Parameters Process Optimization Book in PDF, Epub and Kindle
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
Communications Signal Processing and Systems
Author | : Qilian Liang,Wei Wang,Xin Liu,Zhenyu Na,Xiaoxia Li,Baoju Zhang |
Publsiher | : Springer Nature |
Total Pages | : 2070 |
Release | : 2021-06-07 |
Genre | : Technology & Engineering |
ISBN | : 9789811584114 |
Download Communications Signal Processing and Systems Book in PDF, Epub and Kindle
This book brings together papers presented at the 2020 International Conference on Communications, Signal Processing, and Systems, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from communications, signal processing and systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).
Machine Tools Production Systems 2
Author | : Christian Brecher,Manfred Weck |
Publsiher | : Springer Nature |
Total Pages | : 850 |
Release | : 2021-11-08 |
Genre | : Technology & Engineering |
ISBN | : 9783662608630 |
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The first part of this volume provides the user with assistance in the selection and design of important machine and frame components. It also provides help with machine design, calculation and optimization of these components in terms of their static, dynamic and thermoelastic behavior. This includes machine installation, hydraulic systems, transmissions, as well as industrial design and guidelines for machine design. The second part of this volume deals with the metrological investigation and assessment of the entire machine tool or its components with respect to the properties discussed in the first part of this volume. Following an overview of the basic principles of measurement and measuring devices, the procedure for measuring them is described. Acceptance of the machine using test workpieces and the interaction between the machine and the machining process are discussed in detail. The German Machine Tools and Manufacturing Systems Compendium has been completely revised. The previous five-volume series has been condensed into three volumes in the new ninth edition with color technical illustrations throughout. This first English edition is a translation of the German ninth edition.
Machining Dynamics
Author | : Kai Cheng |
Publsiher | : Springer Science & Business Media |
Total Pages | : 341 |
Release | : 2008-10-26 |
Genre | : Technology & Engineering |
ISBN | : 9781846283680 |
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Machining dynamics play an essential role in the performance of the machine tools and machining processes which directly affect the removal rate, workpiece surface quality and dimensional and form accuracy. Machining Dynamics: Fundamentals and Applications will be bought by advanced undergraduate and postgraduate students studying manufacturing engineering and machining technology in addition to manufacturing engineers, production supervisors, planning and application engineers, and designers.
Advanced Modeling and Optimization of Manufacturing Processes
Author | : R. Venkata Rao |
Publsiher | : Springer Science & Business Media |
Total Pages | : 388 |
Release | : 2010-12-01 |
Genre | : Technology & Engineering |
ISBN | : 9780857290151 |
Download Advanced Modeling and Optimization of Manufacturing Processes Book in PDF, Epub and Kindle
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.
Position flexible Modeling Approach for an Efficient Optimization of the Machine Tool Dynamics Considering Local Damping Effects
Author | : Thomas Semm |
Publsiher | : utzverlag GmbH |
Total Pages | : 134 |
Release | : 2021-03-31 |
Genre | : Technology & Engineering |
ISBN | : 9783831649112 |
Download Position flexible Modeling Approach for an Efficient Optimization of the Machine Tool Dynamics Considering Local Damping Effects Book in PDF, Epub and Kindle
Data Driven Optimization of Manufacturing Processes
Author | : Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi |
Publsiher | : IGI Global |
Total Pages | : 298 |
Release | : 2020-12-25 |
Genre | : Technology & Engineering |
ISBN | : 9781799872085 |
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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.