Process modeling and optimization in modern manufacturing
This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeli...
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| Other Authors | , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Boca Raton FL
CRC Press,
2025.
|
| Edition | First edition. |
| Series | Advanced materials processing and manufacturing.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781032661858 9781040438381 9781040438404 9781032581897 |
| Physical Description | 1 online zdroj (210 stran) : ilustrace. |
Cover
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| 245 | 0 | 0 | |a Process modeling and optimization in modern manufacturing / |c edited by Ravi Pratap Singh, Narendra Kumar, Vishal Francis, and Ankur Jaiswal. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton FL |b CRC Press, |c 2025. | |
| 300 | |a 1 online zdroj (210 stran) : |b ilustrace. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
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| 490 | 1 | |a Advanced materials processing and manufacturing | |
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| 505 | 0 | |a Chapter 1. Introduction to Process Modeling and Optimization in Modern Manufacturing: An OverviewChapter 2. Recent Advances in the Applications of Machine Learning Optimization Techniques in Modern and Hybrid Manufacturing for Quality, Sustainability, and Productivity: Some Case Studies.Chapter 3. Modelling and Optimization of Abrasive Water Jet Machining Process on Surface Quality of green composite using Nature-Inspired Techniques methods: Comparative Study of TLBO, ABC and PSO Chapter 4. Machine Learning-Enabled Gesture Recognition in 3D Printed Robotic Prostheses: Advances in Electromyography ControlChapter 5. Investigation of the AISI 1040 Steel Machining Characteristics with the Application of Cutting Fluid (Corn oil+ Al2O3) using the Taguchi-TOPSIS (T-T) ApproachChapter 6. Optimization of Electro Discharge Machining Parameters for Additively Manufactured Composite (AlSi10Mg + Niobium Carbide (NbC)) Using Random Forest AlgorithmChapter 7. Investigation, Modeling and Advanced Optimization of Additive Manufacturing Characteristics: A Study on Evolutionary MethodsChapter 8. Analysis for development of High-performance polymer nanocomposites for FDM based Additive ManufacturingChapter 9. Machine Learning based Optimization for FDM Printed Poly Lactic Acid partsChapter 10. Experimental Investigation on Cutting Rate in µECDM of Si-based Pyrax Glass: Evolutionary Parametric Optimization and Surface MorphologyChapter 11. Micro Drilling in Cu-based Shape Memory Alloy via µ-ECM: Influence of Input Variables and GWO, PSO based Advanced Optimization | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a This book covers modeling and optimization of various modern manufacturing processes such as advanced machining, hybrid manufacturing, and additive manufacturing including related case studies in these domains. Various areas like smart manufacturing, hybrid manufacturing, 3D printing, process modeling and characterization, optimization, and so forth are covered in detail. The focus of this book is on artificial neural network, finite element analysis, firefly/genetic algorithm, particle swarm, and fuzzy-based techniques, which are the main optimization and modeling techniques.Features of the book: Provides in-depth investigations on prospects of modeling and optimization of modern manufacturing processes. Detailed overview on different evolutionary and bio-inspired optimization techniques and their implementation. Provides step-by-step guidance on how to use machine learning for the enhancement of productivity and quality in modern manufacturing processes. Discusses sustainability and Industry 4.0-based content. Includes case studies and practical examples. This book is aimed at researchers and graduate students in mechanical, manufacturing, production, and industrial engineering. | ||
| 588 | 0 | |a Online resource; title from pdf information screen (Taylor and Francis, viewed October 15, 2025) | |
| 650 | 0 | |a Manufacturing processes. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Pratap Singh, Ravi, |e editor. | |
| 700 | 1 | |a Kumar, Narendra, |e editor. | |
| 700 | 1 | |a Francis, Vishal, |e editor. | |
| 700 | 1 | |a Jaiswal, Ankur, |e editor. | |
| 830 | 0 | |a Advanced materials processing and manufacturing. | |
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