Computational Intelligence in Manufacturing
eBook - ePub

Computational Intelligence in Manufacturing

  1. 224 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence in Manufacturing

About this book

Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management. - Includes hot topics such as augmented and virtual reality applications in manufacturing - Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling - Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system

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Yes, you can access Computational Intelligence in Manufacturing by Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim,J. Paulo Davim in PDF and/or ePUB format, as well as other popular books in Computer Science & CAD-CAM. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Woodhead Publishing
Year
2022
Print ISBN
9780323918541
eBook ISBN
9780323918558
Topic
Computer Science
Subtopic
CAD-CAM
Index
Computer Science

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. List of Illustrations
  8. List of Tables
  9. Chapter One : Multiverse multiobjective optimization of thinning and wrinkling in automotive connector
  10. Chapter Two : An approach for machining curve cooling hole in plastic injection mold
  11. Chapter Three : Experimental and numerical investigation of deformation behavior of dual phase steel at elevated temperatures using various constitutive models and ANN
  12. Chapter Four : Optimization of thermal efficiency of Scheffler solar concentrator receiver using slime mold algorithm
  13. Chapter Five : Study on drilling behavior of polymer nanocomposites modified by carbon nanomaterial with fiber: A case study
  14. Chapter Six : Machining performance analysis of micro-ED milling process of titanium alloy (Ti-6Al-4V)
  15. Chapter Seven : Computational analysis of provisional study on white layer properties by EDM vs. WEDM of aluminum metal matrix composites
  16. Chapter Eight : Scope of industry 4.0 components in manufacturing SMEs
  17. Chapter Nine : Process parameter optimization in manufacturing of root canal device using gorilla troops optimization algorithm
  18. Chapter Ten : A comprehensive review of agriculture irrigation using artificial intelligence for crop production
  19. Index
  20. A