Intelligent Machining
eBook - ePub

Intelligent Machining

Using Computational Intelligence to Optimize Manufacturing Processes

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

Intelligent Machining

Using Computational Intelligence to Optimize Manufacturing Processes

About this book

Manufacturing, as an industry, has been undergoing huge transformation in recent times due to technological development, putting manufacturing at the intersection of traditional techniques and advanced computational intelligence. This new volume offers an understanding of the nuances of this transformation. It provides an exploration of high-strength steel sections and discusses the selection of a CNC lathe using the TOPSIS method. Bibliometric insights into multi-objective optimization and metaheuristic algorithms are also discussed as is the development of high entropy alloys. The book delves into practical applications of computational intelligence, including optimizing investment casting process parameters, enhancing mobile robot navigation performance, and more. The intricate processes behind fabrication are also explored along with a study of wear and thermal behaviors of advanced composite coatings.

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Yes, you can access Intelligent Machining by Kanak Kalita,Ranjan Kumar Ghadai,Xiao-Zhi Gao in PDF and/or ePUB format, as well as other popular books in Education & Software Development. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apple Academic Press
Year
2025
eBook ISBN
9781040812839
Topic
Education
Subtopic
Software Development

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Foreword
  9. Preface
  10. Introduction
  11. 1. Usefulness of High-Strength Steel Sections as Compressive Members
  12. 2. Selection of a CNC Lathe by TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) Method under an MCDM (Multi-Criteria Decision Making) Environment Using MATLAB
  13. 3. Bibliometric Analysis on Multiobjective Optimization and Metaheuristic Algorithm
  14. 4. Development of High Entropy Alloy: A Review
  15. 5 Optimization of Investment Casting Process Parameters of Hydraulic Flange Using Artificial Neural Network Technique
  16. 6. Enhancing Mobile Robot Navigation Performance with a Deep Deterministic Policy-Gradient Algorithm: A Simulation-Based Investigation
  17. 7. Fabrication of Burr-Free Micro Edge on SS-304 using Al2O3 and SiC Abrasives
  18. 8. Wear and Thermal Behaviors of Micro and Nanofiller-Based Solvent-Free Epoxy—Phenalkamine Composite Coatings
  19. 9. Fabrication and Study on Lightweight Aluminum-Based Magnetic Metal
  20. 10. Experimental Investigation and Optimization of Laser Welding of AA2024 with an Artificial Bee Colony Algorithm
  21. 11. Development of Mold Filling Time for Metal Casting Using a Kinetic Energy Correction Factor
  22. 12. Effect of Heat Input and Torch Position on Al 6061 to Coated Steel Dissimilar Joining by CMT for Car Body Structure
  23. 13. Forming of Ceramic Composites: State-of-the-Art and Future Perspectives
  24. Index