Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials (Computational and Intelligent Systems)

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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials (Computational and Intelligent Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 196 p.
  • 言語 ENG
  • 商品コード 9781032191102
  • DDC分類 664.0240285

Full Description

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science.




Discusses the development of sustainable materials using metaheuristic approaches.



Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering.



Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process.



Include case studies for industrial optimizations.



Explores the use of computational optimization for reliability and maintainability theory.

The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Contents

Chapter 1
Introduction to Computational Intelligence for sustainable materials
Rohit Mittal, Vibhakar Pathak and Amit Mithal

Chapter 2
Artificial Intelligence and IoT assisted sustainable manufacturing for industry 4.0
Mahin Anup, Gaurav Srivastava, Akruti Sinha, Devika Sapra and Deepak Sinwar

Chapter 3
Image Analysis Approaches for the Fault Detection to the Quality Assurance in Manufacturing Industries
Vijayakumar Ponnusamy and Dilliraj Ekambaram

Chapter 4
Manufacturing Data Performance Prediction and Optimization
Joshi A, Dahlia Sam, Sendilvelan S, Jayanthi K, Kanya N and Ethiraj N

Chapter 5
Data-Driven Optimization on the Workability and Strength Properties of M-30 Grade Concrete using MOORA
A. Anandraj, S. Vijayabaskaran and P.V. Rajesh

Chapter 6
Green Energy Harvesting using High Entropy Thermoelectric Alloys
Arun Raphel, Vivekanandhan. P, Kumaran.S

Chapter 7
Augmented and Virtual Reality Incorporation in the Manufacturing
Industry 4.0
Kiruthiga Devi M, Kanya N, Ethiraj N and Sendilvelan S

Chapter 8
Modeling and Optimization of Process Parameter for Fatigue Strength Improvement by Selective Laser Melting of AlSi10Mg
Mudda Nirish and R Rajendra

Chapter 9
Role of Artificial Intelligence in Apparel Industry in the context of Industry 4.0 and Industry 5.0
Tulasi B and Sudhir Karanam

Chapter 10
Swarm Intelligence-based Automotive Manufacturing
Hiranmoy Samanta and Kamal Golui

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