Futuristic trends in intelligent manufacturing : optimization and intelligence in manufacturing / K. Palanikumar, Elango Natarajan, Ramesh Sengottuvelu, J. Paulo Davim, editors.
Palanikumar, K., editor.; Natarajan, Elango, editor.; Sengottuvelu, Ramesh, editor.; Davim, J. Paulo, editor.
2021
TS155 .F87 2021
Available Online

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Title
Futuristic trends in intelligent manufacturing : optimization and intelligence in manufacturing / K. Palanikumar, Elango Natarajan, Ramesh Sengottuvelu, J. Paulo Davim, editors.
ISBN
3030700097 (electronic book)
9783030700096 (electronic bk.)
9783030700089
3030700089
DOI
https://doi.org/10.1007/978-3-030-70009-6
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (268 pages : illustrations
Item Number
10.1007/978-3-030-70009-6 doi
Call Number
TS155 .F87 2021
Dewey Decimal Classification
658.5
Summary
This book shows how Industry 4.0 is a strategic approach for integrating advanced control systems with Internet technology enabling communication between people, products and complex systems. It includes processes such as machining features, machining knowledge, execution control, operation planning, machine tool selection and cutting tool. This book focuses on different articles related to advanced technologies, and their integration to foster Industry 4.0, being useful for researchers as well as industrialists to refer and utilize the information in production control.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from digital title page (viewed on June 15, 2021).
Added Author
Palanikumar, K., editor.
Natarajan, Elango, editor.
Sengottuvelu, Ramesh, editor.
Davim, J. Paulo, editor.
Series
Materials forming, machining and tribology.
Available in Other Form
Futuristic Trends in Intelligent Manufacturing.
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Online Access
Record Appears in
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Chapter 1. Smart Manufacturing- a lead way to sustainable manufacturing
Chapter 2. Smart machining of Titanium alloy using ANN encompassed Prediction model and GA Optimization
Chapter 3. Fuzzy Interference System of Drilling Parameters for Delrin Parts
Chapter 4. Optimization and Effect Analysis of Sustainable Micro Electrochemical Machining using Organic Electrolyte
Chapter 5. Artificial Fish Swarm Algorithm Driven Optimization for Copper-Nano Particles Suspended Sodium Nitrate Electrolyte enabled ECM on Die Tool Steel
Chapter 6. Comparative Analysis between Conventional Method Versus Machine Learning Method for Pipeline Condition Prediction
Chapter 7. Application of Back Propagation Algorithm in Weave Stir Friction Welding a Study
Chapter 8. ANFIS and RSM Modelling Analysis on Surface Roughness of Particleboard Composite Panels in Drilling with HSS Drills
Chapter 9. Machine Learning for Smart Manufacturing for Healthcare Applications
Chapter 10. A comparative analysis of two soft computing methods for sales forecasting in dairy production: a case study
Chapter 11. Augumented reality and Virtual reality towards intelligent manufacturing
Chapter 12. Industrial IoT towards Intelligent Manufacturing
Chapter 13. Cyber-Physical Systems: A Pilot adoption for intelligent Manufacturing
Chapter 14. Intelligent machining of abrasive jet on Carbon Fiber and Glass Fiber Polymeric Composites using modified Nozzle
Chapter 15. Additive Manufacturing of Nylon Parts and Implication study on Change in Infill densities and structures.

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