Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector (eBook, PDF)

Redaktion: Patnaik, Amar; Choudhary, Mahavir; Sharma, Ankush; Agarwal, Pankaj; Kukshal, Vikas

• Format: PDF

Produktbeschreibung

This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing advanced new materials.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 25. August 2022
• Englisch
• ISBN-13: 9781000629781
• Artikelnr.: 64288296

Autorenporträt

Dr. Amar Patnaik is Associate Professor in the Department of Mechanical Engineering at Malaviya National Institute of Technology Jaipur, India Dr. Vikas Kukshal is Assistant Professor in the Department of Mechanical Engineering at National Institute of Technology, Uttarakhand, India Pankaj Agarwal is Assistant Professor in the Department of Mechanical Engineering at Amity University Rajasthan, Jaipur, India Dr. Ankush Sharma is Scientific officer in the Centre of Excellence-Composites of the Ahmedabad Textile Industry's Research Association, Ahmedabad, India Dr. Mahavir Choudhary is Director of Vincenzo Solutions Private Limited incubated at MNIT Innovation & Incubation Centre, Jaipur, India

Inhaltsangabe

1. Predictive Maintenance of Industrial Rotating Equipment Using Supervised
Machine-Learning. 2. Predictive approach on creep life of Ni based single
crystal superalloy using Optimized Machine Learning Regression Algorithms.
3. Artificial Neural Networks based real-time modelling while Milling
Aluminium 6061 alloy. 4. Smart Techniques of Microscopic Image Analysis and
Real Time Temperature Dispersal Measurement for Quality Weld Joints. 5.
Industrial Informatics Cache Memory Design for Single Bit Architecture for
IoT Approaches. 6. The Bending Behaviour of Carbon Fiber Reinforced Polymer
Composite for Car Roof Panel using ANSYS 21. 7. Sustainable Spare Parts
Inventory and Cost Control Management using AHP based Multi Criterion
Framework: Perspective to Petroleum & Fertilizer Industries . 8. Simulation
of Deployment of Inflatable Structures through Uniform Pressure Method. 9.
Experimental and Machine Learning Approach to Evaluate the Performance of
Refrigerator and Air Conditioning using TiO2 nano-Particle. 10. Numerical
and Experimental Investigation on Thinning in Single Point Incremental
Sheet Forming (SPIF). 11. Smart Manufacturing: Opportunities and Challenges
overcome by Industry 4.0. 12. Multi-Response Optimization of Process
Parameters in End Milling of Lm24/B4c Metal Matrix Composite Using TOPSIS
Algorithm. 13. Numerical and experimental investigation of additive
manufactured cellular lattice structures. 14. Wear measurement by real time
condition monitoring using ferrography. 15. Design, Modelling and
Comparative Analysis of a Horizontal Axis Wind Turbine.