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Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector 1st Edition 2022 Hardbound at Meripustak

Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector 1st Edition 2022 Hardbound by Patnaik, Amar, Taylor and Francis Ltd

Books from same Author: Patnaik, Amar

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)Patnaik, Amar
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9780367723583
    Pages232
    BindingHardbound
    LanguageEnglish
    Publish YearAugust 2022

    Description

    Taylor and Francis Ltd Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector 1st Edition 2022 Hardbound by Patnaik, Amar

    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. It unveils different models and soft computing techniques applicable in the field of advanced materials and solves the problems to help the industry and scientists to develop sustainable materials for all purposes. The book focuses on the overall well-being of the environment for better sustenance and livelihood. Firstly, the authors discuss the implementation of soft computing in the various areas of engineering materials. They also review the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and effective implementation of sustainable engineering practices. Finally the authors examine the future generation of sustainable and intelligent monitoring techniques beneficial for manufacturing, and cover novel soft computing techniques for the purpose of effective manufacturing processes at par with the standards laid down by the International Standards of Organization (ISO). This book is intended for academics and researchers from all the fields of engineering interested in joining interdisciplinary initiatives on soft computing techniques for advanced materials and manufacturing._x000D_ _x000D_ 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._x000D_



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