Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector
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Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector
Sharma, Ankush; Patnaik, Amar; Agarwal, Pankaj; Choudhary, Mahavir; Kukshal, Vikas
Taylor & Francis Ltd
07/2024
232
Mole
9780367723606
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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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Artificial Neural Network;Manufacturing Technologies;Advanced Material;Tribology;Optimization;Material Characterization;Nature Inspired Algorithm;Composite Material;Artificial Intelligence;End Milling Operation;Weld Bead Geometry;Condition Monitoring;Cutting Speed;TOPSIS Algorithm;Ni Based Single Crystal Superalloy;Spare Parts Inventory;Spare Parts Inventory Control;Material Removal Rate;Creep Life;PVC Foam;Lattice Misfit;FEA Simulation;Vcr System;Support Vector Regression;Wear Particles;Power Consumption;FE Simulation Result;MMCs;Static Random Access Memory Cell;GLCM;Creep Rupture Life;Sense Amplifier;Conical Frustum;AHP Process
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Artificial Neural Network;Manufacturing Technologies;Advanced Material;Tribology;Optimization;Material Characterization;Nature Inspired Algorithm;Composite Material;Artificial Intelligence;End Milling Operation;Weld Bead Geometry;Condition Monitoring;Cutting Speed;TOPSIS Algorithm;Ni Based Single Crystal Superalloy;Spare Parts Inventory;Spare Parts Inventory Control;Material Removal Rate;Creep Life;PVC Foam;Lattice Misfit;FEA Simulation;Vcr System;Support Vector Regression;Wear Particles;Power Consumption;FE Simulation Result;MMCs;Static Random Access Memory Cell;GLCM;Creep Rupture Life;Sense Amplifier;Conical Frustum;AHP Process
