Futuristic Trends in Intelligent Manufacturing

Futuristic Trends in Intelligent Manufacturing

Optimization and Intelligence in Manufacturing

Sengottuvelu, Ramesh; Natarajan, Elango; Palanikumar, K.; Davim, J. Paulo

Springer Nature Switzerland AG

06/2022

264

Mole

Inglês

9783030700119

15 a 20 dias

427

Descrição não disponível.
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.
Intelligent manufacturing;Optimization;Smart manufacturing;Industry 4.0;IOT