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020 _a9783030700096
024 7 _a10.1007/978-3-030-70009-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTS155
_b2021 EB
245 1 0 _aFuturistic Trends in Intelligent Manufacturing :
_bOptimization and Intelligence in Manufacturing
_cedited by K. Palanikumar, Elango Natarajan, Ramesh Sengottuvelu, J. Paulo Davim
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (X, 264 páginas)
_b 160 ilustraciones, 143 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aMaterials Forming Machining and Tribology
_x2195-092X
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aChapter 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.
520 3 _aThis 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.
988 _aSpringer_Engineering_2021
650 7 _2embne
_9150644
_aGestión de la producción
_vCongresos y asambleas
700 1 _aPal̲an̲ikkumār, Ka. Ci.
_eeditor literario
_0
_1
_4
_4http://id.loc.gov/vocabulary/relators/edt
_9682586
700 1 _aNatarajan, Elango
_eeditor literario
_0
_1
_4
_4http://id.loc.gov/vocabulary/relators/edt
_9681343
700 1 _aSengottuvelu, Ramesh
_eeditor literario
_0
_1
_4
_4http://id.loc.gov/vocabulary/relators/edt
_9682587
700 1 _aDavim, J. Paulo
_eeditor literario
_0
_1
_4
_4http://id.loc.gov/vocabulary/relators/edt
_997560
776 0 8 _iPrinted edition:
_z9783030700089
776 0 8 _iPrinted edition:
_z9783030700102
776 0 8 _iPrinted edition:
_z9783030700119
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70009-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
_eIG
_zSI