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020 _a9783030700096
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024 7 _a10.1007/978-3-030-70009-6
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072 7 _aTGP
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072 7 _aTEC009060
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072 7 _aTGP
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082 0 4 _a670
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245 1 0 _aFuturistic Trends in Intelligent Manufacturing
_h[electronic resource] :
_bOptimization and Intelligence in Manufacturing /
_cedited by K. Palanikumar, Elango Natarajan, Ramesh Sengottuvelu, J. Paulo Davim.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 264 p. 160 illus., 143 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aMaterials Forming, Machining and Tribology,
_x2195-092X
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 _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.
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 1 4 _aIndustrial and Production Engineering.
_931644
700 1 _aPalanikumar, K.
_eeditor.
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700 1 _aNatarajan, Elango.
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700 1 _aSengottuvelu, Ramesh.
_eeditor.
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_950271
700 1 _aDavim, J. Paulo.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_914567
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030700089
776 0 8 _iPrinted edition:
_z9783030700102
776 0 8 _iPrinted edition:
_z9783030700119
830 0 _aMaterials Forming, Machining and Tribology,
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_950273
856 4 0 _uhttps://doi.org/10.1007/978-3-030-70009-6
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