001437140 000__ 04643cam\a2200613\i\4500
001437140 001__ 1437140
001437140 003__ OCoLC
001437140 005__ 20230309004133.0
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001437140 008__ 210605s2021\\\\sz\a\\\\ob\\\\101\0\eng\d
001437140 019__ $$a1253476474$$a1257083749
001437140 020__ $$a3030700097$$q(electronic book)
001437140 020__ $$a9783030700096$$q(electronic bk.)
001437140 020__ $$z9783030700089
001437140 020__ $$z3030700089
001437140 0247_ $$a10.1007/978-3-030-70009-6$$2doi
001437140 035__ $$aSP(OCoLC)1255228261
001437140 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDXIT$$dOCLCO$$dGW5XE$$dYDX$$dOCLCF$$dN$T$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437140 049__ $$aISEA
001437140 050_4 $$aTS155$$b.F87 2021
001437140 08204 $$a658.5$$223
001437140 24500 $$aFuturistic trends in intelligent manufacturing :$$boptimization and intelligence in manufacturing /$$cK. Palanikumar, Elango Natarajan, Ramesh Sengottuvelu, J. Paulo Davim, editors.
001437140 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001437140 300__ $$a1 online resource (268 pages :$$billustrations
001437140 336__ $$atext$$btxt$$2rdacontent
001437140 337__ $$acomputer$$bc$$2rdamedia
001437140 338__ $$aonline resource$$bcr$$2rdacarrier
001437140 4901_ $$aMaterials Forming, Machining and Tribology
001437140 504__ $$aIncludes bibliographical references and index.
001437140 5050_ $$aChapter 1. Smart Manufacturing- a lead way to sustainable manufacturing -- Chapter 2. Smart machining of Titanium alloy using ANN encompassed Prediction model and GA Optimization -- Chapter 3. Fuzzy Interference System of Drilling Parameters for Delrin Parts -- Chapter 4. Optimization and Effect Analysis of Sustainable Micro Electrochemical Machining using Organic Electrolyte -- Chapter 5. Artificial Fish Swarm Algorithm Driven Optimization for Copper-Nano Particles Suspended Sodium Nitrate Electrolyte enabled ECM on Die Tool Steel -- Chapter 6. Comparative Analysis between Conventional Method Versus Machine Learning Method for Pipeline Condition Prediction -- Chapter 7. Application of Back Propagation Algorithm in Weave Stir Friction Welding a Study -- Chapter 8. ANFIS and RSM Modelling Analysis on Surface Roughness of Particleboard Composite Panels in Drilling with HSS Drills -- Chapter 9. Machine Learning for Smart Manufacturing for Healthcare Applications -- Chapter 10. A comparative analysis of two soft computing methods for sales forecasting in dairy production: a case study -- Chapter 11. Augumented reality and Virtual reality towards intelligent manufacturing -- Chapter 12. Industrial IoT towards Intelligent Manufacturing -- Chapter 13. Cyber-Physical Systems: A Pilot adoption for intelligent Manufacturing -- Chapter 14. Intelligent machining of abrasive jet on Carbon Fiber and Glass Fiber Polymeric Composites using modified Nozzle -- Chapter 15. Additive Manufacturing of Nylon Parts and Implication study on Change in Infill densities and structures.
001437140 506__ $$aAccess limited to authorized users.
001437140 520__ $$aThis book shows how Industry 4.0 is a strategic approach for integrating advanced control systems with Internet technology enabling communication between people, products and complex systems. It includes processes such as machining features, machining knowledge, execution control, operation planning, machine tool selection and cutting tool. This book focuses on different articles related to advanced technologies, and their integration to foster Industry 4.0, being useful for researchers as well as industrialists to refer and utilize the information in production control.
001437140 588__ $$aOnline resource; title from digital title page (viewed on June 15, 2021).
001437140 650_0 $$aProduction management$$vCongresses.
001437140 650_0 $$aProduction engineering$$vCongresses.
001437140 650_6 $$aProduction$$xGestion$$vCongrès.
001437140 650_6 $$aTechnique de la production$$vCongrès.
001437140 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001437140 655_7 $$aConference papers and proceedings.$$2lcgft
001437140 655_7 $$aActes de congrès.$$2rvmgf
001437140 655_0 $$aElectronic books.
001437140 7001_ $$aPalanikumar, K.,$$eeditor.
001437140 7001_ $$aNatarajan, Elango,$$eeditor.
001437140 7001_ $$aSengottuvelu, Ramesh,$$eeditor.
001437140 7001_ $$aDavim, J. Paulo,$$eeditor.
001437140 77608 $$iPrint version:$$aPalanikumar, K.$$tFuturistic Trends in Intelligent Manufacturing.$$dCham : Springer International Publishing AG, ©2021$$z9783030700089
001437140 830_0 $$aMaterials forming, machining and tribology.
001437140 852__ $$bebk
001437140 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-70009-6$$zOnline Access$$91397441.1
001437140 909CO $$ooai:library.usi.edu:1437140$$pGLOBAL_SET
001437140 980__ $$aBIB
001437140 980__ $$aEBOOK
001437140 982__ $$aEbook
001437140 983__ $$aOnline
001437140 994__ $$a92$$bISE