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020 _a9783031043017
024 7 _a10.1007/978-3-031-04301-7
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTS183
072 7 _aTGP
_2bicssc
072 7 _aTEC009060
_2bisacsh
072 7 _aTGP
_2thema
090 _aTS183EBK
245 1 0 _aNumerical Modelling and Optimization in Advanced Manufacturing Processes
_h[electronic resource] /
_cedited by Chander Prakash, Sunpreet Singh, Aminesh Basak, J. Paulo Davim.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMaterials Forming, Machining and Tribology,
_x2195-092X
505 0 _aChapter 1. Parametric Appraisal of Plastic Injection Moulding for Low Density Polyethylene (LDPE): A Novel Taguchi based Honey Badger Algorithm and Capuchin Search Algorithm (Siddharth Jeet) -- Chapter 2. A Comparison of ferrofluid flow models for a curved rough porous circular squeeze film considering slip velocity and various shapes (Jimit R. Patel) -- Chapter 3. Simulation and optimization study on polishing of spherical steel by non-Newtonian fluids (Duc-Nam Nguyen) -- Chapter 4. 3D Modeling and Analysis of Femur Bone during Jogging and Stumbling Condition (Imran Ahemad Khan) -- Chapter 5. On Parametric Optimization of TSE for PVDF-Graphene-MnZnO Composite Based Filament Fabrication for 3D /4D Printing Applications (Vinay Kumar) -- Chapter 6. Multi-factor Optimization for Joining of Polylactic acid-Hydroxyapatite-Chitosan based Scaffolds by Rapid Joining Process (N. Ranjan) -- Chapter 7. Analysis of Dimensional Accuracy of Fused Filament Fabrication Parts Using Genetic Algorithm and Taguchi Analysis (J.S. Chohan) -- Chapter 8. Introduction to Optimization in Manufacturing Operations (Debojyoti Sarkar) -- Chapter 9. Potential Application of CEM43℃ and Arrhenius Model in Neurosurgical Bone Grinding (Atul Babbar) -- Chapter 10. An effective selection of laser cutter used in Stent manufacturing through Fuzzy TOPSIS.
520 _aThis book presents different numerical modeling and nature-inspired optimization methods in advanced manufacturing processes for understanding the process characteristics. Particular emphasis is devoted to applications in non-conventional machining, nano-finishing, precision casting, porous biofabrication, three-dimensional printing, and micro-/nanoscale modeling. The book includes practical implications of empirical, analytical, and numerical models for predicting the vital output responses. Especial attention is given to finite element methods (FEMs) for understanding the design of novel highly complex engineering products, their performances, and behaviors under simulated processing conditions.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aThermodynamics.
650 0 _aHeat engineering.
650 0 _aHeat transfer.
650 0 _aMass transfer.
650 1 4 _aIndustrial and Production Engineering.
650 2 4 _aEngineering Thermodynamics, Heat and Mass Transfer.
653 0 _aManufacturing processes
653 0 _aManufacturing processes -- Mathematical models
653 0 _aMathematical optimization
700 1 _aPrakash, Chander.
_eeditor.
_0(orcid)0000-0003-0856-9712
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSingh, Sunpreet.
_eeditor.
_0(orcid)0000-0001-9592-4828
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBasak, Aminesh.
_eeditor.
_0(orcid)0000-0003-2301-4758
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDavim, J. Paulo.
_eeditor.
_0(orcid)0000-0002-5659-3111
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aMaterials Forming, Machining and Tribology,
_x2195-092X
856 4 0 _uhttps://doi.org/10.1007/978-3-031-04301-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK