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008			230111s2022 sz | s |||| 0|eng d
020			_a9783031043017
024	7		_a10.1007/978-3-031-04301-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS183 _b2022 EB
245	0	0	_aNumerical Modelling and Optimization in Advanced Manufacturing Processes _cedited by Chander Prakash, Sunpreet Singh, Aminesh Basak, J. Paulo Davim
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (X, 168 páginas) _b101 ilustraciones, 88 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9163432 _aProcesos de fabricación
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aPrakash, Chander _eeditor literario _0(orcid)0000-0003-0856-9712 _1https://orcid.org/0000-0003-0856-9712 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSingh, Sunpreet _eeditor literario _0(orcid)0000-0001-9592-4828 _1https://orcid.org/0000-0001-9592-4828 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBasak, Aminesh _eeditor literario _0(orcid)0000-0003-2301-4758 _1https://orcid.org/0000-0003-2301-4758 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDavim, J. Paulo _eeditor literario _0(orcid)0000-0002-5659-3111 _1https://orcid.org/0000-0002-5659-3111 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031043000
776	0	8	_iPrinted edition: _z9783031043024
776	0	8	_iPrinted edition: _z9783031043031
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04301-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI