000			05256cam a2200493Ii 4500
001			94553
003			ES-MaUEC
005			20230102112618.0
006			m o d
007			cr cnu|||unuuu
008			160908t20162017sz a o 101 0 eng d
020			_a3319457810 _q(electronic bk.)
020			_a9783319457819 _q(electronic bk.)
020			_z9783319457802 _q(print)
035			_a(OCoLC)958077885
040			_aN$T _cN$T _dGW5XE _dOCLCO _dN$T _dEBLCP _dOCLCO _dIDEBK _dOCLCF _dOCLCO _dYDX _dUAB _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTA174 _b.A383 2016 EB
111	2		_aInternational Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing _d(2016 : _cCatania, Italy)
245	1	0	_aAdvances on mechanics, design engineering and manufacturing : _bproceedings of the International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing (JCM 2016), 14-16 September, 2016, Catania, Italy _cBenoit Eynard, Vincenzo Nigrelli, Salvatore Massimo Oliveri, Guillermo Peris-Fajarnes, Sergio Rizzuti, editors.
246	3		_aJCM 2016
264		1	_aCham, Switzerland _bSpringer _c[2016].
264		4	_c2017
300			_a1 recurso en línea (xxiii, 1245 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aLecture notes in mechanical engineering _x2195-4356
500			_aIncludes author index.
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aPreface and Acknowledgements; Organization Committee; Contents; Part I Integrated Product and Process Design; Section 1.1 Innovative Design Methods; 1 A SYSTEMATIC METHODOLOGY FOR ENGINEERED OBJECT DESIGN : THE P-TO-V MODEL OF FUNCTIONAL INNOVATION; Abstract; Keywords:; 1 Introduction; 1.1 Background; 1.2 Terminology; 1.3 Model Structure : P-To-V; 1.4 Limitations and Further Wor; 2 Influencing Factor Concept; 2.1 Concept Origin; 2.2 Concept Application; 2.3 Out Of The Box; 3 Brief Case Study Review; 4 The P-To-V Model; 4.1 Design and Innovation Methodologies; 4.2 P-To-V Characterisitics
505	8		_a2.2 The cylinder variables3. Neuro-separated meta-model; 3.1. Neural network; 3.2. Heywood neural sub-model; 3.3. Mass fractions neural sub-model; 3.4. Gases distribution sub-model; 5. Conclusion; References; 6 SUBASSEMBLY IDENTIFICATION METHOD BASEDON CAD DATA; Abstract; Keywords:; 1 Introduction; 2. Proposed approach to identify subassemblies; 2.1. CAD assembly data extraction; 2.2 Subassembly identification process; 2.2.1 Adjacency matrix of CAD model; 2.2.2 Determination of the base part set; 2.2.3 Subassembly research; 3. Conclusion; 4 References
505	8		_a4.3 Influencing Factors -- Linkage to Roles4.4 Model Operating Chart (MOC); 5 Further Work; Acknowledgments; References; 2 Influence of the evolutionary optimization parameters on the optimal topology; Abstract; Keywords:; 1 Introduction; 2 Evolutionary Structural Optimization; 3 Implementation of the procedure; 4 Case Study; 5 Results; 6 Conclusions; References; 3 Design of structural parts for a racing solar car; Abstract; Keywords:; 1 Introduction; 2 Solar car efficiency; 3 Mechanical components design; 3.1 Structural Optimization; 4 Design process; 6 Results; 7 Conclusion; References
505	8		_a7 Multi-objective conceptual design: an approachto make cost-efficient the design for manufacturing and assembly in the development of complex productsAbstract:; Keywords:; 1 Introduction; 2 State of the art and research background; 3 Multi-objective conceptual design approach; 3.1 Product modules, properties definition and design solutions; 3.2 Multi-objective approach; 4 Case study: A tool-holder carousel of machine tool; 5 Results discussion and concluding remarks; References; 8 Modeling of a three-axes MEMS gyroscope with feedforward PI quadrature compensation; Abstract:; Keywords:
505	8		_aSection 1.2 Integrated Product and Process Design4 Some Hints for the Correct Use of the Taguchi Method in Product Design; Abstract.; Keywords:; 1 Introduction; 2 Relevant problems; 2.1 Problem 1: Definition of the characteristic function; 2.2 Problem 2: Variance of noise effects; 3 New set of evaluation criteria; 3.1 Reducing Bias of characteristic function; 3.2 Reducing variance of noise effect; 4 Case study; 5 Conclusion; References; 5 Neuro-separated meta-model of the scavenging process in 2-Stroke Diesel engine; Abstract; Keywords:; 1 Introduction; 2 Scavenging process; 2.1 The new model
650		7	_aEngineering design. _2fast _0(OCoLC)fst00910453 _0
700	1		_aEynard, Benoit _eeditor literario _997903
700	1		_aNigrelli, Vincenzo, _eeditor literario
700	1		_aOliveri, Salvatore Massimo, _eeditor literario
700	1		_aPeris Fajamés, Guillermo, _eeditor literario
700	1		_aRizzuti, Sergio, _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-45781-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94553 _d94553 _x1