000			04707nam a2200409 i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102443 _d102443 _x1
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007			cr nn 008mamaa
008			171230s2018 si | s |||| 0|eng d
020			_a9789811055836
024	7		_a10.1007/978-981-10-5583-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS225 _b2018 EB
100	1		_aLu, Xinjiang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/124315112/ _9673612
245	1	0	_aModeling, Analysis and Control of Hydraulic Actuator for Forging _cby Xinjiang Lu, Minghui Huang.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (X, 228 páginas) _b115 ilustraciones, 93 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aPart One: Background and Fundamentals -- Introduction -- Literature Survey -- Part Two: Modelling for Forging Load and Processes -- Process/Shape-Decomposition Modeling for Deformation Force -- Online Probabilistic Extreme Learning Machine for Distribution Modeling of Batch Forging Processes -- Multi-level Parameter Identification Approach -- Multi-Experiment-Data Based SVD/NN Modeling Approach -- LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions -- Hybrid Model-Set/Data Online Modeling Approach for Time-Varying Forging -- Part Three: Dynamic Analysis for Forging Processes -- Model-based Dynamic Performance Analysis -- Closed-Loop Dynamic Performance Analysis -- Part Four: Intelligent Control for Complex Forging Processes -- System decomposition based multi-level control -- Intelligent integration control for Time-Varying Forging Process -- Conclusion.
520	3		_aThis book aims to overcome the current shortcomings of modeling, analysis and control approaches, presenting contributions in three major areas: a) Several novel modeling approaches are proposed: a process/shape-decomposition modeling method to help estimate the deformation force, an online probabilistic learning machine for the modeling of batch forging processes, several data-driven identification and modeling approaches for unknown forging processes under different work conditions. b) The model-based dynamic analysis methods is developed to derive the conditions of stability and creep. c) Several novel intelligent control methods are proposed for complex forging processes. One of the most serious problems in forging forming involves the inaccurate forging conditions, velocity and position, offered by the hydraulic actuator due to the complexity of both the deformation process of the metal work piece and the motion process of the hydraulic actuator. The current weaknesses of modeling, analysis and control approaches are summarized as follows: a) With the current modeling approaches it is difficult to model complex forging processes with unknown parameters, as they only model the dynamics in local working areas but do not effectively model unknown nonlinear systems across multiple working areas; further, they do not take the batch forging process into account, let alone its distribution modeling. b) All previous dynamic analysis studies simplify the forging system to having a single-frequency pressure fluctuation and neglect the influences of non-linear load force. Further, they fail to take the flow equation in both valves and cylinders into account. c) Conventional control approaches only consider the linear deformation force and pay no attention to sudden changes and the motion synchronization for the multi-cylinder system, making them less effective for complex, nonlinear time-varying forging processes subject to sudden changes.
988			_aEBSPRINGER_2018
650		7	_2embne _9140221 _aForja
650		7	_2embne _9138120 _aMáquinas hidráulicas
700	1		_aHuang, Minghui _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nr2003023761 _1http://viaf.org/viaf/2413092/ _9673613
776	0	8	_iEdición impresa: _z9789811055829
776	0	8	_iEdición impresa: _z9789811055843
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-5583-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI