000825491 000__ 04608cam\a2200469Ii\4500 000825491 001__ 825491 000825491 005__ 20230306144219.0 000825491 006__ m\\\\\o\\d\\\\\\\\ 000825491 007__ cr\cn\nnnunnun 000825491 008__ 180104s2018\\\\si\\\\\\ob\\\\000\0\eng\d 000825491 019__ $$a1021196824$$a1027001868$$a1032270007 000825491 020__ $$a9789811055836$$q(electronic book) 000825491 020__ $$a9811055831$$q(electronic book) 000825491 020__ $$z9789811055829 000825491 0247_ $$a10.1007/978-981-10-5583-6$$2doi 000825491 035__ $$aSP(OCoLC)on1017756044 000825491 035__ $$aSP(OCoLC)1017756044$$z(OCoLC)1021196824$$z(OCoLC)1027001868$$z(OCoLC)1032270007 000825491 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dUAB$$dVT2$$dAZU$$dUPM$$dMERER$$dOCLCQ$$dU3W 000825491 049__ $$aISEA 000825491 050_4 $$aTS225 000825491 08204 $$a671.3/32$$223 000825491 1001_ $$aLu, XinJiang$$c(Manufacturing researcher),$$eauthor. 000825491 24510 $$aModeling, analysis and control of hydraulic actuator for forging /$$cXinjiang Lu, Minghui Huang. 000825491 264_1 $$aSingapore :$$bSpringer,$$c2018. 000825491 300__ $$a1 online resource 000825491 336__ $$atext$$btxt$$2rdacontent 000825491 337__ $$acomputer$$bc$$2rdamedia 000825491 338__ $$aonline resource$$bcr$$2rdacarrier 000825491 347__ $$atext file$$bPDF$$2rda 000825491 504__ $$aIncludes bibliographical references. 000825491 5050_ $$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. 000825491 506__ $$aAccess limited to authorized users. 000825491 520__ $$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. 000825491 588__ $$aOnline resource; title from PDF title page (viewed January 17, 2018). 000825491 650_0 $$aForging machinery$$xHydraulic drive$$xControl. 000825491 650_0 $$aHydraulic control. 000825491 7001_ $$aHuang, Minghui,$$eauthor. 000825491 77608 $$iPrint version: $$z9789811055829 000825491 852__ $$bebk 000825491 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-5583-6$$zOnline Access$$91397441.1 000825491 909CO $$ooai:library.usi.edu:825491$$pGLOBAL_SET 000825491 980__ $$aEBOOK 000825491 980__ $$aBIB 000825491 982__ $$aEbook 000825491 983__ $$aOnline 000825491 994__ $$a92$$bISE