FLEXONICS FOR MANUFACTURING AND ROBOTICS:MODELING, DESIGN AND ANALYSIS METHOD(簡體書)
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系列名:智能製造與機器人理論及技術研究叢書
ISBN13:9787568040549
出版社:華中科技大學出版社
作者:郭家傑; 李國民
出版日:2018/12/01
裝訂:精裝
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商品簡介
Thisbookformulatesthelargedeformationofa3-Dcompliantbeamasaboundaryvalueproblem(BVP).Unlikeothermethods,suchasfiniteelement(FE)method,thatformulateproblemsbasedondisplacementsand/orrotationalangles,theBVPformulationhasbeenderivedusingcurvaturesthataremorefundamentalinpresentingnonlineargeometries.Sinceinthecaseoffiniterotation,superpositionholdsforcurvaturesbutnotforrotationalangles,themodelismuchsimplerandtheresultingcomputationalprocessismoreefficient.Theaboveadvantageshavebeenemployedinthisresearchtoanalyzecompliantmechanismdesignsusingcurvature-basedbeammodels.Alongwiththemethodofderivingthecompliantmembersinthesameglobalreferenceframe,ageneralizedconstraintactingonacompliantmechanismispresentedtoreplacetraditionalboundaryconstraints(suchasfixed,pinnedorslidingconstraint)wherenoneoronlyonedegreeoffreedom(DOF)isallowed.Inspiredbythedexterityofanaturalbiologicaljointthatoffersefficientmulti-axisrotation,thisresearchextendstothemodelingmethodofageneralizedconstraint(orreferredtohereasabio-jointconstraint)todevelopdesignsemulatingcommonlyobservedhumanmotionsofmulti-DOFs.Usingamultipleshootingmethod(MSM),theBVPistreatedasaninitialvalueproblemandhigherorderaccuracycanbeachievedthanfiniteelement(FE)methods.
作者簡介
Jiajie Guo,received the B.S. degree from the Department of Mechanics and Engineering Science at Peking University, Beijing, in 2006, and M.S. and Ph.D. degrees from Mechanical Engineering, Georgia Institute of Technology, Atlanta, in 2009 and 2011, respectively. He is currently an Associate Professor in the State Key Laboratory of Digital Manufacturing and Equipment and the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, Wuhan, China. He is an IEEE and ASME member, and a program committee member of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics. His current research interests include human-centered robotics, flexible mechatronics, manufacturing and system dynamics/control. He has published more than thirty peer-reviewed technical papers in journals and conferences, and has been awarded the best paper award from IEEE/ASME Transactions on Mechatronics in 2015.
Kok-Meng Lee,earned his B.S. degree from the University of Buffalo, the State University of New York, Buffalo, NY, USA, in 1980, and S. M. and Ph. D. degrees from Massachusetts Institute of Technology, Cambridge, MA, USA, in 1982 and 1985, respectively. He is currently Professor of Mechanical Engineering at Georgia Institute of Technology, Atlanta, GA, USA. He is also Distinguished Professor with the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China, under Thousand Talents Plan. Prof. Lee's research interests include system dynamics/control, robotics, automation, and mechatronics. He is a world renowned researcher with more than 30 years of research experience in magnetic field modeling and design, optimization and implementation of electromagnetic actuators. He has published over 150 peer-reviewed papers and he holds eight patents in machine vision, three degrees of freedom (DOF) spherical motor/encoder, and live-bird handling system. He is IEEE/ASME Fellow and was the Editor-in-Chief for the IEEE/ASME Transactions on Mechatronics from 2008 to 2013. Recognitions of his research contributions include the National Science Foundation (NSF) Presidential Young Investigator, Sigma Xi Junior Faculty Research, International Hall of Fame New Technology, and Kayamori Best Paper awards.
Kok-Meng Lee,earned his B.S. degree from the University of Buffalo, the State University of New York, Buffalo, NY, USA, in 1980, and S. M. and Ph. D. degrees from Massachusetts Institute of Technology, Cambridge, MA, USA, in 1982 and 1985, respectively. He is currently Professor of Mechanical Engineering at Georgia Institute of Technology, Atlanta, GA, USA. He is also Distinguished Professor with the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China, under Thousand Talents Plan. Prof. Lee's research interests include system dynamics/control, robotics, automation, and mechatronics. He is a world renowned researcher with more than 30 years of research experience in magnetic field modeling and design, optimization and implementation of electromagnetic actuators. He has published over 150 peer-reviewed papers and he holds eight patents in machine vision, three degrees of freedom (DOF) spherical motor/encoder, and live-bird handling system. He is IEEE/ASME Fellow and was the Editor-in-Chief for the IEEE/ASME Transactions on Mechatronics from 2008 to 2013. Recognitions of his research contributions include the National Science Foundation (NSF) Presidential Young Investigator, Sigma Xi Junior Faculty Research, International Hall of Fame New Technology, and Kayamori Best Paper awards.
目次
Acknowledgements/iiTable of contents/iiiLIST OF TABLES/viLIST OF FIGURES/viiList of SYMBOLS/xiList of ABBREVIATIONS/xiiiPreface/xvCHAPTER I Introduction/11.1 Background and Motivation/11.2 Problem Description and Objectives/11.3 Review of Related Work/21.3.1 Compliant mechanisms/31.3.2 Joint constraint/41.3.3 Numerical methods for boundary value problems/61.3.4 Flexible robotics for structural health monitoring/71.3.5 Human-centered equipment (Exoskeleton)/91.3.6 Process state monitoring for manufacturing/101.3.7 Poultry-meat processing/131.4 Book Outline/14CHAPTER II Fundamentals of mathematics/152.1 Differential Geometry/152.2 Curvature of a 3D Beam/162.3 Kinematics of a 3D Beam/182.4 Kinematics of an Annular Plate/232.5 Multiple Shooting Method/262.6 Summary/27CHAPTER III Flexible Elements/283.1 Two-dimensional Beam/283.2 Three-dimensional Beam/313.3 Annular Plate/383.4 General Constraint/443.5 Summary/54CHAPTER IV Flexonic Mobile Node/554.1 Design Concept/554.1.1 Dimension/564.1.2 Attachment/574.1.3 Flexibility/574.2 Functionalities/594.2.1 Sensor attachment/604.2.2 Convex corner negotiation (2D)/634.2.3 Convex corner negotiation (3D)/664.2.4 Concave corner negotiation/694.2.5 Environment monitoring/704.3 Experimental Validation/744.3.1 First prototype of FMN/744.3.2 Second prototype of FMN/824.4 Structural Health Monitoring/854.4.1 Steel frame structure/864.4.2 Space frame bridge/884.5 Summary/93CHAPTER V Intelligent Manufacturing/945.1 Dynamic Analysis/945.1.1 Parametric Effects on |A(ωnm)| (DC1)/965.1.2 Illustrative example (DC1)/975.1.3 Numerical Verification (DC1 and DC2)/995.2 Parameter Identification and Sensing Configuration/1015.2.1 Modal Damping Coefficients/1025.2.2 Step Response/1045.2.3 Robustness of Sensor Performance/1055.2.4 Sensor Configuration Design/1065.3 Formulation of Field Reconstruction/1085.3.1 Field Reconstruction Algorithm/1105.3.2 Numerical Verification/1115.3.3 Numerical Evaluation of Reconstruction Algorithm/1135.4 Experiment Results and Illustrative Application/1145.4.1 Free Vibration of Non-rotating Plate/1155.4.2 Field Reconstruction for Machining/1185.5 Summary/121CHAPTER VI Bio-inspired Exoskeleton/1226.1 Human Knee Kinematics/1226.2 Knee Joint Dynamics/1256.3 Knee-exoskeleton Coupling/1296.3.1 Coupled Kinematics/1316.3.2 Coupled Dynamics/1326.4 Experimental Investigation/1326.4.1 Design Configurations/1336.4.2 Experimental Test Bed/1346.4.3 Experimental Methods/1356.4.4 Results and Discussion/1376.5 Summary/145CHAPTER VII Musculoskeleton Modeling/1467.1 Musculoskeletal System/1467.1.1 Coordinates/1477.1.2 Bio-joint Constraint/1487.1.3 Clavicle Model/1507.1.4 Soft Tissue Mechanics/1547.2 Experimental Investigation/1557.2.1 Elastic modulus of clavicle/1557.2.2 Ligament mechanics/1597.3 Illustrative Application to Wing Manipulation/1627.4 Summary/165References/167Authors/176
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