3D simulation of manual material handling tasks based on nonlinear optimization method

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dc.contributor.committeeChair Hsiang , Simon M . en_US
dc.contributor.committeeMember Smith , James L . en_US
dc.contributor.committeeMember Ayoub , M .M . en_US
dc.contributor.committeeMember Ekwaro -Osire , Stephen en_US
dc.contributor.committeeMember Dayawansa , Wijesuriya P . en_US
dc.degree.department Industrial and Systems Engineering en_US
dc.degree.discipline Industrial and Systems Engineering en_US
dc.degree.grantor Texas Tech University en_US
dc.degree.level Doctoral en_US
dc.degree.name Ph .D . en_US
dc.rights.availability unrestricted en_US
dc.creator Zhang , Yanxin en_US
dc.date.accessioned 2014 -02 -19T18 :44 :53Z
dc.date.available 2011 -02 -19T00 :02 :04Z en_US
dc.date.available 2014 -02 -19T18 :44 :53Z
dc.date.issued 2005 -08 en_US
dc.date.submitted 2005 -07 -14 en_US
dc.identifier.uri http : / /hdl .handle .net /2346 /20958 en_US
dc.description.abstract Two biomechanical approaches were launched in this study to simulate and investigate the manual material handling (MMH ) activities . The first is a biomechanical simulation approach . In this approach , an inverse kinematics computation with nonlinear optimization method was applied to simulate MMH . Mathematically , the approach was expressed as a system of nonlinear equations with an objective function and a set of constraints , which was solved using an iterative numerical algorithm . The second is a dynamic & control approach . In this approach , the human body was viewed as a two -link rigid body (upper body and lower body ) control system , which can control the muscles to generate different joint torques (ankle torque and hip torque ) to compensate the external load moment which was be considered as a perturbation at different phase and posture during lifting . The body postural responses to a wide range of perturbations were simulated . To test and validate these two modeling approaches , a factorial experiment was conducted to obtain the kinematics data for different task conditions . A set of kinematics (angular displacement and angular velocity ) and kinetic parameters (joint torque and compressive forces ) was analyzed . The experiment results showed that the simulated data fit well with the experiment data and further insights of the human control strategy of MMH were gained by statistical analysis . en_US
dc.language.iso en _US en_US
dc.publisher Texas Tech University en_US
dc.subject 3D simulation en_US
dc.subject nonlinear optimization method en_US
dc.title 3D simulation of manual material handling tasks based on nonlinear optimization method en_US
dc.type Electronic Dissertation en_US


3D simulation of manual material handling tasks based on nonlinear optimization method. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /20958 .

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