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

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

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dc.creator Zhang, Yanxin
dc.date.available 2011-02-19T00:02:04Z
dc.date.issued 2005-08
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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Texas Tech University en_US
dc.subject 3D simulation
dc.subject nonlinear optimization method
dc.title 3D simulation of manual material handling tasks based on nonlinear optimization method en_US
dc.type Electronic Dissertation en_US
thesis.degree.name Ph.D.
thesis.degree.level Doctoral
thesis.degree.discipline Industrial and Systems Engineering
thesis.degree.grantor Texas Tech University
thesis.degree.department Industrial and Systems Engineering
thesis.degree.department Industrial Engineering
dc.contributor.committeeMember Smith, James L.
dc.contributor.committeeMember Ayoub, M.M.
dc.contributor.committeeMember Ekwaro-Osire, Stephen
dc.contributor.committeeMember Dayawansa, Wijesuriya P.
dc.contributor.committeeChair Hsiang, Simon M.
dc.degree.department Industrial and Systems Engineering en_US
dc.rights.availability Unrestricted.

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