Three-dimensional symmetric maximum weight lifting prediction

Rahid Zaman, Yujiang Xiang, Jazmin Cruz, James Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Lifting heavy weight is one of the main reasons for manual material handling related injuries which can be mitigated by determining the limiting lifting weight of a person. In this study, a 40 degrees of freedom (DOFs) spatial skeletal model was employed to predict the symmetric maximum weight lifting motion. The lifting problem was formulated as a multi-objective optimization (MOO) problem to minimize the dynamic effort and maximize the box weight. An inverse-dynamics-based optimization approach was used to determine the optimal lifting motion and the maximum lifting weight considering dynamic joint strength. The predicted lifting motion, ground reaction forces (GRFs), and maximum box weight were shown to match well with the experimental results. It was found that for the three-dimensional (3D) symmetric lifting the left and right GRFs were not same.

Original languageEnglish
Title of host publication40th Computers and Information in Engineering Conference (CIE)
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791883983
DOIs
StatePublished - 2020
EventASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020 - Virtual, Online
Duration: Aug 17 2020Aug 19 2020

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume9

Conference

ConferenceASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020
CityVirtual, Online
Period08/17/2008/19/20

Keywords

  • Dynamic joint strength
  • Lifting
  • Maximum weight lifting
  • Multi-objective optimization
  • Symmetric lifting

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