China Safety Science Journal ›› 2017, Vol. 27 ›› Issue (2): 64-69.doi: 10.16265/j.cnki.issn1003-3033.2017.02.012

• Safety Science of Engineering and Technology • Previous Articles     Next Articles

Modeling for prediction of maximum endurance time in a static pallet truck pulling task with single arm

YI Cannan1,2, LI Kaiway1,3, SHI Shiliang2, TANG Fan1, HU Hong1, CHEN Chengfeng1   

  1. 1 School of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang Hunan 421102, China
    2 School of Resource Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan Hunan 411201, China
    3 Department of Industrial Management, Chung Hua University, Hsinchu Taiwan 30012, China
  • Received:2016-10-19 Revised:2016-12-29 Online:2017-02-28 Published:2020-11-22

Abstract: A simulated static pallet truck pulling task was designed and performed to investigate the development of muscular fatigue in a truck pulling task with single arm. The MVC of single arm before and after pulling, and MET, were measured, and the RPE data on muscular fatigue after pulling were collected using the Borg CR-10 to explore the influences of both load and body mass index(BMI) on MET, pulling strength and its variation before and after pulling, and RPE. Also, MET models were built based on the data for predicting the development of muscular fatigue in single arm pulling task. The results show that only load affects the MET significantly, that MET models of exponential function and power function are consistent with the existing MET prediction models ,and that prediction by the models built by the authors is more accurate than that by each of the existing models .

Key words: truck pulling task, maximum endurance time (MET), maximum voluntary contractions (MVC), muscular fatigue, ratings of perceived exertion (RPE)

CLC Number: