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Research on Hand-Transmitted Vibration Prediction Model of the Handheld EVA Power Tool

  • Hao Fu*
  • , Yang Chen
  • , Yang Yu*
  • , Minghe Jin
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • China Aerospace Science and Technology Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

The hand-transmitted vibration generated by extravehicular activity (EVA) power tools has an important impact on the health of astronauts and the efficient completion of maintenance tasks when astronauts use EVA power tools for on-orbit maintenance. Based on the hand-transmitted vibration zero-gravity simulation test platform to measure the vibration response of the EVA power tool to human hands. Given the influence of the length of the operating rod and the number of non-detaching fastening devices on daily vibration exposure when astronauts wear extravehicular spacesuit gloves, a second-order polynomial model and a quadratic cumulative nonlinear model of daily vibration exposure are established. The experimental results show that the second-order polynomial model is more explanatory and predictive of the test data in the scope of the test. The R-values of the palm and opisthenar prediction model are 0.9930 and 0.9940 respectively, and the RMSEs are (Formula presented.) m/s2 and (Formula presented.) m/s2. The quadratic cumulative nonlinear model can accurately predict the vibration exposure of the hand outside the scope of the test. This study can provide theoretical reference and data support for the prediction of vibration exposure generated by astronauts using the EVA power tools during on-orbit maintenance.

Original languageEnglish
Article number10373
JournalApplied Sciences (Switzerland)
Volume12
Issue number20
DOIs
StatePublished - Oct 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • EVA power tool
  • daily vibration exposure
  • hand-transmitted vibration
  • prediction model

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