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Expert’s Common Factor of Painting Motion in Auto Repair Painting Process

  • Shigeru Ikemoto
  • Hiroyuki Hamada
  • Yuka TakaiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 490)

Abstract

This study aimed to develop a learning system for studying the coating and painting tasks performed in automobile repair. This study analyzed and compared the characteristics of skilled spray gun handling for automobile repair painting with those with little experience. The spray gun movements and postures of 10 participants were measured using a motion capture system. The results showed the distance between the door and the experts’ body to be approximately 1 m. The experts kept their axillae closed, bent an elbow, and set the distance between the door and the spray gun to approximately 0.22 m. The experts’ spray gun running speed was faster than that of non-experts, and the speed reduced at the door panel edge. The experts’ body movement realized a uniform thickness coating.

Keywords

Auto repair Painting Spray gun handling Posture 3D motion capture 

Notes

Acknowledgments

This study was supported by a JSPS research grant (no. 26882052). We would like to thank the following people for their assistance in conducting this experiment: Mr. Ikemiya of the Kinki branch of the Japan Auto Body Repair Association; Mr. Ukita of the Nara Prefecture branch of the Japan Auto Body Repair Association; Mr. Tai of the Osaka Prefecture branch of the Japan Auto Body Repair Association; Mr. Hasegawa and Mr. Oguro of Proto-Rios Inc.; and Mr. Ebisu of Nippon Paint Co.

References

  1. 1.
    Suzuki, A., Furuta, S.: Jpn. J. Ergon. Impact of Operator Experience on Spray Gun Handling for Automobile Repair.30(5), 323–329 (1994)CrossRefGoogle Scholar
  2. 2.
    Mazzola, M., Aceti, A., Gibertini, G., Andreoni, G. In: Proceedings of 5th International Conference Applied Human Factors and Ergon. AHFE 2014, pp. 7245–7254 (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Kyoto Institute of TechnologySakyo-kuJapan
  2. 2.Osaka Sangyo UniversityOsakaJapan

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