A Comparison of Processing Time and Strike Position Between Experts and Non-experts of Sheet-Metal Repair
Repairing a car is a constantly evolving process. Such a task is individualized and is performed using hand. Analyzing the processing behavior of car repair experts can play an important role in improving the training procedure for craftspeople in this field. The goal of this study is to develop a learning system for car mechanics by examining the techniques used by craftspeople. In this study, the striking motion of an expert’s hammer during the sheet-metal molding process in an automobile repairing process was analyzed and compared with those of non-experts. As the first step, the study attempted to examine the characteristic motions of experts performing such a task. Using a three-dimensional digital motion analysis equipment, we measured the movement of skilled and unskilled individuals while repairing cars by using the sheet metal molding process. The results showed that the total time spent for ‘hammering,’ ‘others,’ and ‘total work time’ by the experts was significantly shorter compared to the time spent by non-experts. Furthermore, experts were able to complete the task with one hammer. Additionally, experts used a lower number of strikes compared to non-experts as the hammering time increased.
KeywordsSheet metal repair Motion capture Processing time
This work was supported by Kinki Aria Auto Body Repair Association, Nara Prefecture Auto Body Repair Association, Osaka Prefecture Auto Body Repair Association, Protorios Inc. and JSPS Kakenhi Grant Number 26882052.
- 3.Hayashi, T., Yanagisawa, Y.: Comparison of the movement of knives cutting food between experts and non-experts by motion analysis techniques. J. Cooking Sci. Jpn. 37(3), 299–305 (2004)Google Scholar
- 7.Mazzola, M., Aceti, A., Gibertini, G., Andreoni, G.: Aerody-namics and biomechanical optimization of the jump phase in skiing, through a simulation-based predictive model. In: Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014, pp. 7245–7254 (2014)Google Scholar
- 8.Liao, M., Yoshikawa, T., Goto, A., Ota, T., Hamada, H.: Effect of care gesture on transfer care behavior in elderly nursing home in Japan, digital human modeling. Appl. Health Saf. Ergon. Risk Manag.: Ergon. Health 9185, 174–183 (2015)Google Scholar