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利用工业电动拧紧枪,从手握手柄接触压力中分离出固持力和推压力分布。

Isolating In-Situ Grip and Push Force Distribution from Hand-Handle Contact Pressure with an Industrial Electric Nutrunner.

机构信息

Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.

Department of Kinesiology, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.

出版信息

Sensors (Basel). 2021 Dec 4;21(23):8120. doi: 10.3390/s21238120.

Abstract

OBJECTIVES

Grip force during hand tool operation is the primary contributor to tendon strain and related wrist injuries, whereas push force is a contributor to shoulder injuries. However, both cannot be directly measured using a single measurement instrument. The objective of this research was to develop and test an algorithm to isolate the grip and push force distributions from in-situ hand-handle pressure measurements and to quantify their distributions among industrial workers using an electric nutrunner.

METHODS

Experienced automobile assembly line workers used an industrial nutrunner to tighten fasteners at various locations and postures. The pressure applied by the hand on the tool handle was measured dynamically using pressure sensors mounted on the handle. An algorithm was developed to compute the push force applied to the handle of an electric pistol-grip nutrunner based on recorded pressure measurements. An optimization problem was solved to find the contribution of each measured pressure to the actual pushing force of the tool. Finally, the grip force was determined from the difference between the measured pressure and the calculated pushing pressure.

RESULTS

The grip force and push force were successfully isolated and there was no correlation between the two forces. The computed grip force increased from low to high fastener locations, whereas the push force significantly increased during overhead fastening. A significant difference across the participants' computed grip forces was observed. The grip force distribution showed that its contribution to total hand force was larger than other definitions in the literature.

CONCLUSIONS

The developed algorithm can aid in better understanding the risk of injury associated with different tasks through the notion of grip and push force distribution. This was shown to be important as even workers with considerable power tool experience applied significantly more grip and push force than other participants, all of whom successfully completed each task. Moreover, the fact that both forces were uncorrelated shows the need for extracting them independently.

摘要

目的

在手动工具操作过程中,握力是导致肌腱劳损和相关腕部损伤的主要因素,而推力是导致肩部损伤的因素。然而,这两种力都不能通过单一测量仪器直接测量。本研究的目的是开发和测试一种算法,以从原位手柄压力测量中分离出握力和推力分布,并使用电动起子枪量化工业工人的分布。

方法

经验丰富的汽车装配线工人在不同位置和姿势下使用工业起子枪拧紧紧固件。使用安装在手柄上的压力传感器动态测量手施加在工具手柄上的压力。开发了一种算法,根据记录的压力测量值来计算电动枪式握把起子枪施加到手柄上的推力。通过求解优化问题,找到每个测量压力对工具实际推力的贡献。最后,从测量压力和计算的推压力之间的差值确定握力。

结果

成功地分离了握力和推力,两者之间没有相关性。计算出的握力从低紧固件位置增加到高紧固件位置,而在头顶紧固时推力显著增加。参与者的计算握力存在显著差异。握力分布表明,其对总手部力量的贡献大于文献中的其他定义。

结论

所开发的算法可以通过握力和推力分布的概念,帮助更好地理解与不同任务相关的受伤风险。这一点很重要,因为即使是具有相当多电动工具经验的工人,也比其他参与者施加了更大的握力和推力,而所有参与者都成功地完成了每项任务。此外,这两种力都不相关的事实表明需要独立地提取它们。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/667e/8662408/999d04514849/sensors-21-08120-g001.jpg

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