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预测汽车装配中工具操作员在可接受的手柄偏转极限内抵抗扭矩的能力。

Predicting tool operator capacity to react against torque within acceptable handle deflection limits in automotive assembly.

作者信息

Radwin Robert G, Chourasia Amrish, Fronczak Frank J, Subedi Yashpal, Howery Robert, Yen Thomas Y, Sesto Mary E, Irwin Curtis B

机构信息

University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53597, USA.

University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53597, USA.

出版信息

Appl Ergon. 2016 May;54:205-11. doi: 10.1016/j.apergo.2015.12.001. Epub 2016 Jan 12.

Abstract

The proportion of tool operators capable of maintaining published psychophysically derived threaded fastener tool handle deflection limits were predicted using a biodynamic tool operator model, interacting with the tool, task and workstation. Tool parameters, including geometry, speed and torque were obtained from the specifications for 35 tools used in an auto assembly plant. Tool mass moments of inertia were measured for these tools using a novel device that engages the tool in a rotating system of known inertia. Task parameters, including fastener target torque and joint properties (soft, medium or hard), were ascertained from the vehicle design specifications. Workstation parameters, including vertical and horizontal distances from the operator were measured using a laser rangefinder for 69 tool installations in the plant. These parameters were entered into the model and tool handle deflection was predicted for each job. While handle deflection for most jobs did not exceed the capacity of 75% females and 99% males, six jobs exceeded the deflection criterion. Those tool installations were examined and modifications in tool speed and operator position improved those jobs within the deflection limits, as predicted by the model. We conclude that biodynamic tool operator models may be useful for identifying stressful tool installations and interventions that bring them within the capacity of most operators.

摘要

使用生物动力学工具操作员模型,结合工具、任务和工作站,预测了能够维持已公布的心理物理学得出的螺纹紧固件工具手柄偏转极限的工具操作员比例。工具参数,包括几何形状、速度和扭矩,取自一家汽车装配厂使用的35种工具的规格。使用一种将工具与已知惯性的旋转系统接合的新型装置,测量了这些工具的工具质量惯性矩。任务参数,包括紧固件目标扭矩和接头特性(软、中或硬),从车辆设计规格中确定。工作站参数,包括操作员的垂直和水平距离,使用激光测距仪对工厂中的69个工具安装进行了测量。将这些参数输入模型,并预测每个作业的工具手柄偏转。虽然大多数作业的手柄偏转未超过75%的女性和99%的男性的承受能力,但有六个作业超过了偏转标准。对这些工具安装进行了检查,如模型预测的那样,通过调整工具速度和操作员位置,使这些作业在偏转极限内得到了改善。我们得出结论,生物动力学工具操作员模型可能有助于识别压力较大的工具安装以及使它们处于大多数操作员承受能力范围内的干预措施。

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