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A DYNAMIC BIOMECHANICAL MODEL OF THE HAND AND ARM IN PISTOL GRIP POWER HAND TOOL USE

机译:手枪手臂动态生物力学模型手枪握力手动工具使用

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Torque build-up during power hand tool operation constitutes a relatively short period of time, but its influence on muscle exertion is most significant due to repeated exposure to relatively high reaction forces. This study considers the dynamicnature of the human power hand tool operator as a single degree of freedom mechanical system. The hand is therefore represented as mass, spring and damping elements. These are dependent upon the posture used and the individual operator. An apparatus wasused to obtain these elements by measuring the vibration frequency and amplitude change after an initial disturbance. Twenty-five subjects participated in the experiment. A repeated measures full factorial experiment tested the effects of gender,horizontal distance (30, 60, and 90 cm), and vertical distance (55, 93, 142, and 190 cm) on the three passive elements in the model for a pistol grip handle. The result shows that stiffnessand mass moment of inertia changed by 20.6% and 44.5% respectively with vertical location (p< .01), and 23.6% and 41.2% respectively with horizontal location (p<.01). Mass moment of inertia and damping changed by 31.1% and 38.5% respectively with gender(p<.01). The handle displacement and hand forceduring torque build-up was calculated based on this model. The model was validated by having five subjects operate an actual power hand tool and by measuring tool displacement using an OptoTrak motion analysis system. The model predictions were correlated with these measurements (R=.88).
机译:扭矩积聚动力手工工具操作期间构成的时间相对较短的时间,但其对肌肉施加的影响是由于反复暴露于相对高的反作用力最显著。这项研究认为,人的力量手工具操作的dynamicnature是自由的机械系统的一个程度。因此,手被表示为质量,弹簧和阻尼元件。这些都取决于所使用的姿势和个体经营者。一种装置,通过wasused测量初始扰动后的振动频率和振幅的变化,以获得这些元件。二十五名受试者参加了实验。重复测量全面析因实验测试性别,水平距离(30,60,和90厘米),和垂直距离(55,93,142,和190厘米)的模型中的三个无源元件的影响为手枪式握把处理。结果表明,惯性stiffnessand质量矩20.6%和44.5%分别与垂直位置(P <0.01),和23.6%和41.2%分别具有水平位置(P <0.01)改变。的质量惯性矩和阻尼31.1%和38.5%与性别分别变化(P <0.01)。手柄位移和手forceduring扭矩积聚正是基于这一模型计算。该模型是由具有五个受试者操作的实际功率手持工具并通过测量使用OPTOTRAK运动分析系统工具位移验证。模型预测用这些测量(R = 0.88)相关。

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