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Development of hand-arm system models for vibrating tool analysis and test rig construction

机译:开发用于振动工具分析和试验台架的手臂系统模型

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The vibration and noise generated by powered hand tools may be affected by human interaction with these tools. This effect can be taken into account by including a hand-arm system model in tool analysis and testing. The objective of this study is to propose a general methodology for developing practical models for tool analyses and test rig constructions. To demonstrate the methodology, this study applied three traditional models (2-, 3-, and 4-degree-of-freedom (DOF) models) as well as a new 4-DOF model proposed by the authors. The biodynamic responses to hand-transmitted vibration measured at the hand driving-point along the forearm direction under combined grip and push actions were used to determine the parameters of the models using a least root-mean-square error curve fitting method. This study found that the new 4-DOF model and the traditional 3-DOF and 4-DOF models accurately represented the experimental mechanical impedance (MI). The transmissibility functions predicted using these models were also consistent with their corresponding experimental data measured on the fingers and at the wrist. When judged using apparent mass (AM) instead of MI, the traditional 2-DOF model also fits the experimental data well. The parameters of the 2-DOF and new 4-DOF models are more reasonable than those of the other two models for test rig construction. This study concluded that the new 4-DOF model provides the best choice for analyzing tools and for constructing test rigs. However, if the hand-tool dynamic interactions below 100 Hz are of major concern, the 2-DOF model is simpler and less expensive for test rig construction. Whereas these two models can be directly used in some applications, the proposed methodology can be used to develop a more tool-specific model when biodynamic response data for the specific tool are available. (c) 2008 Institute of Noise Control Engineering.
机译:电动手动工具产生的振动和噪声可能会受到人类与这些工具互动的影响。可以通过在工具分析和测试中包括一个手臂系统模型来考虑这种影响。这项研究的目的是提出一种通用方法,以开发用于工具分析和试验台构造的实用模型。为了证明该方法,本研究应用了三种传统模型(2-,3-和4-自由度(DOF)模型)以及作者提出的新的4-DOF模型。在最小的均方根误差曲线拟合方法的作用下,结合握力和推动力,在沿前臂方向的手驱动点处测量的对手传递振动的生物动力响应用于确定模型的参数。这项研究发现,新的4-DOF模型以及传统的3-DOF和4-DOF模型可以准确地表示实验机械阻抗(MI)。使用这些模型预测的透射率函数也与在手指和手腕上测得的相应实验数据一致。当使用表观质量(AM)代替MI进行判断时,传统的2-DOF模型也很好地拟合了实验数据。 2-DOF模型和新的4-DOF模型的参数比其他两个模型的参数更合理。这项研究得出的结论是,新的4-DOF模型为分析工具和构建测试平台提供了最佳选择。但是,如果主要关注低于100 Hz的手动工具动态相互作用,则2-DOF模型对于测试台的建造将更简单且成本更低。尽管这两个模型可以直接在某些应用中使用,但是当特定工具的生物动力响应数据可用时,可以使用所提出的方法来开发更特定于工具的模型。 (c)2008年噪声控制工程研究所。

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