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Stochastic linkage modeling for mechanical error analysis of planar mechanisms

机译:平面机构机械误差分析的随机连杆机构建模

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This paper addresses stochastic linkage modeling for mechanical error analysis of planar mechanisms. Considering the effects of joint angle variations, the effective link length model is generalized. The generalized model produces more accurate predictions of mechanical errors than the effective link length model. However, the generalization requires more complicated mechanical, error analysis. This paper proposes a stochastic model to intuitively consider the effects of tolerances and clearances, based on the clearance vector concept. Stochastic models are applied to typical mechanisms and their results are compared with those of Monte Carlo simulations. The comparison shows that the proposed stochastic model is effective for mechanical error analysis. The clearance vector model yields more accurate results and is easier to use than the generalized effective link length model. [References: 8]
机译:本文讨论了用于平面机构机械误差分析的随机链接建模。考虑关节角度变化的影响,归纳了有效连杆长度模型。与有效链接长度模型相比,广义模型对机械错误的预测更为准确。但是,归纳需要更复杂的机械误差分析。本文提出了一种基于间隙矢量概念的直观考虑公差和间隙影响的随机模型。将随机模型应用于典型机制,并将其结果与蒙特卡洛模拟的结果进行比较。比较表明,所提出的随机模型对机械误差分析是有效的。间隙向量模型产生的结果比广义有效链路长度模型更准确,并且更易于使用。 [参考:8]

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