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Three-Dimensional Assembly Tolerance Analysis Based on the Jacobian-Torsor Statistical Model

机译:基于Jacobian-Torsor统计模型的三维组装公差分析

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The unified Jacobian-Torsor model has been developed for deterministic (worst case) tolerance analysis. This paper presents a comprehensive model for performing statistical tolerance analysis by integrating the unified Jacobian-Torsor model and Monte Carlo simulation. In this model, an assembly is sub-divided into surfaces, the Small Displacements Torsor (SDT) parameters are used to express the relative position between any two surfaces of the assembly. Then, 3D dimension-chain can be created by using a surface graph of the assembly and the unified Jacobian-Torsor model is developed based on the effect of each functional element on the whole functional requirements of products. Finally, Monte Carlo simulation is implemented for the statistical tolerance analysis. A numerical example is given to demonstrate the capability of the proposed method in handling three-dimensional assembly tolerance analysis.
机译:已经开发了统一的Jacobian-rorsor模型,用于确定性(最坏情况)公差分析。本文通过集成统一的雅略罗罗模型和蒙特卡罗模拟来介绍统计耐受分析的综合模型。在该模型中,组件被分成表面,小位移纹体(SDT)参数用于表示组件的任何两个表面之间的相对位置。然后,可以通过使用组件的表面图来创建3D尺寸链,并且基于每个功能元件对产品的整个功能要求的效果开发统一的雅戈织罗型模型。最后,蒙特卡罗模拟用于统计耐受分析。给出了数值例子来证明所提出的方法在处理三维组装公差分析方面的能力。

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