Geometric Tolerancing using the Jacobean torsor

Elmouden Mustapha, D. Amegouz, Mouhssine Chahbouni, S. Boutahari
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Abstract

In the industrial field, there is always an unavoidable risk when assembling an assembly composed of several parts, the complexity of this risk comes from the performance of the latter is only discovered at the assembly time. Designers always looking to predetermine the performance of an assembly before the assembly phase. Our work will help them to predict the behavior of the components of an assembly by using the known tolerances of the components as parameters in the Jacobian torsor model. In order to analyze the tolerances in a statistical way we will integrate in this work the jacobian torsor model and the simulation of the monte carlo. The assembly in this model is subdivided into surfaces, we will base on The parameters of the small displacement rotor (SDT) in order to express the relative position between two surfaces of the assembly. From a surface graph and the Jacobian Torsor model, we can create a 3D dimensional chain. In the last step, we will analyze the tolerances statistically with the Monte Carlo method. To analyze three-dimensional tolerances a numerical example will be used.
使用雅可比变形量的几何公差
在工业领域中,装配由多个部件组成的装配体时总是存在不可避免的风险,这种风险的复杂性来自于后者的性能仅在装配时才被发现。设计人员总是希望在组装阶段之前预先确定组件的性能。我们的工作将帮助他们通过使用部件的已知公差作为雅可比轴模型中的参数来预测装配部件的行为。为了对公差进行统计分析,本文将雅可比扭量模型与蒙特卡罗仿真相结合。该模型中的装配体被细分为多个面,我们将基于小排量转子(SDT)的参数来表示装配体两个面之间的相对位置。从曲面图和雅可比扭量模型出发,我们可以创建一个三维的维度链。在最后一步,我们将用蒙特卡罗方法统计分析公差。为了分析三维公差,将使用一个数值例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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