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GapSpace multi-dimensional assembly analysis.

机译:GapSpace多维装配分析。

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摘要

Assembly tolerance analysis is a process to determine the effect that tolerances specified on individually manufactured parts have on an assembly of these parts. Tolerance specifications form an important link between the product design, the manufacturing process and the assembly process. Mechanical engineers use tolerances to define allowable/possible manufactured uncertainties to insure interchangeable assemblies with proper functionalities. This paper proposes a revised GapSpace assembly analysis (RGSA) model to analyze the assembleability of the design under various tolerance specifications, such as worst-case tolerance specifications, statistical tolerance specifications and assembly tolerance specifications. The distinct property of this method is that it uses an inter-element gap (the clearance between different mechanical parts) as the basic functional unit for performing various assembly analyses.;A prominent characteristic of the GapSpace assembly analysis model is that the assembly success for a group of parts is exclusively determined by intrinsic geometric properties of manufactured parts. The model is composed of three main elements: gaps, constraining simplices and fitting conditions. A gap describes the relationship between a pair of features on two different parts; A constraining simplex represents a basic dimensional unit of a part; A fitting condition is a necessary and sufficient condition for assembly-level checking of the design. The set of independent fitting conditions is treated as the key element for performing various GapSpace assembly analyses. Each fitting condition has two equivalent representations: a gap representation and a geometric representation. Through properly analyzing the two representations, four types of assembly analyses are supported by the model: assembleability analysis, sensitivity analysis, assembly quality analysis (free play, e.g.) and tolerance synthesis. Developed from the GapSpace model (Zou 2002), the revised model (RGSA model) integrates various dimension and tolerance schemes (including both limit tolerances and geometric tolerances) into the calculation of constraining simplices, and uses various numerical methods, including Monte Carlo simulations, to evaluate the multivariate distributions of linear or non-linear fitting conditions. The application of the RGSA model is shown for some practical engineering examples and the results are compared with traditional tolerance analysis methods. The RGSA model is thus proven to be a reasonable and effective tolerance analysis technique.
机译:装配公差分析是确定在单独制造的零件上指定的公差对这些零件的装配的影响的过程。公差规格构成了产品设计,制造过程和组装过程之间的重要链接。机械工程师使用公差定义允许/可能的制造不确定性,以确保可互换的组件具有适当的功能。本文提出了一种经过修订的GapSpace装配分析(RGSA)模型,以分析各种公差规格(例如最坏情况的公差规格,统计公差规格和装配公差规格)下设计的可装配性。该方法的独特之处在于它使用元素间的间隙(不同机械零件之间的间隙)作为执行各种装配分析的基本功能单元。GapSpace装配分析模型的一个突出特点是装配成功。一组零件完全由制造零件的固有几何特性决定。该模型由三个主要元素组成:间隙,约束单纯形和拟合条件。间隙描述了两个不同零件上的一对特征之间的关系。约束单纯形表示零件的基本尺寸单位。装配条件是设计的装配级检查的必要和充分条件。一组独立的拟合条件被视为执行各种GapSpace装配分析的关键要素。每个拟合条件都有两个等效表示:间隙表示和几何表示。通过适当地分析这两种表示,该模型支持四种类型的装配分析:装配性分析,灵敏度分析,装配质量分析(例如,自由运动)和公差综合。从GapSpace模型(Zou 2002)发展而来,修订后的模型(RGSA模型)将各种尺寸和公差方案(包括极限公差和几何公差)集成到约束单纯形的计算中,并使用了各种数值方法,包括蒙特卡洛模拟,评估线性或非线性拟合条件的多元分布。给出了RGSA模型在一些实际工程实例中的应用,并将结果与​​传统的公差分析方法进行了比较。因此,RGSA模型被证明是一种合理而有效的公差分析技术。

著录项

  • 作者

    You, Xiaobin.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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