Application of a Unified Jacobian—Torsor Model for Tolerance Analysis

雅可比矩阵与行列式 运动学 公差分析 无穷小 代表(政治) 计算机科学 机器人学 统一 算法 人工智能 数学 工程制图 机器人 工程类 应用数学 经典力学 政治 物理 数学分析 程序设计语言 法学 政治学
作者
Alain Desrochers,Walid Ghié,Luc Laperrière
出处
期刊:Journal of Computing and Information Science in Engineering [ASM International]
卷期号:3 (1): 2-14 被引量:178
标识
DOI:10.1115/1.1573235
摘要

Because of uncertainties in manufacturing processes, a mechanical part always shows variations in its geometrical characteristics (ex. form, dimension, orientation and position). Quality then often reflect how well tolerances and hence, functional requirements, are being achieved by the manufacturing processes in the final product. From a design perspective, efficient methods must be made available to compute, from the tolerances on individual parts, the value of the functional requirement on the final assembly. This is known as tolerance analysis. To that end, existing methods, often based on modeling of the open kinematic chains in robotics, are classified as deterministic or statistical. These methods suppose that the assembled parts are not perfect with regard to the nominal geometry and are rigid. The rigidity of the parts implies that the places of contacts are regarded as points. The validation or the determination of a tolerance zone is therefore accomplished by a series of simulation in specific points subjected to assembly constraints. To overcome the limitations and difficulties of point based approaches, the paper proposes the unification of two existing models: the Jacobian’s matrix model, based on the infinitesimal modeling of open kinematic chains in robotics, and the tolerance zone representation model, using small displacement screws and constraints to establish the extreme limits between which points and surfaces can vary. The approach also uses interval algebra as a novel method to take tolerance boundaries into account in tolerance analysis. The approach has been illustrated on a simple two parts assembly, nevertheless demonstrating the capability of the method to handle three-dimensional geometry. The results are then validated geometrically, showing the overall soundness of the approach.
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