基于公差传播统计分析的可装配性评价

Sukhan Lee, Chunsik Yi
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引用次数: 5

摘要

本文提出了一种基于公差和间隙传播的可装配性评价的统计方法。公差影响装配序列的可装配性,而间隙可以补偿公差。在过去,装配计划者为产生可行的装配序列而假定产品部件的标称尺寸。然而,由于公差的传播和积累,这些序列在实践中可能无法组装。利用间隙的概念,提出了计算串行、并行和多环链的统计容差和间隙传播的方法。该方法可以作为CAD/CAM的一个有价值的工具,因为早期发现装配问题可以显著降低产品成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of assemblability based on statistical analysis of tolerance propagation
In this paper we present a statistical approach to assemblability evaluation based on tolerance and clearance propagations. Tolerance affect assemblability of an assembly sequence, however, clearance can compensate for tolerance. Assembly planners in the past have assumed nominal dimensions for product components for generating feasible assembly sequences. These sequences, however, may not be assemblable in practice due to propagations and accumulations of tolerances. With this concept of clearance, approaches to compute statistical tolerance and clearance propagations for serial, parallel, and multi-loop chains are proposed. The proposed method can be a valuable tool for CAD/CAM since early detection of assembly problems can significantly reduce the product cost.
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