Statistical Tolerance Analysis with T-Maps for Assemblies

被引:10
|
作者
Ameta, Gaurav [1 ]
Davidson, Joseph K. [2 ]
Shah, Jami J. [3 ]
机构
[1] Dakota Consulting Inc, Silver Spring, MD 20910 USA
[2] Arizona State Univ, Tempe, AZ 85287 USA
[3] Ohio State Univ, Columbus, OH 43210 USA
关键词
Statistical Tolerance Analysis; Assemblies; Convolution; GEOMETRIC TOLERANCES; MATHEMATICAL-MODEL;
D O I
10.1016/j.procir.2018.02.021
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The T-Map (Tolerance-Map) model for representing geometric variations of planar surfaces is extended to include probabilistic representations of variations of those surfaces. T-Maps are hypothetical volume of points, which can arise from tolerances on size, position, orientation, and form. The variations of a planar surface are decomposed into manufacturing and geometric bias. Statistical accumulation of variation in an assembly is computed using convolution of T-Maps. The dimension of interest is mapped to a surface Sc in the hypothetical Euclidean space. Probability distribution is then computed as weighted surface area of intersection of the surface Sc with the convolved accumulation T-Map. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of the 15th CIRP Conference on Computer Aided Tolerancing - CIRP CAT 2018.
引用
收藏
页码:220 / 225
页数:6
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