Tolerance Analysis Method Using Improved Convolution Method

被引：0

作者：

Liu, Shaogang ^{[1
]}

Jin, Qiu ^{[1
]}

机构：

[1] Tianjin Univ Sci & Technol, Coll Mech Engn, Tianjin 300222, Peoples R China

来源：

FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE III, PTS 1 AND 2 | 2013年 / 271-272卷

关键词：

Tolerance analysis; Statistical tolerance; Convolution; FRPDF;

D O I：

10.4028/www.scientific.net/AMM.271-272.1463

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Convolution method is studied to analyze statistical tolerance for linear dimension chain and nonlinear dimension chain. Hybrid convolution method is proposed, which is the integration of analytical convolution and numerical convolution. In order to reduce the algorithm errors, improved convolution method is proposed. Comparing with other statistical tolerance analysis methods, this method is faster and accurate. At last, an example is used to demonstrate the method proposed in this paper.

引用

页码：1463 / 1466

页数：4

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