Pengzhong LI; Weimin ZHANG; Can CHEN

Prediction of Operating Loads Contribution to Assembly Relation and Product Behavior

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Author(s)

Pengzhong LI ^1,* Weimin ZHANG ² Can CHEN ²

1. Sino-German School of Graduate Students, Tongji University, Shanghai, P.R. China

2. College of Mechanical Engineering, Tongji University, Shanghai, P.R. China

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2009.01.02

Received: 8 Jan. 2009 / Revised: 25 Mar. 2009 / Accepted: 1 Jun. 2009 / Published: 8 Oct. 2009

Index Terms

Contribution prediction, operating load, assembly relation, product behavior

Abstract

In the process of product manufacturing, control of assembly error will directly affect product operating behavior. When product running, operating loads will lead to change of assembly relation of product parts, affecting product behavior. Based on Jacobian-Torsor method, the Jacobian Torsor tolerance model, considering contribution of operating loads, was extended and corrected, the assembly error (assembly relation change) resulted from operating loads can be calculated. Variation of running behavior with assembly error was divided to three phases: compensation phase, rapid loss phase and total loss phase. Based on changing curve of product behavior, function of behavior loss was constructed to describe behavior loss resulting from assembly error of a part of product. The conception and calculating method of behavior loss index (BLI) are given to reflect behavior changing status of whole product under certain assembly accuracy. Combined with extended Jacobia -Torsor method, the calculated results can be used to predict product behavior change led by operating loads. The prediction can help to know next measurement adopted in product design phase. An example is given to demonstrate calculating procedure of given method.

Cite This Paper

Pengzhong LI, Weimin ZHANG, Can CHEN,"Prediction of Operating Loads Contribution to Assembly Relation and Product Behavior", International Journal of Intelligent Systems and Applications(IJISA), vol.1, no.1, pp.11-18, 2009. DOI: 10.5815/ijisa.2009.01.02

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International Journal of Intelligent Systems and Applications (IJISA)