A Robust Tolerance Design Method Based on Fuzzy Quality Loss

CAO Yan-long, MAO Jian, YANG Jiang-xin, WU Zhao-tong, WU Li-qun

PDF(129 KB)
PDF(129 KB)
Front. Mech. Eng. ›› 2006, Vol. 1 ›› Issue (1) : 101-105. DOI: 10.1007/s11465-005-0010-y

A Robust Tolerance Design Method Based on Fuzzy Quality Loss

  • CAO Yan-long, MAO Jian, YANG Jiang-xin, WU Zhao-tong, WU Li-qun
Author information +
History +

Abstract

The traditional tolerance design model ignores the impact of noise factor, so that the design may be infeasible due to variations in design constraints. Based on the analysis of fuzzy factors in tolerance design and the limitations of the traditional Taguchi squared quality loss function, a fuzzy quality loss function model utilizing fuzzy theory was introduced. Concepts on fuzzy quality loss and fuzzy quality loss cost were proposed in the model. The characteristics of the new model and the advantages over the traditional Taguchi quality loss function were analyzed. A robust tolerance design model using a fuzzy quality loss function was proposed. An example was given to illustrate the proposed model. Results and comparisons show that the method is suitable and reliable, and makes the conclusions more objective and reasonable.

Cite this article

Download citation ▾
CAO Yan-long, MAO Jian, YANG Jiang-xin, WU Zhao-tong, WU Li-qun. A Robust Tolerance Design Method Based on Fuzzy Quality Loss. Front. Mech. Eng., 2006, 1(1): 101‒105 https://doi.org/10.1007/s11465-005-0010-y
AI Summary AI Mindmap
PDF(129 KB)

Accesses

Citations

Detail

Sections
Recommended

/