Research Article
Research on Robust Optimization Design Method Based on Random Probability Test
@INPROCEEDINGS{10.4108/eai.28-2-2017.152316, author={Dajun Wu}, title={Research on Robust Optimization Design Method Based on Random Probability Test}, proceedings={The 1st EAI International Conference on Multimedia Technology and Enhanced Learning}, publisher={EAI}, proceedings_a={ICMTEL}, year={2017}, month={3}, keywords={Robust design; optimization design; robust optimization design; probability statistics; random simulation test method}, doi={10.4108/eai.28-2-2017.152316} }
- Dajun Wu
Year: 2017
Research on Robust Optimization Design Method Based on Random Probability Test
ICMTEL
EAI
DOI: 10.4108/eai.28-2-2017.152316
Abstract
The modern robust design is based on the engineering model, and the design method is combined with the calculation technique and the optimization technique. In this paper, a robust optimization design method based on stochastic simulation test is proposed by combining the optimization design method with the robust design idea. Through the analysis of the robustness of product design approach established robust optimal design objective function; through the variable difference transmission, control design parameters of a differential effect on function design and keep the robustness of design solution; analysis of robust optimization design of quality characteristics of randomness, using probability theory and statistics, computing and processing by using the method of stochastic simulation test statistic characteristic of the quality of the products. In order to prove stochastic simulation test of robust optimization design method of the correctness, reliability and practicability, this paper to a secondary cylindrical gear reducer design example, according to the characteristic of the gear transmission design, of robust optimization design mathematical model is solved by using the constraint random direction method and the design results of general optimization and robust optimization design results are compared and analyzed. The results show that the robust optimization design shows that the gear transmission system anti-interference ability and good quality stability and high reliability.