Multi-disciplinary design optimization of incubation apparatus based on response surface methodand genetic algorithm

WANG Zhong-zhou
（Suzhou Institute of Biomedical Engineering and Technology， Suzhou 215163， China）

Abstract： Aiming that the constant temperature incubation apparatus can't meet the design requirements of the light weight and temperature uniformity，multi-disciplinary design optimization was conducted by using ANSYS and Matlab software.With the target area average temperature and temperature variance for the design goal，the experimental sampling data was obtained and the response surface model（RSM） was established by using orthogonal experimental design through the finite element analysis. On the basis of the RSM model，lightweight design was carried on by using genetic algorithm（GA）. The research results indicate that the response surface model makes an accurate simulation of a finite element model and can be applied in optimization design. Genetic algorithm makes an effective solution to multi-objective optimization problems. It provides solutions for multi-disciplinary design optimization problems.
Key words： constant temperature incubation apparatus； response surface model（RSM）； genetic algorithm（GA）； multi-disciplinary design optimization（MDO）