Optimal Grouping and Arrangement Scheme of Fan Blades Based on Multi-objective Optimization Model
The indicators for measuring the quality of a single fan blade structure of a certain machinery include two parameter:"mass"and"rotational frequency",In order to assemble the entire fan reasonably,it is necessary to minimize the mass difference between adjacent groups of fan blades and maximize the frequency difference between adjacent blades.Firstly,a mass grouping model with single objective optimization is constructed,and then a recursive dynamic planning algorithm is introduced to minimize the mass difference between adjacent groups of fan blades.At the same time,considering the influence of rotational frequency,a mass grouping model with multi-objective optimization is established,and the dynamic weight linear weighting method is used,by comparing the maximum mass difference between adjacent groups of fan blades and maximum frequency difference between adjacent blades under different weights,it is found that when the weights of target A and target B are both 0.5,the scheme provided by the model has the best effect.
国家科技期刊平台
NSTL
万方数据
维普
