主催: 一般社団法人 日本機械学会
会議名: 第12回最適化シンポジウム2016
開催日: 2016/12/06 - 2016/12/07
Shape optimization of a traditional ejector with a high flow rate ratio of suction and driving is carried out with CFD in order to maximize the ejector efficiency. Three different commercial optimization algorithms are then evaluated: a genetic algorithm, a hybrid algorithm of global and local exploration, and a combined algorithm of hybrid and self-exploration. It turned out that the combined algorithm provided the best shape among the three algorithms with no more than 100 cases of CFD calculation.