Abstract
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.
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