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دسته بندی:
مهندسی نرم افزار - software engineering
سال انتشار:
2014
عنوان انگلیسی مقاله:
Multi-objective optimization of double suction centrifugal pump using Kriging metamodels
ترجمه فارسی عنوان مقاله:
بهینه سازی چند هدفه از مکش دو پمپ گریز از مرکز با استفاده از مدل متا کریگینگ
منبع:
sciencedirect-Advances in Engineering Software 74 (2014) 16–26
نویسنده:
Yu Zhang a, Sanbo Hu b, Jinglai Wua, Yunqing Zhang a,⇑, Liping Chen a
چکیده انگلیسی:
This paper proposes a new multi-objective optimization method for a family of double suction centrifugal pumps with various blade shapes, using a Simulation-Kriging model-Experiment (SKE) approach. The Kriging metamodel is established to approximate the characteristic performance functions of a pump, namely, the efficiency and required net positive suction head (NPSHr). Hence, the two objectives are to maximize the efficiency and simultaneously to minimize NPSHr. The Non-dominated Sorting Genetic Algorithm II (NSGA II) and Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) have been applied to the multi-objective optimization problem, respectively. The Pareto solution set is obtained by a more effective and efficient manner of the two multi-objective optimization algorithms. A tradeoff optimal design point is selected from the Pareto solution set by means of a robust design based on Monte Carlo simulations, and the optimal solution is further compared with the value of the physical prototype test. The results show that the solution of the proposed multi-objective optimization method is in line with the experiment test Keywords: Multi-objective optimization Double suction Centrifugal pumps Kriging Metamodel Robust design
قیمت: رایگان
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