Multidisciplinary design and multi-objective optimization on guide fins of twin-web disk using Kriging surrogate model

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• 作者：Mengchuang Zhang ; Wenxuan Gou ; Lei Li…
• 关键词：Twin ; web disk (TWD) with guide fins ; Multidisciplinary design and optimization (MDO) ; Kriging surrogate model ; Multi ; objective optimization problem (MOP)
• 刊名：Structural and Multidisciplinary Optimization
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：55
• 期：1
• 页码：361-373
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Theoretical and Applied Mechanics; Computational Mathematics and Numerical Analysis; Engineering Design;
• 出版者：Springer Berlin Heidelberg
• ISSN：1615-1488
• 卷排序：55

文摘

With higher operation temperature required by the advanced aero-turbine, the conventional single web turbine disk (SWD) has reached its limits. At this circumstance, a twin-web disk (TWD) has been proposed as a breakthrough by J Eng Gas Turbines Power Trans ASME 124:298–302, (2002) for its improvements in heat transfer, structural strength and weight loss. However, this novel structure needs new cooling process which brings problems with pressure loss. Fins are designed in this paper in order to increase the outlet pressure and enhance the heat transfer, at the same time demonstrated by the computational fluid dynamics (CFD) analysis. Then, the multidisciplinary design of optimization (MDO) has been performed to find a proper shape and layout of the fins with the minimum stress and maximum outlet pressure. A Kriging surrogate model is also used to accelerate the optimization pace. Because it is a typical multi-objective optimization problem (MOP), the Pareto Front set is obtained in this paper. The results show that the TWD with fins exhibits a better performance in heat transfer and outlet pressure than the one without fins. This structure would be a future trend in TWD design.