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

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Abstract

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.

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Acknowledgments

This work is supported by China Postdoctoral Science Foundation(Grant No. 2014 M562281), National Natural Science Foundation of China (Grant No. 51205315) and Aerospace Technology Support Foundation(2014-HT-XGD).

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Authors and Affiliations

  1. Department of Engineering Mechanics, Northwestern Polytechnical University, Xi’an, People’s Republic of China

    Mengchuang Zhang, Wenxuan Gou, Lei Li, Fan Yang & Zhufeng Yue

  2. College of Mechanical Engineering, Chongqing University, Chongqing, People’s Republic of China

    Lei Li

  3. Chongqing Jiangjin Shipbuilding Industry Co. Ltd., Chongqing, People’s Republic of China

    Lei Li

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  1. Mengchuang Zhang
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  2. Wenxuan Gou
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  3. Lei Li
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  4. Fan Yang
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  5. Zhufeng Yue
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Correspondence to Mengchuang Zhang or Lei Li.

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Zhang, M., Gou, W., Li, L. et al. Multidisciplinary design and multi-objective optimization on guide fins of twin-web disk using Kriging surrogate model. Struct Multidisc Optim 55, 361–373 (2017). https://doi.org/10.1007/s00158-016-1488-0

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  • DOI: https://doi.org/10.1007/s00158-016-1488-0

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