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Multi-fidelity model based optimization of shaped film cooling hole and experimental validation

机译：基于多保真模型的异型膜冷却孔优化与实验验证

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摘要

An optimization framework is developed for the film cooling hole shape design to achieve highest film cooling effectiveness with affordable cost. A key to this design method is the development and applications of a multi-fidelity model (MFM) to improve the efficiency of surrogate model construction. To construct multi-fidelity model, empirical correlations from existing literature are utilized as low-fidelity data and Reynolds-Averaged Navier-Stokes (RANS) simulations provide high-fidelity data. Compared with single-fidelity surrogate models, multi-fidelity model developed in this work combines vast existing knowledge about shaped film cooling hole and three dimensional numerical simulation. As a result, the computation cost has been substantially decreased by 64.5% while accuracy is maintained with similar level, which provides a firm basis for the optimization. Considering three geometric parameters as design variables, i.e. laidback angel, lateral angle, and hole length-diameter ratio, the shaped hole is optimized with genetic algorithm (GA) combined with sequential quadratic programming (SQP) algorithm. After the optimization, an experiment campaign is further carried out to validate the optimization result using pressure sensitive paint (PSP) technology. With current multi-fidelity model, the spatially averaged film cooling effectiveness has been improved by 39% compared to the baseline, which is an already well-designed shaped hole and the improvement is also verified by experiment. This work verifies the effectiveness of current multi-fidelity model for the design and optimization of shaped film cooling hole for better performance. (C) 2018 Elsevier Ltd. All rights reserved.
机译：针对膜冷却孔形状设计开发了优化框架，以可承受的成本获得最高的膜冷却效果。这种设计方法的关键是开发和应用多保真度模型（MFM），以提高替代模型构建的效率。为了构建多保真度模型，将现有文献中的经验相关性用作低保真度数据，而雷诺平均Navier-Stokes（RANS）模拟则提供了高保真度数据。与单保真替代模型相比，本文中开发的多保真模型结合了关于成型膜冷却孔的大量现有知识和三维数值模拟。结果，计算成本已大大降低了64.5％，同时保持了相似水平的准确性，这为优化提供了坚实的基础。考虑到三个几何参数作为设计变量，即后倾角，侧向角和孔长直径比，使用遗传算法（GA）结合顺序二次规划（SQP）算法对成形孔进行了优化。优化后，将使用压敏涂料（PSP）技术进一步开展实验活动以验证优化结果。使用当前的多保真度模型，与基线相比，该空间平均的薄膜冷却效率已提高了39％，该基线是一个设计良好的异形孔，并且该改进也已通过实验进行了验证。这项工作验证了当前的多保真度模型在设计和优化异型膜冷却孔以获得更好性能方面的有效性。 （C）2018 Elsevier Ltd.保留所有权利。

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  • 作者

    Zhang Hao; Li Yifei; Chen Ziyu; Su Xinrong; Yuan Xin;

  • 作者单位

    Tsinghua Univ, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China;

    Tsinghua Univ, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China;

    Tsinghua Univ, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China;

    Tsinghua Univ, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China;

    Tsinghua Univ, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multi-fidelity model; Optimization; Film cooling effectiveness; Shaped hole; PSP technology;

    机译：多保真模型;优化;薄膜冷却效率;异型孔;PSP技术;

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