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Numerical and Experimental Investigation of a Low Order Radial Turbine Model for Engine-Level Optimization of Turbocharger Design

机译:涡轮增压器设计发动机级优化低阶径向汽轮机模型的数值实验研究

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摘要

This paper presents the development and validation of a meanline model by means of numerical and experimental methods, to determine it's feasibility as an optimization tool for turbocharger matching. Using a parametric turbine model, numerical experiments were conducted accounting for variations of several key turbine design parameters and a wide operating range. The resulting dataset was used to test the accuracy of the meanline model when calibrated to a baseline design and thus evaluate it's ability of extrapolating to different designs. The loss models were examined in more detail, and a set of loss models which provided the most accurate results is presented. The meanline model was further validated experimentally using dynamometer test results of 6 turbine designs from the same parametric turbine model. The result showed that for design point and high power operation, an error of less than 3.1% and 2.0% was achieved for efficiency and mass flow parameters, respectively. This led to the conclusion that the model would be sufficiently accurate to represent design changes relevant to turbocharger matching.
机译:本文借助数值和实验方法提出了平均模型的开发和验证,以确定其作为涡轮增压器匹配的优化工具的可行性。使用参数涡轮机模型,对几个关键涡轮机设计参数的变化和宽操作范围进行了数值实验。由此产生的数据集用于测试校准到基线设计时平均模型的准确性,从而评估推断到不同设计的能力。更详细地检查了损耗模型,并提供了一组损耗模型,提供了最准确的结果。使用来自相同参数涡轮机模型的6个涡轮机设计的测力计测试结果进一步验证了平均模式。结果表明,对于设计点和高功率操作,分别为效率和质量流量参数达到小于3.1%和2.0%的误差。这导致了结论,该模型将足够准确地表示与涡轮增压器匹配相关的设计变化。

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  • 来源
    《Journal of Engineering for Gas Turbines and Power》 |2021年第10期|101008.1-101008.10|共10页
  • 作者单位

    Department of Mechanical Engineering Imperial College London London SW7 2AZ UK;

    Department of Mechanical Engineering Imperial College London London SW7 2AZ UK;

    Institute of Power Plant Technology Steam and Gas Turbines RWTH Aachen University Aachen 52074 Germany;

    Institute of Power Plant Technology Steam and Gas Turbines RWTH Aachen University Aachen 52074 Germany;

    Institute of Power Plant Technology Steam and Gas Turbines RWTH Aachen University Aachen 52074 Germany;

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