用于径向涡轮增压器性能图初级预测的改进模型

Mohamed Amine El Hameur, Mahfoudh Cerdoun, L. Tarabet
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引用次数: 0

摘要

在当代,深入了解涡轮增压器径向涡轮的性能特征在发动机开发阶段证明是非常有价值的,可以提高计算代码的预测能力,增强发动机与涡轮增压器匹配的关键过程。这项研究提供了两个精确而直接的分析功能,旨在生成涡轮增压器涡轮的综合性能图。通过对已有的分析函数进行精细调整,引入一个创造性的乘法因子,使数值计算与实验数据保持一致,从而预测涡轮的膨胀比。此外,第二个分析函数通过建立涡轮机和压缩机图之间的功率平衡方程来预测涡轮机的热机械效率。所开发模型的结果与现有方法在两个不同转速的涡轮增压器上进行了比较。此外,还进行了一项敏感性分析,旨在检测影响我们所开发模型的最重要因素,同时探索不同热力学参数的可能有效范围。结果表明,这两个函数能可靠地估计涡轮性能,最大均方根误差、R2 和平均绝对百分比误差指数分别为 9.47%、0.993 和 9.03%,效率预测分别为 4.42%、0.612 和 19.78%。基于涡轮增压器边界有限的几何和热力学参数这一先决条件,该新型模型提高了仿真精度,同时保留了用户友好性和鲁棒性。最后,所提模型的主要优点是其适应性强,可在计算代码、涡轮机械优化策略以及设计和性能评估中实施,解决了涡轮增压器制造商很少提供原始涡轮图的情况。
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An improved model for primary prediction of performance map for turbocharger radial turbine
In the contemporary landscape, possessing an intricate understanding of the performance characteristics of turbocharger radial turbine proves invaluable during engine development phases, to improve predictive capabilities of calculation codes and enhance the critical process of matching engines with turbochargers. This research deals with offering two precise yet straightforward analytical functions intended to generate comprehensive performance maps of turbocharger turbines. This is achieved through a refined adjustment of a preexisting analytical function, after introducing an inventive multiplication factor that aligns numerical calculations with experimental data to predict the turbine’s expansion ratio. Besides, a second analytical function forecasts the turbine’s thermo-mechanical efficiency by establishing a power balance equation between the turbine and supplied compressor map. The outcome of the developed model is compared with existing method on two distinct turbochargers, encompassing various rotational speeds. Additionally, a sensitive analysis aiming to detect the most important factors affecting our developed model while exploring it possible validity range for different thermodynamic parameters. The results indicate that the two functions yield reliable estimations of turbine performance, with maximum; root mean square error, R2, and mean absolute percentage error indices find around 9.47%, 0.993, and 9.03% for the turbine expansion ratio, and about 4.42%, 0.612, and 19.78% for efficiency prediction. This novel model enhances simulation accuracy while preserving user-friendliness and robustness based on the prerequisite of limited geometric and thermodynamic parameters at the turbocharger boundaries. Finally, the main advantages of the proposed model is its adaptability for the implementation in calculation codes, turbomachinery optimization strategies and assessments of the design and performance, addressing scenarios where the original turbine maps are rarely provided by turbocharger manufacturers.
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