An analytical user-friendly methodology to transform compressor and turbine supplier characterization maps dedicated to 1D engine simulation: modelling of turbocharger heat transfer and friction losses
An analytical user-friendly methodology to transform compressor and turbine supplier characterization maps dedicated to 1D engine simulation: modelling of turbocharger heat transfer and friction losses
复制标题
一种用户友好的分析方法，用于转换专用于一维发动机仿真的压缩机和涡轮供应商特性图：涡轮增压器传热和摩擦损失的建模
DOI：
10.1016/j.applthermaleng.2022.119812
复制
发表时间：
2022
影响因子：
6.4
通讯作者：
O. Davodet
中科院分区：
文献类型：
--
作者：
F. Prevost;Y. Le Moual;A. Maiboom;X. Tauxia;T. Payet;O. Davodet
可用的涡轮增压器特性图通常在气体支架上获得，其中涡轮机进气温度高，导致热传递影响压缩机和涡轮机。然后必须进行校正，以考虑传热并计算产生或消耗的真实的功。进行实验活动，以表征两种不同涡轮增压器上的传热和摩擦损失。然后，半经验的相关性开发最小化的平方误差的总和的多元回归模型化这两种现象。与现有的方法相比，这些相关性最大限度地减少了所需的输入数据：只需要供应商的地图，而不需要额外的测试或校准。在压气机出口温度计算的置信区间+/−3 °C上观察到10%的增益（从42.2%增加到53%），此外涡轮机出口温度+/−10 °C区间也提高了约20%。在使用两种不同涡轮增压器的两种发动机1D模型上观察到这些改进。第二台发动机的涡轮增压器不参与建立的相关性，然后证明了所提出的方法的良好的可预测性。
Available turbocharger characterization maps are usually obtained on a gas stand where the turbine intake temperature is high, resulting in heat transfer affecting both the compressor and turbine. A correction is then mandatory to take into account heat transfer and calculate the real amount of work produced or consumed.An experimental campaign is conducted to characterize heat transfer and friction losses on two different turbochargers. Then, semi-empirical correlations are developed minimizing the sum of square errors of a multiple regression to modelize these two phenomena. Compared to existing methodologies, these correlations minimize the requested input data: only the supplier maps are required whereas no additional test or calibration is needed.The methodology to transform efficiencies and model heat transfer is presented. A gain of 10 % is observed on the confidence interval +/−3 °C on the compressor outlet temperature calculation (passing from 42.2 to 53 %), beside the turbine outlet temperature +/−10 °C interval is improved by around 20 %. These improvements are observed on two engine 1D models using two different turbochargers. The second engine's turbocharger is not involved in the establishment of the correlations and then demonstrates the good predictability of the proposed methodology.