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Engine turbocharger performance prediction: One-dimensional modeling of a twin entry turbine

机译:发动机涡轮增压器性能预测:双入口涡轮的一维建模

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摘要

As the automotive industry develops technology strategies to meet increasingly stringent vehicle emission regulations, turbocharging has become the primary enabler for engine downsizing, a building block for improving fuel consumption and reduced CO_2 emissions. Engine manufacturers routinely use one-dimensional engine cycle simulation for performance and emissions prediction, and accurate engine-tur-bocharger matching is a key aspect. Turbocharger turbines are subject to the highly unsteady, pulsating flow inherent to reciprocating engines, however standard ID turbine models rely on steady state test measurements. Simplification of turbine geometry is unavoidable, especially in ID performance studies, yet this must not be taken so far that it prohibits acceptable prediction accuracy. This paper presents the geometrical effects of 1D numerical models of a twin entry turbocharger turbine under full admission pulsating flow conditions. Several turbine volute models of increasing complexity were developed and the corresponding performance predicted using a 1D compressible flow solver. The predicted mass flow rate is strongly dependent on local total state flow parameters, and higher secondary mass flow rate fluctuation was noticed as model complexity increased. Finally, a two-inlet constant cross-section model with junction tongue gave the best compromise of flow prediction accuracy and geometrical complexity.
机译:随着汽车工业制定技术战略来满足日益严格的汽车排放法规,涡轮增压已成为发动机小型化的主要推动力,它是改善燃油消耗和减少CO_2排放的基础。发动机制造商通常使用一维发动机循环仿真来进行性能和排放预测,而精确的发动机-涡轮增压器匹配是关键。涡轮增压器涡轮承受往复式发动机固有的高度不稳定的脉动流,但是标准的ID涡轮模型依赖于稳态测试测量。涡轮几何形状的简化是不可避免的,尤其是在ID性能研究中,但绝不能如此简单,以至于它妨碍了可接受的预测精度。本文介绍了双进气涡轮增压器涡轮在一维全进气脉动流条件下的一维数值模型的几何效应。开发了几种复杂程度不断提高的涡轮蜗壳模型,并使用一维可压缩流求解器预测了相应的性能。预测的质量流量很大程度上取决于局部总状态流量参数,并且随着模型复杂性的增加,会注意到较高的次级质量流量波动。最后,带有连接舌的两入口恒定横截面模型可以最大程度地折衷流量预测精度和几何复杂度。

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