首页> 外文期刊>Energy >A reduced-order model of twin-entry nozzleless radial turbine based on flow characteristics
【24h】

A reduced-order model of twin-entry nozzleless radial turbine based on flow characteristics

机译:基于流动特性的双入口下径径向涡轮机的减小阶模型

获取原文
获取原文并翻译 | 示例
           

摘要

Twin-entry radial turbine has evident advantages on energy recovery of internal combustion engine because of better utilization of exhaust pulse energy. One-dimensional performance prediction plays an important role in automobile industry because of the cost-effective feature. However, as twin-entry turbine is confronted by out-of-phase pulses, to capture the flow distortion by twin-entry turbine model is challenging, especially under partial admission conditions. This paper establishes a reduced-order parallel-rotor model for performance prediction of twin-entry nozzleless radial turbine based on internal flow characteristics. Firstly, twin-entry turbine experiment and 3D simulation are applied to analyze the different flow features under partial admission conditions. The flow distortions in the spanwise and circumferential directions are both demonstrated. Based on these flow characteristics, a reduced-order twin-entry turbine model with parallel rotor passages is established for predicting the rotor at distorted flow field. Finally, the model is carefully validated against the results of CFD. The results show that satisfied consistency can be obtained and the maximum discrepancy of turbine performance is 3.8% and the performance difference and flow distortion under partial admissions can be captured, thus prove the credibility of the model. This investigation provides a reliable methodology for performance prediction and behavior analysis of twin-entry turbine.
机译:由于更好地利用排气脉冲能量,双进入径向涡轮机对内燃机的能量回收具有明显的优点。一维性能预测由于具有成本效益的特征,在汽车行业中起着重要作用。然而,由于双进涡轮机面对不相脉冲,以捕获双入口涡轮机模型的流动变形是具有挑战性的,特别是在部分入院条件下。本文建立了基于内部流动特性的双入口无出径向涡轮机性能预测的阶数平行转子模型。首先,应用双进涡轮机实验和3D仿真来分析部分入院条件下的不同流动特征。始线和圆周方向上的流动失真均展示。基于这些流动特性,建立具有平行转子通道的依次阶双入口涡轮机模型,用于预测变形流场的转子。最后,仔细验证了该模型的CFD结果。结果表明,可以获得满意的一致性,并且涡轮性能的最大差异是3.8%,可以捕获部分录取下的性能差异和流动失真,从而证明了模型的可信度。本研究为双入口涡轮机的性能预测和行为分析提供了可靠的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号