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Integration of meanline and one-dimensional methods for prediction of pulsating performance of a turbocharger turbine

机译:均值线和一维方法的集成预测涡轮增压器涡轮的脉动性能

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摘要

Stringent emission regulations are driving engine manufacturers to increase investment into enabling technologies to achieve better specific fuel consumption, thermal efficiency and most importantly carbon reduction. Engine downsizing is seen as a key enabler to successfully achieve all of these requirements. Boosting through turbocharging is widely regarded as one of the most promising technologies for engine downsizing. However, the wide range of engine speeds and loads requires enhanced quality of engine-turbocharger matching, compared to the conventional approach which considers only the full load condition. Thus, development of computational models capable of predicting the unsteady behaviour of a turbocharger turbine is crucial to the overall matching process. A purely one-dimensional (1D) turbine model is capable of good unsteady swallowing capacity predictions, however it has not been fully exploited to predict instantaneous turbine power. On the contrary, meanline models (zero-dimensional) are regarded as a good tool to determine turbine efficiency in steady state but they do not include any information about the pressure wave action occurring within the turbine. This paper explores an alternative methodology to predict instantaneous turbine power and swallowing capacity by integrating one-dimensional and meanline models. A single entry mixed-flow turbine is modelled using a 1D gas dynamic code to solve the unsteady flow state in the volute, consequently used as the input for a meanline model to evaluate the instantaneous turbine power. The key in the effectiveness of this methodology relies on the synchronisation of the flow information of different time scales. The model is validated against experimental data generated at Imperial College London under steady and pulsating flow conditions. Three rotational speeds (27.0, 43.0, and 53.7 rps/k~(1/2)) and four pulse flow frequencies (20 to 80 Hz) are considered for performance validation. In addition to the turbine performance, the common level of unsteadiness is also compared based on Strouhal number evaluations. Furthermore, comparisons are made with the quasi-steady assumption in order to understand the strengths and weaknesses of the current method for effective unsteady turbine performance prediction.
机译:严格的排放法规正在推动发动机制造商增加对使能技术的投资,以实现更好的单位燃料消耗,热效率以及最重要的是减少碳排放。缩小发动机尺寸被视为成功实现所有这些要求的关键因素。通过涡轮增压进行增压被广泛认为是缩小发动机尺寸最有希望的技术之一。但是,与仅考虑满载条件的传统方法相比,宽范围的发动机转速和负载需要提高发动机-涡轮增压器匹配的质量。因此,开发能够预测涡轮增压器涡轮的非稳态行为的计算模型对于整个匹配过程至关重要。纯粹的一维(1D)涡轮机模型能够很好地预测不稳定的吞咽能力,但是尚未完全用于预测瞬时涡轮机功率。相反,均值线模型(零维)被视为确定稳态时涡轮效率的好工具,但它们不包含有关涡轮内发生的压力波作用的任何信息。本文探索了一种通过整合一维模型和均值模型来预测瞬时涡轮功率和吞咽能力的替代方法。使用一维气体动力学代码对单入口混流式涡轮机进行建模,以解决蜗壳中的非稳态流动状态,因此将其用作均线模型的输入,以评估瞬时涡轮机功率。该方法的有效性的关键取决于不同时标的流信息的同步。该模型根据伦敦帝国理工学院在稳定和脉动流量条件下产生的实验数据进行了验证。为了验证性能,考虑了三个转速(27.0、43.0和53.7 rps / k〜(1/2))和四个脉冲流频率(20至80 Hz)。除了涡轮机的性能外,还基于Strouhal数评估结果来比较常见的不稳定程度。此外,与准稳态假设进行了比较,以了解当前方法对有效非稳态涡轮性能预测的优缺点。

著录项

  • 来源
    《Energy Conversion & Management》 |2014年第5期|270-281|共12页
  • 作者单位

    UTM Center for Low Carbon Transport in Cooperation with Imperial College London, Universiti Teknologi Malaysia, 81310 Johor, Malaysia;

    UTM Center for Low Carbon Transport in Cooperation with Imperial College London, Universiti Teknologi Malaysia, 81310 Johor, Malaysia;

    School of Mechanical and Aerospace Engineering, Nanyang Technological University, N3.2-02-32, 50 Nanyang Avenue, Singapore 639798, Singapore;

    Dept. of Mechanical Engineering, Imperial College London, London SW7 2BX, UK;

    Dept. of Mechanical Engineering, Imperial College London, London SW7 2BX, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Turbocharger; Turbine; One-dimensional; Meanline; Unsteady flow; Modelling;

    机译:涡轮增压器;涡轮;一维中线;流量不稳定造型;

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