首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Performance prediction of transonic axial multistage compressor based on one-dimensional meanline method
【24h】

Performance prediction of transonic axial multistage compressor based on one-dimensional meanline method

机译:基于一维描述方法的跨音轴向多级压缩机的性能预测

获取原文
获取原文并翻译 | 示例
           

摘要

This study proposes a 1D meanline program for the modeling of modern transonic axial multistage compressors. In this method, an improved blockage factor model is proposed. Work-done factor that varies with the compressor performance conditions is added in this program, and at the same time a notional blockage factor is kept. The coefficient of deviation angle model is tuned according to experimental data. In addition, two surge methods that originated from different sources are chosen to add in and compare with the new method called mass flow separation method. The salient issues presented here deal first with the construction of the compressor program. Three well-documented National Aerodynamics and Space Administration (NASA) axial transonic compressors are calculated, and the speedlines and aerodynamic parameters are compared with the experimental data to verify the reliability and robustness of the proposed method. Results show that consistent agreement can be obtained with such a performance prediction program. It was also apparent that the two common methods of surge prediction, which rely upon either stage or overall characteristic gradients, gave less agreement than the method called mass flow separation method.
机译:本研究提出了一种用于现代跨音轴流式压缩机的建模的1D意义计划。在该方法中,提出了一种改进的阻塞因子模型。在该程序中添加了随着压缩机性能条件而变化的工作完成因素,同时保持了一个值堵塞因子。根据实验数据调整偏差角模型系数。此外,选择源自不同来源的两个浪涌方法,以添加和比较,并与称为质量流分离方法的新方法进行比较。在这里展示了突出问题首先通过构建压缩机程序。三种记录良好的国家空气动力学和空间管理(NASA)轴向跨音压缩机进行了计算,并将速度和空气动力学参数与实验数据进行比较,以验证所提出的方法的可靠性和鲁棒性。结果表明,通过这种性能预测计划可以获得一致的协议。显而易见的是,依赖于任一阶段或整体特征梯度的两个普通浪涌预测方法比称为质量流量分离方法的方法更少。

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