首页> 外文会议>ASME turbo expo >A BLADE RESONANCE PREDICTION USING FLUID-STRUCTURE INTERACTION CALCULATION METHOD AND COMPARISON WITH THE TEST
【24h】

A BLADE RESONANCE PREDICTION USING FLUID-STRUCTURE INTERACTION CALCULATION METHOD AND COMPARISON WITH THE TEST

机译:基于流固耦合计算的叶片共振预测及与试验的比较

获取原文

摘要

In this study, nozzle-wake resonance of a low-speed axial fan blade is numerically analyzed, and compared with the test. The numerical method is fluid-structure interaction (FSI) calculation, which combines unsteady structural FEM and unsteady CFD. Instantaneous blade surface pressure distribution is calculated by CFD, which is used as a boundary condition of unsteady FEM. Blade response is then calculated by FEM, and the deformation of the blade is transferred to CFD. Advantage of this method is that it can include the effects of real geometry, blade/vane arrangement, operating conditions, etc. Aerodynamic damping is also included. In this study commercial codes are used for both CFD and FEM.On the other hand, the authors have built a test rig of low-speed two-stage axial fan, specially designed for this study. The second stage rotor (2R hereafter) blades are intentionally designed to have a resonance of 1 st bending mode near design speed. Vibratory stress, amplitude, and unsteady surface pressure of 2R blades were measured.Comparison of measurement and calculation revealed the potential of FSI method. Though there were some discrepancies between prediction and measurement, the blade response was reasonably explained by lift fluctuation estimated from blade surface pressure.
机译:在这项研究中,对低速轴流风机叶片的喷嘴唤醒共振进行了数值分析,并与试验进行了比较。数值方法是流固耦合(FSI)计算,它结合了非稳态结构有限元和非稳态CFD。叶片瞬时表面压力分布通过CFD计算,用作不稳定FEM的边界条件。然后,通过FEM计算叶片的响应,并将叶片的变形传递给CFD。该方法的优势在于它可以包括实际几何形状,叶片/叶片布置,运行条件​​等的影响。还包括空气动力学阻尼。在本研究中,CFD和FEM均使用商业代码。 另一方面,作者建立了专门为此研究设计的低速两级轴流风机试验台。第二级转子(以下称为2R)叶片经过精心设计,使其在设计速度附近具有第一弯曲模式的共振。测量了2R叶片的振动应力,振幅和不稳定表面压力。 测量和计算的比较显示了FSI方法的潜力。尽管预测和测量之间存在一些差异,但是通过根据叶片表面压力估算的升力波动可以合理地解释叶片响应。

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