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Identification of rotordynamic forces in a flexible rotor system using magnetic bearings.

机译:使用电磁轴承识别柔性转子系统中的转子动力。

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摘要

Methods are presented for parameter identification of an annular gas seal on a flexible-rotor test rig. Dynamic loads are applied by magnetic bearings (MBs) that support the rotor. MB forces are measured using fiber-optic strain gauges that are bonded to the poles of the MBs. In addition to force and position measurements, a finite element (FE) rotor model is required for the identification algorithms. The FE rotor model matches free-free characteristics of the test rotor. The addition of smooth air seals to the system introduces stiffness and damping terms for identification that are representative of reaction forces in turbomachines. Tests are performed to experimentally determine seal stiffness and damping coefficients for different running speeds and preswirl conditions. Stiffness and damping coefficients are determined using a frequency domain identification method. This method uses an iterative approach to minimize error between theoretical and experimental transfer functions. Several time domain approaches are also considered; however, these approaches do not produce valid identification results. Stiffness coefficients are measured using static test results and an MB current and position based model. Test results produce seal coefficients with low uncertainties for the frequency domain identification method. Static test uncertainties are an order of magnitude larger, and time domain attempts fail to produce seal coefficient measurements.; In addition to the primary identification research, an investigation of the relationships between MB force, strain, and magnetic field is conducted. The magnetic field of an MB is modeled using commercial FE software. The magnetic field model is used to predict strain measurements for quasi-static test conditions. The strain predictions are compared with experimental strain measurements. Strain predictions agree with experimental measurements, although strain is typically over-predicted.
机译:提出了用于在挠性转子试验台上对环形气密封件进行参数识别的方法。动载荷由支撑转子的电磁轴承(MBs)施加。 MB力是使用结合到MB极上的光纤应变仪测量的。除力和位置测量外,识别算法还需要有限元(FE)转子模型。 FE转子模型匹配测试转子的自由特性。系统中增加了平滑的空气密封件,从而引入了用于识别的刚度和阻尼项,这些项代表了涡轮机械中的反作用力。进行测试以通过实验确定不同运行速度和预旋流条件下的密封刚度和阻尼系数。使用频域识别方法确定刚度和阻尼系数。该方法使用迭代方法来最小化理论和实验传递函数之间的误差。还考虑了几种时域方法。但是,这些方法不能产生有效的识别结果。使用静态测试结果以及基于MB电流和位置的模型测量刚度系数。测试结果为频域识别方法产生了具有低不确定性的密封系数。静态测试不确定性要大一个数量级,并且时域尝试无法产生密封系数测量结果。除了主要的识别研究外,还对MB力,应变和磁场之间的关系进行了研究。 MB的磁场是使用商业FE软件建模的。磁场模型用于预测准静态测试条件下的应变测量。将应变预测值与实验应变测量值进行比较。应变预测与实验测量结果吻合,尽管应变通常被过度预测。

著录项

  • 作者

    Zutavern, Zachary Scott.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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