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A comparison of techniques for identifying the configuration state of statically indeterminate rotor bearing systems

机译:比较确定超静定转子轴承系统结构状态的技术

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Turbomachinery rotors are frequently supported on several hydrodynamic bearings and so are statically indeterminate. In such cases, the relative locations of the bearing centres (viz. the system configuration state) affect the bearing reaction forces and hence their stiffness and damping properties, thereby significantly influencing the vibration behaviour of the rotor bearing system. Since this configuration state may differ from its value at time of installation, due to thermal effects and/or foundation settlement, it would be useful to identify its value under operating conditions. This paper illustrates how this can be done in principle, regardless of the unbalance, by measuring the locations of the rotor journals relative to their respective bearing housings at any speed at which the system has reached steady state operating conditions, provided one has good models of the rotor and the foundation. Two identification procedures are compared. Both methods rely, to varying degrees, on using the Reynolds equation for hydrodynamic lubrication to obtain the bearing reaction forces. The first procedure uses the Reynolds equation to evaluate both the magnitudes and directions of the forces (the 'magnitude and direction' or MAD method), whereas the second procedure uses the Reynolds equation to evaluate only the directions of the forces (the 'direction only' or DO method). Numerical experiments on a flexibly supported statically indeterminate four bearing flexible rotor prove that both the MAD and DO identification procedures are sound in principle, being able to identify the locations of the two inboard bearings relative to the two outboard bearings to within 0.1 μm assuming seven-digit accuracy in journal orbit eccentricity measurements. On the other hand, three-digit measurement accuracy, felt to be the best accuracy practically achievable, restricts identification of the bearing locations to within 10 μm, with somewhat better identification being achieved with the MAD procedure. Such identification accuracy presupposes that the Reynolds equation correctly predicts the bearing reaction forces and could be in error owing to the temperature dependence of the bearing clearance, the assumption of a mean lubricant viscosity and the uncertainty of the cavitation boundaries. It is shown that error in lubricant viscosity may introduce significant errors into the identification achievable with the MAD procedure, but has no effect on that achievable with the DO procedure; and error in clearance introduces more error into the identification achievable with the MAD procedure than the DO procedure. Identification errors due to assumed cavitation conditions still need to be addressed.
机译:涡轮机械转子通常由多个流体动力轴承支撑,因此在静态方面不确定。在这种情况下,轴承中心的相对位置(即系统配置状态)会影响轴承反作用力,进而影响其刚度和阻尼特性,从而显着影响转子轴承系统的振动性能。由于该配置状态可能由于热效应和/或基础沉降而与安装时的值不同,因此在运行条件下识别其值将很有用。本文说明了在不考虑不平衡的情况下,如何通过在系统达到稳态运行条件的任何速度下测量转子轴颈相对于其各自轴承座的位置,原则上可以做到的,只要该模型具有以下方面的良好模型:转子和基础。比较了两种识别程序。两种方法在不同程度上都依赖于使用雷诺方程进行流体动力润滑以获得轴承反作用力。第一个过程使用雷诺方程来评估力的大小和方向(“幅度和方向”或MAD方法),而第二个过程使用雷诺方程仅评估力的方向(“仅方向” '或DO方法)。通过对挠性支撑的超静定四轴承挠性转子进行的数值实验证明,MAD和DO识别程序在原理上都是合理的,假设7个,则能够识别两个内侧轴承相对于两个外侧轴承的位置在0.1μm之内日志轨道偏心率测量中的数字精度。另一方面,三位数的测量精度被认为是实际上可以达到的最高精度,将轴承位置的识别限制在10μm以内,而使用MAD程序可以实现更好的识别。这种识别精度的前提是,雷诺方程能够正确预测轴承反作用力,并且由于轴承游隙的温度依赖性,平均润滑剂粘度的假设以及气穴边界的不确定性而可能导致误差。结果表明,润滑油粘度的误差可能会给使用MAD程序可实现的识别带来重大误差,但对使用DO程序可实现的识别则没有影响。与清除程序相比,清除错误将更多的错误引入到MAD程序可实现的识别中。由于假定的气蚀条件造成的识别错误仍然需要解决。

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