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A Novel Computational Model for Tilting Pad Journal Bearings with Soft Pivot Stiffnesses

机译:具有软枢轴刚度的轴瓦滑动轴承的新型计算模型

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摘要

A novel tilting pad journal bearing model including pivot flexibility as well as temporal fluid inertia effects on the thin film fluid flow aims to accurately predict the bearing forced performance. The predictive model also accounts for the thermal energy transport effects in a TPJB. A Fortran program with an Excel GUI models TPJBs and delivers predictions of the bearing static and dynamic forced performance. The calculation algorithm uses a Newton-Raphson procedure for successful iterations on the equilibrium pad radial and transverse displacements and journal center displacements, even for bearings pads with very soft pivots.The predictive model accounts for the effect of film temperature on the operating bearing and pad clearances by calculating the thermal expansion of the journal and pad surfaces. The pad inlet thermal mixing coefficient (lambda) influences moderately the predicted fluid film temperature field.Pad pivot flexibility decreases significantly and dominates the bearing stiffness and damping coefficients when the pivot stiffness is lower than 10% of the fluid film stiffness coefficients (with rigid pivots). Pivot flexibility has a more pronounced effect on reducing the bearing damping coefficients than the stiffness coefficients. Pad pivot flexibility may still affect the bearing behavior at a light load condition for a bearing with a large pad preload.Pad pivot flexibility, as well as the fluid inertia and the pads? mass and mass moment of inertia, could influence the bearing impedance coefficients, in particular at high whirl frequencies. The stiffness and damping coefficients of a TPJB increase with a reduction in the operating bearing and pad clearances.The work delivers a predictive tool benchmarked against a number of experimental results for test bearings available in the recent literature. The static and dynamic forced performance characteristics of actual TPJBs can not be accurately predicted unless their pad flexibility and pivot flexibility, fluid film temperature, pad inlet thermal mixing coefficient, operating bearing and pad clearances, among others are well known in advance. However, the extensive archival literature showcasing test procedures and experimental results for TPJBs does not report the above parameters. Thus, reasonable assumptions on the magnitude of certain elusive parameters for use in the predictive TPJB model are necessary.
机译:一种新颖的可倾瓦垫轴颈轴承模型,包括枢轴柔韧性以及瞬时流体惯性对薄膜流体流动的影响,旨在准确预测轴承的受力性能。预测模型还考虑了TPJB中的热能传输效应。具有Excel GUI的Fortran程序可对TPJB建模,并提供轴承静态和动态强制性能的预测。该算法使用牛顿-拉夫森(Newton-Raphson)程序对平衡垫的径向和横向位移以及轴颈中心位移进行了成功的迭代,即使对于枢轴非常软的轴承垫也是如此。预测模型考虑了薄膜温度对工作轴承和垫的影响通过计算轴颈和轴瓦表面的热膨胀来确定间隙。轴瓦入口热混合系数(lambda)对预测的液膜温度场有适度的影响。当轴枢刚度低于液膜刚度系数的10%(带有刚性轴)时,板枢轴的挠性会显着降低并支配轴承刚度和阻尼系数)。与刚度系数相比,枢轴柔韧性在减小轴承阻尼系数方面具有更明显的作用。对于具有较大轴瓦预紧力的轴承,轴瓦挠性仍然会在轻载条件下影响轴承性能。轴瓦挠性以及流体惯性和轴瓦?质量和质量惯性矩可能会影响轴承阻抗系数,特别是在高涡旋频率下。 TPJB的刚度和阻尼系数随着工作轴承和衬套间隙的减小而增加。这项工作提供了一种预测工具,以最新文献中的测试轴承的大量实验结果为基准。除非预先知道它们的垫挠性和枢轴挠性,液膜温度,垫入口热混合系数,工作轴承和垫间隙,否则无法准确预测实际TPJB的静态和动态强迫性能特征。但是,显示TPJB的测试程序和实验结果的大量档案文献并未报告上述参数。因此,对于用于预测TPJB模型的某些不确定参数的大小的合理假设是必要的。

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    Tao Yujiao 1988-;

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  • 年度 2013
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