数值旋转动力学分析中的混合旋流模式

Konrad Juethner, T. Rose, J. Kumar, Jianming Cao, Gregory Savela, Chris J. Zuck, P. Mathuria
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摘要

在转子系统的设计阶段,旋涡类型的识别具有十分重要的意义。前向旋转(FW)临界速度在自旋上升过程中通过谐波峰值表现出来。反向旋转(BW)模式是动态安静的,但产生循环应力,因此有助于材料疲劳。FW和BW可以在所谓的混合漩涡(MW)模式下同时发生,这需要设计团队进行更多的调查审查。虽然纯FW或BW模式可以通过在任何一个转子位置的一对接近探头来识别,但需要沿着转子轴进行许多测量来排除或确认MW。由于测量位置和实验的数量存在实际和经济限制,因此本文的目的是提供指导性的分析见解。提出的方法是利用转子系统的有限元模型克服实验限制,从其每个复值特征向量计算其节点旋涡分布,并将所得旋涡量映射回所有有限元网格。这提供了深刻的表面和体积诊断,以增加实验转子验证。在简化的示例模型上练习这种技术揭示了意想不到的洞察力,即FW和BW模式相互影响,并在比预期更大的转子速度范围内混合。因此,在Campbell图中,MW从一个难以捉摸的现象变成了一个常见的现象,以至于辨别纯粹的FW和BW模态振型变得越来越具有挑战性,特别是在更高的模态频率下。这项工作最令人惊讶和真正出乎意料的结论是,这里考虑的所有FW/BW对都不是相交的,而是在更深入的研究中转向的。而且,在Campbell图的转向过渡期间,FW转变为BW,反之亦然,它们的稳定性图和根位点通过表明它们之间的稳定性交易来强调这种转变。从实际设计和模拟的角度来看,模型从一种旋涡类型过渡到另一种类型的能力是重要的,因为工程责任是在准确的预测和适当的设计之间分担的。正如这项工作所示,数值和基于特征向量的跟踪算法在低转子速度分辨率下倾向于交叉而不是转向,并且可以产生可信但不正确的答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed Whirl Modes in Numerical Rotordynamics Analysis
During the design phase of a rotor system, the identification of whirl type carries much significance. Forward whirl (FW) critical speeds reveal themselves by harmonic peaks during spin-up. Backward whirl (BW) modes are dynamically quiet, but produce cyclic stresses and therefore contribute to material fatigue. The realization, that FW and BW can occur simultaneously in so-called mixed whirl (MW) modes, demands greater investigative scrutiny from the design team. While pure FW or BW modes can be identified by one pair of proximity probes at any single rotor location, many measurements along the rotor axis are needed to either rule out or confirm MW. Since there are practical and economic limits to the number of measurement locations and experiments, the purpose of this paper is to deliver guiding analytic insight. The proposed approach is to overcome experimental limitations by using a finite element (FE) model of the rotor system, compute its nodal whirl distributions from each of its complex-valued eigenvectors, and map the resulting whirl quantities back onto all FE grids. This delivers insightful surface and volume diagnostics to augment experimental rotor validation. Exercising this technique on simplified example models reveals unexpected insight in that FW and BW modes influence one another and become mixed across a greater rotor speed range than anticipated. Therefore, MW turns from an elusive phenomenon into a common occurrence throughout the Campbell diagram, to a point where it becomes increasingly challenging to discern pure FW and BW mode shapes — particularly, at higher modal frequencies. The most surprising and truly unexpected conclusion of this work is that all of the FW/BW pairs considered here do not intersect but veer upon closer investigation. And, as FW transforms into BW and vice versa during the veering transition in the Campbell diagram, their stability maps and root loci accentuate this shift by indicating that stability is traded between them. A mode’s ability to transition from one whirl type to another is significant from the practical design and simulation perspectives, in that engineering responsibility is shared between accurate predictions and appropriate design. As shown in this work, both numerical and eigenvector-based tracking algorithms favor intersection over veering at low rotor speed resolution and can produce believable but incorrect answers.
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