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A Model Reduction Method for Bladed Disks With Large Geometric Mistiming Using a Partially Reduced Intermediate System Model

机译:使用部分减少的中间系统模型进行大型几何误区的叶片磁盘模型减少方法

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摘要

Reduced order models (ROMs) are widely used to enable efficient simulation of mistimed bladed disks. ROMs based on projecting the system dynamics into a subspace spanned by the modes of the tuned structure work well for small amounts of mistiming. When presented with large mistuning, including changes of geometry and number of finite element mesh nodes, advanced methods such as the pristine-rogue-interface modal expansion (PRIME) are necessary. PRIME builds a reduced model from two full cyclic symmetric analyses, one for the nominal and one for the modified type of sector. In this paper, a new reduced order model suitable for large mistuning with arbitrary mesh modifications is presented. It achieves higher accuracy than PRIME, while saving approximately 25% computational effort during the reduction process, when using the same number of cyclic modes. The new method gains its efficiency by recognizing that large modifications from damage or repair are unlikely to be exactly the same for multiple blades. It works by building a partially reduced intermediate model: All nominal sectors are reduced using cyclic modes of the tuned structure. The single modified sector is kept as the full model. For this reason, the new reduction method is called partially reduced intermediate system model (PRISM) method. The accuracy of the PRISM method is demonstrated on an axial compressor blisk and an academic blisk geometiy.
机译:减少的订单模型(ROM)被广泛用于实现误读叶片磁盘的有效模拟。基于将系统动力学投射到由调谐结构模式跨越的子空间中的roms,适用于少量缺陷。当呈现大雾时,包括几何形状和有限元网格节点的变化,需要高级方法,例如原始流氓接口模态扩展(PRIME)是必要的。 Prime从两个完整的循环对称分析中建立了一种缩小的模型,一个用于标称的标称和一个用于改进类型的扇区。本文提出了一种新的减少阶阶模型,适用于具有任意网格修改的大型迷雾。它比素数更高的精度,同时使用相同数量的循环模式时,在减少过程中节省大约25%的计算工作。新方法通过识别出从损坏或修复的大型修改不太可能对多个刀片完全相同而获得效率。它通过构建部分减少的中间模型来起作用:使用调谐结构的循环模式来减少所有标称扇区。单个修改的扇区保持为完整模型。因此,新的减少方法称为部分减少的中间系统模型(棱镜)方法。棱镜方法的准确性在轴向压缩机眨眼和学术眨眼上进行了说明。

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  • 来源
    《Journal of Engineering for Gas Turbines and Power》 |2021年第7期|071031.1-071031.6|共6页
  • 作者单位

    Institute of Dynamics and Vibration Research Leibniz University Hannover Garbsen 30823 Germany;

    Institute of Dynamics and Vibration Research Leibniz University Hannover Garbsen 30823 Germany;

    Institute of Dynamics and Vibration Research Leibniz University Hannover Garbsen 30823 Germany;

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