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Comparison of the Sound Power Levels of an Aerodynamically Designed EGV and a State-of-the-Art EGV
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作者 Andreas Marn Thorsten Selic +3 位作者 Martin Hoeger Dominik Broszat Florian Schonleitner Franz Heitmeir 《Journal of Energy and Power Engineering》 2016年第9期566-579,共14页
Within previous EU projects, possible modifications to the engine components have been investigated, that would allow for an optimised aerodynamic or acoustic design of the EGV (exit guide vanes) of the TEC (turbin... Within previous EU projects, possible modifications to the engine components have been investigated, that would allow for an optimised aerodynamic or acoustic design of the EGV (exit guide vanes) of the TEC (turbine exit casing). However, the engine weight should not be increased and the aerodynamic performance must be at least the same. This paper compares the sound power level of a state-of-the-art TEC (reference TEC) with typical EGVs with an aerodynamically optimised TEC configuration for the engine operating point approach. It is shown that a significant weight reduction (only bladings considered) and reduction in engine length can be achieved but the sound power level for the fundamental tone (lst blade passing frequency) for this acoustically important operating point is increased. It is also shown that the losses of the aerodynamical optimised EGVs are higher for this off design point but significantly lower at the aero design point. Measurements were conducted in the STTF (subsonic test turbine facility) at the Institute for Thermal Turbo machinery and Machine Dynamics, Graz University of Technology. The inlet guide vanes, the LPT (low pressure turbine) stage, and the EGVs have been designed by MTU Aero Engines. 展开更多
关键词 Low pressure turbine exit guide vane turbine exit casing ACOUSTIC sound power level mode analysis.
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基于压缩感知的叶端定时欠采样多频叶片振动盲重构研究 被引量:5
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作者 徐海龙 杨拥民 +2 位作者 胡海峰 官凤娇 陈仲生 《机械工程学报》 EI CAS CSCD 北大核心 2019年第13期113-121,共9页
旋转叶片是航空发动机的核心部件,长期工作在复杂的工况下承受交变应力,容易产生振动而导致疲劳失效,因此在线监测叶片振动对发动机运行安全具有十分重要的工程意义。针对传统的接触式应变法无法同时测量所有叶片振动且布线复杂存在安... 旋转叶片是航空发动机的核心部件,长期工作在复杂的工况下承受交变应力,容易产生振动而导致疲劳失效,因此在线监测叶片振动对发动机运行安全具有十分重要的工程意义。针对传统的接触式应变法无法同时测量所有叶片振动且布线复杂存在安全隐患的问题,采用叶端定时(Blade tip-timing,BTT)非接触方法对叶片振动进行实时在线监测。但是BTT测量信号受叶顶传感器安装限制属于典型的欠采样信号,而叶片由于气动激励及微小裂纹的非线性导致其叶端出现多频振动响应,因此利用欠采样的BTT信号获取未知多频叶片振动是目前遇到的巨大挑战。提出采用压缩感知方法解决BTT欠采样多频叶片振动盲重构。首先分析叶片在气动激励下的多频响应;然后建立BTT测量的压缩感知模型,并采用多重信号分类(Multiplesignal classification,MUSIC)算法进行求解;最后通过数值仿真,并结合旋转叶片BTT测振实验台验证了压缩感知理论解决BTT欠采样多频叶片振动盲重构难题,实现旋转叶片振动BTT非接触在线测量。 展开更多
关键词 航发发动机 叶片振动监测 叶端定时 欠采样信号重构 压缩感知
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