Stress Characteristic Study of Heavy-duty Gas Turbine Blade under Centrifugal Load

  • LIN Hao ,
  • GENG Haipeng ,
  • ZHOU Xifeng
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  • State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049

Received date: 2016-10-05

  Revised date: 2017-05-14

  Online published: 2017-11-20

Abstract

In order to investigate the fatigue life of the heavy-duty gas turbine blade, the research of the stress distribution and fatigue life prediction under the centrifugal load has to be carried out. A full size blade fatigue experiment device is designed and established, and the experiment condition of the low cycle fatigue centrifugal load can be simulated in this device. So the experiment device can simulate the equivalent centrifugal load conditions of the low cycle fatigue and provid the necessary conditions for the blade experiment. Meanwhile, the Von mises stress distribution of the blade is investigated with the finite element method. The maximum stress area is located in the thin edge side of the blade body. Then according to the results of the finite element simulation compared with the stress testing, the equivalent method of the centrifugal load is given for the fatigue experiment of the full size gas turbine blade. Through this kind of equivalent method, the dynamic stress experiment is completed. So both the stress time courses and the stress spectrum of the centrifugal load are obtained. The results show that the highest level of stress is in the middle of the blade edge. And in the dynamic stress spectrum, the distribution of the amplitude value and frequency probability follows the 6th Maclaurin's fitting function. The prediction result of the blade fatigue life under the equivalent centrifugal load tends to safety. These conclusions can be taken as the reference for the optimization design and the experiment study.

Cite this article

LIN Hao , GENG Haipeng , ZHOU Xifeng . Stress Characteristic Study of Heavy-duty Gas Turbine Blade under Centrifugal Load[J]. Journal of Mechanical Engineering, 2017 , 53(22) : 212 -218 . DOI: 10.3901/JME.2017.22.212

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