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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (9): 221930-221937.doi: 10.7527/S1000-6893.2018.21930

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Multiaxial fatigue life prediction of an HPT disc based on critical plane-damage parameter

XU Shen, ZHU Shunpeng, HAO Yongzhen, LIAO Ding   

  1. Centre for System Reliability & Safety, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2017-12-08 Revised:2017-12-26 Online:2018-09-15 Published:2018-03-07
  • Supported by:
    National Natural Science Foundation of China (11672070,11302044); China Postdoctoral Science Foundation (2017T100697, 2015M582549); the Fundamental Research Funds for the Central Universities (ZYGX2016J208)

Abstract: Multiaxial fatigue life prediction for a High Pressure Turbine (HPT) disc and a GH4169 alloy sample was performed using critical plane methods. Results show that the SWT (Smith-Watson-Topper) model can accurately predict uniaxial fatigue life, but demonstrates poor accuracy for multiaxial fatigue life prediction. The Fatemi-Socie (FS) model shows a good ability for uniaxial fatigue life prediction, but gives conservative multiaxial fatigue life predictions as it takes into account only the effect of the normal stress of the maximum shear strain amplitude plane on fatigue damage. In this paper, a new multiaxial fatigue critical plane-damage parameter model is proposed by considering the maximum shear strain amplitude as the main damage control parameter, and the correction parameter formed by normal stress/strain on the maximum shear strain amplitude plane as the second control parameter for fatigue damage prediction. Experimental data of a GH4169 alloy sample and an HPT disc show that the proposed damage parameter model can provide better predictions than the SWT, FS and Wang-Brown (WB) models.

Key words: critical plane methods, multiaxial fatigue, life prediction, turbine disc, damage parameter

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