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A Comprehensive Nonlinear Multiaxial Life Prediction Model.

Zegang Tian1, Yongbao Liu1, Ge Xia1

  • 1College of Power Engineering, Naval University of Engineering, Wuhan 430033, China.

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|September 13, 2025
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Summary
This summary is machine-generated.

Compressor blade fatigue life prediction is improved with a new multiaxial model. This model accounts for stress gradients and strengthening effects, offering higher accuracy than existing methods for critical engineering components.

Keywords:
additional hardeninglife predictionnumerical simulationstress gradient

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Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Fatigue Analysis

Background:

  • Compressor blades experience complex multiaxial loading conditions during operation.
  • Uniaxial fatigue life prediction methods yield significant errors for components like compressor blades.
  • Accurate fatigue life assessment is crucial for ensuring the reliability and safety of rotating machinery.

Purpose of the Study:

  • To develop an advanced fatigue life prediction model specifically for compressor blades under multiaxial loading.
  • To incorporate stress gradient and strengthening effects into the fatigue life prediction framework.
  • To enhance the accuracy of fatigue life predictions compared to conventional models.

Main Methods:

  • Utilized the SWT (Smith-Watson-Topper) model parameters for damage analysis and critical plane determination via coordinate transformation.
  • Investigated microscopic mechanisms of multiaxial fatigue crack initiation and propagation.
  • Employed the finite element method (FEM) to analyze the non-uniform stress field on the critical plane and calculate the equivalent stress gradient factor.

Main Results:

  • The proposed model accurately predicted critical plane locations by comparing calculated results with experimental fracture angles.
  • Finite element analysis provided detailed stress distribution, enabling the calculation of the equivalent stress gradient factor.
  • The comprehensive fatigue life prediction model demonstrated superior accuracy over the SWT and Shang Deguang models when compared against experimental data.

Conclusions:

  • The developed fatigue life prediction model effectively addresses the complexities of multiaxial loading on compressor blades.
  • Incorporating stress gradient and strengthening effects significantly improves prediction accuracy.
  • The proposed model offers a more reliable tool for assessing the fatigue life of critical compressor blade components.