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Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models

  • Yibing Yu
  • , Linlin Sun*
  • , Zhi Bian
  • , Xiaojia Wang
  • , Zhe Zhang
  • , Chao Song
  • , Weiping Hu
  • , Xiao Chen*
  • *Corresponding author for this work
  • Beihang University
  • China Academy of Railway Sciences
  • State Key Laboratory of Track Technology for High Speed Railway
  • AVIC China Aero-poly Technology Establishment
  • General Administration of Quality Supervision
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

A novel fatigue evolution model considering the effect of defect size and additive manufacturing building direction based on the theories of continuum damage mechanics and its numerical implementation in ABAQUS is proposed in this paper. First, the constitutive model, fatigue damage evolution model and their parameter calibration methods are presented. Second, using the ABAQUS platform, the proposed model is implemented with user-defined subroutines. After that, based on the proposed model and its numerical implementation, the fatigue life of additively manufactured AlSi10Mg is predicted and its applicability is verified through experimental results. Finally, a support vector regression model is established to predict the fatigue life, and its results are compared to those of the numerical finite element method. The results show that the support vector regression model makes better predictions than the finite element method.

Original languageEnglish
Article number823
JournalAerospace
Volume10
Issue number9
DOIs
StatePublished - Sep 2023

Keywords

  • AlSi10Mg
  • additive manufacturing
  • damage mechanics
  • life prediction
  • support vector regression

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