Fatigue Life Prediction of Additive Manufacturing Ti6Al4V based on Fatigue Source Pore
In recent years,forming Ti6Al4V aerospace parts by selective laser melting(SLM)technology has become an attractive research topic.However,pore defects that occur during the SLM process frequently lead to fatigue damage in the parts.The specifically designed experimental approach was applied to obtain fatigue life data when forming Ti6Al4V parts by SLM with different process parameter combinations.The SEM technique was used to measure the characteristic parameters of the fatigue source pore in the specimens,and the relationship between each characteristic parameter and fatigue life was analyzed.A fatigue life prediction model for SLM-formed Ti6Al4V parts was subsequently constructed based on characteristic parameters of the fatigue source pores using the random forest technique.The optimal model parameter combinations were obtained by utilizing stochastic search and k-fold cross-validation methods.The model prediction results are close to the 1.5 times error band,and the R2 and average relative errors are 0.914 and 29.1%,respectively.This indicates that the model exhibits high prediction accuracy.
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