Fatigue life prediction of aluminum alloy materials based on surface damage and internal defects
Published: 7 January 2022| Version 3 | DOI: 10.17632/s733mm3njb.3
The effects of internal defects and surface damage on fatigue life of periodically damaged specimens are analyzed by means of microscopic computed tomography and microscopic observation. A three-dimensional reconstruction model based on surface damage and internal defects was established, which was confirmed by the experimental data of fatigue damage accumulation during the stages of damage, and a statistical regression model was established by using surface roughness and stress concentration coefficient of the specimens to predict fatigue life.
Shanghai University of Engineering Science