Abstract:
Abstract
Surface topography of steel changes considerably when subjected to pitting corrosion and high temperature leading to a reduction in its fatigue life. Based on experiments, including microstructural studies and employing multiple linear regression methods, prediction models for surface topographic feature parameters such as arithmetic mean height, total height, ten-point height, profile mean spacing as a function of pitting severity, corrosion level severity, and temperature are developed. Using identical parameters, prediction models for surface topographic feature variable in stress concentration factor and defect size parameter are also developed. Further, a framework for estimating high-cycle fatigue life is proposed, incorporating the developed models. The proposed framework is validated by comparing the fatigue life estimated by incorporating the developed models with experimental data from the literature.
