|About this Abstract
|MS&T23: Materials Science & Technology
|Late News Poster Session
|K-6: Microstructure Based Modeling Approach for the Fatigue Life Prediction of Hypo-eutectoid Steels
|Jonghoon Shin, Yoon Suk Choi, Hyunki Kim, Minwoo Kang, Seunghyun Hong
|On-Site Speaker (Planned)
A microstructure-based fatigue life prediction methodology was proposed and verified for hypo-eutectoid steel. As a first step, a statistically equivalent synthetic microstructure generation algorithm was developed by applying the cellular automata under the multi-level microstructure generation approach for the description of primary ferrite and pearlite, and verified by comparing to the real microstructure. Crystal plasticity-based elasto-viscoplastic constitutive models were developed for the primary ferrite and pearlite, and their constitutive parameters were calibrated using uniaxial tension and incremental step fatigue tests. Synthetic microstructure-based crystal plasticity finite element simulations (CP-FEM) were performed for stress-controlled fatigue tests. Different types of fatigue indicator parameters (FIP) were extracted from CP-FEM simulations and linked to the fatigue life. Predicted fatigue lives were compared to the experimental data and the results were analyzed in detail.