| About this Abstract |
| Meeting |
MS&T22: Materials Science & Technology
|
| Symposium
|
Innovative Process Design and Processing for Advanced Structural Materials
|
| Presentation Title |
Microstructure-based Fatigue Life Modeling Methodology for Ferritic-pearlitic Hypo-eutectoid Steels |
| Author(s) |
Yoon Suk Choi, Minwoo Park, Hyunki Kim, Minwoo Kang, Seunghyun Hong, Dae-Geun Nam |
| On-Site Speaker (Planned) |
Yoon Suk Choi |
| Abstract Scope |
A microstructure-based fatigue life prediction methodology was proposed and verified for 44MnSiVS6 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, 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. Synthetic microstructure-based crystal plasticity finite element simulations (CP-FEM) were performed for stress-controlled axial fatigue tests. The Fatemi-Socie (FS) parameter was chosen to calculate a fatigue indicator parameter increment per cycle (dFIP), and its cumulative distribution probability (CDP) curve was obtained from CP-FEM simulations. Three different criteria extracting a representative dFIP from the CDP curve were proposed after thoroughly examining the nature of the CDP curves. Extracted representative dFIP values coupled with the Power law-based model gave reasonable fatigue life prediction. |