About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
A Crystal Plasticity Approach to Predict Fatigue Life With Respect to Critical Defects in Additively Manufactured AlSi10Mg |
| Author(s) |
Kamin Tahmasbi, Meysam Haghshenas, Mohammadreza Yaghoobi |
| On-Site Speaker (Planned) |
Kamin Tahmasbi |
| Abstract Scope |
This study predicts the fatigue life of LB-PBF AlSi10Mg specimens using a CPFEM framework. After fractography analysis on fatigued specimens to identify the critical defects, the area and estimated volume fraction of critical defects were used to incorporate scaled defects into the synthetic microstructures to generate 15 digital samples per specimen. Following to running CPFEM simulations, a master plan of the highest FIPs across all 15 samples was generated, and the representative FIP (𝝆FIP) was calculated for each comprehensive simulation sample using different averaging methods. After calibrating the fatigue life prediction model parameters, the fatigue life of each specimen was predicted using different values of 𝝆FIP. The proposed fatigue life prediction model in this study accurately predicted the fatigue life of experimental specimens, and the CPFEM framework could appropriately implement the effect of stress amplitude and location of the critical defect in addition to the volume of the critical defect. |