About this Abstract |
Meeting |
TMS Specialty Congress 2025
|
Symposium
|
8th World Congress on Integrated Computational Materials Engineering (ICME 2025)
|
Presentation Title |
Physics-Based Modeling for Fatigue Crack Initiation Predictions in Additively Manufactured AlSi10Mg Alloys |
Author(s) |
Deepali Patil, Anthony Spangenberger, Diana Lados |
On-Site Speaker (Planned) |
Deepali Patil |
Abstract Scope |
Additive manufacturing (AM) is rapidly becoming an essential manufacturing process across various industries due to its design flexibility and potential for substantial weight, cost, and energy savings. However, the use of AM for safety-critical components is limited by process-induced defects, which reduce fatigue lifetimes and increase variability. In this research, Stochastic Volume Elements (SVEs) of AM AlSi10Mg are developed for a given set of process parameters using a physics-based approach and fatigue loading is simulated via crystal plasticity simulations with FFT solvers. The stress-strain (S-S) response from these simulations is post-processed to obtain a Fatigue Indicator Parameter (FIP), aiding in predicting the Fatigue Crack Initiation (FCI) life of these alloys. This model is calibrated and validated with experimental fatigue data, allowing it to predict fatigue crack initiation life and S-N curves across the AM process parameter space. The feasibility of this approach and future modeling initiatives will be discussed. |
Proceedings Inclusion? |
Undecided |