| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Integrated Monte Carlo Microstructure and Analytical Temperature Simulations of Additive Manufacturing |
| Author(s) |
Brodan Richter, Joshua D. Pribe, Wesley A. Tayon, Samuel J.A. Hocker, Saikumar Reddy Yeratapally, Edward Glaessgen |
| On-Site Speaker (Planned) |
Joshua D. Pribe |
| Abstract Scope |
The large process-design space associated with additive manufacturing (AM) renders correlation of microstructure with processing parameters impractical due to the resources needed for sample creation and analysis. The sensitivity of microstructure to minor processing deviations is also unknown, which makes AM part qualification and certification difficult. The development of simulation methods for accurately replicating physical AM builds is critical for addressing the process-design space challenge. This study represents progress in AM microstructure simulation through the integration of analytical temperature solutions and the kinetic Monte Carlo method. The analytical solution speed enhancements and the sensitivity of grain statistics to processing parameters are outlined. The impacts of implementing texture evolution techniques are discussed. Experimentally characterized AM Ti-6Al-4V microstructures are compared with simulated samples in order to test the simulation techniques. This work demonstrates how validated simulation techniques provide a methodology for understanding and addressing the challenge. |
| Proceedings Inclusion? |
Undecided |