| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Design for Printing Success Using Additive Manufacturing Process Simulation |
| Author(s) |
Xueyong Qu, Jacob Rome, Glenn Bean |
| On-Site Speaker (Planned) |
Xueyong Qu |
| Abstract Scope |
Additive manufacturing (AM) can make parts with sophisticated geometry to exploit design and manufacturing freedom. The powder bed fusion AM process has unique printing failure modes, such as the recoater blade colliding with an unfinished part. AM process simulation (AMPS) uses finite element analysis to predict residual stress and distortion during the printing process. AMPS is utilized to evaluate severity of recoater blade collision for an aluminum bi-axial fatigue test coupon. Initial design had a high chance of recoater blade collision, even while following existing guidelines for the overhang angle. Prediction from AMPS is used to modify the design to improve the probability of printing success. It was found that reducing printing height, increasing overhang angle, and adding support structures significantly reduced the probability of blade collision. The modified design was printed without failure. The iterative design process, AMPS results, and calibration of AMPS simulation will be presented. |
| Proceedings Inclusion? |
Undecided |