| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Computational Materials for Qualification and Certification
|
| Presentation Title |
Process sensitivity of Laser Powder Bed Fusion of IN718 to Composition Variation |
| Author(s) |
Li Ma, Pranav Karve, Hasan James, Sankaran Mahadevan, S. Mohadeseh Taheri-Mousavi, Steven Storck, Morgan Trexler, Somnath Ghosh, Anthony Rollett, Brendan Croom |
| On-Site Speaker (Planned) |
Li Ma |
| Abstract Scope |
Common laser powder bed fusion materials such as Inconel 718 are permitted to have large differences in chemical composition, which results in significant variation in temperature and chemistry-dependent thermophysical properties that govern the resulting melt pool formation and dynamics. In this work, we quantify the temperature and chemistry-dependent thermophysical properties of In718 across the permitted composition range by Thermo-Calc, and then simulate the L-PBF process using computational fluid dynamics modeling (CFD). Fast sampling techniques such as optimal Latin hypercube sampling and importance sampling are explored to expedite sensitivity analysis and uncertainty quantification in the CFD predictions. These results show that permissible changes in composition can have large effects on the specific heat, surface tension, viscosity and thermal conductivity, which propagate to the melt pool size, shape, thermal gradient and cooling rate. Implications for qualification and certification of L-PBF processes are discussed. |