About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Computational Materials for Qualification and Certification
|
| Presentation Title |
Benchmarking Spectral Solution Methods for the Mechanical Behavior of Additively Manufactured Metals Containing Pores |
| Author(s) |
Joshua D. Pribe, George R. Weber, Evan B. Adcock |
| On-Site Speaker (Planned) |
Joshua D. Pribe |
| Abstract Scope |
Process-induced pores are common features in additively manufactured (AM) metals. Porosity formation mechanisms include incomplete melting, spatter, and unstable keyholes, which can produce widely varying pore morphologies. Understanding the influence of porosity on mechanical behavior and fatigue crack initiation is crucial for certifying load-bearing AM parts for aerospace applications. To predict mechanical behavior, spectral or fast-Fourier-transform-based methods are widely used due to their computational efficiency and synergy with voxelized measurement data. However, the infinite stiffness contrast between pores and solid material can cause convergence problems and undesired solution artifacts. In this study, several spectral solution schemes, implemented in the open-source Materialite code, are studied to understand and benchmark the predicted micromechanical fields near pores. Key results include the strength of “ringing” and “checkerboarding” artifacts associated with the Gibbs phenomenon. Guidelines for using and assessing spectral solvers for the mechanical behavior of AM metals are extracted from the results. |