| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing: Microstructure, Defects, and Properties
|
| Presentation Title |
Accounting for Material Heterogeneity and Anisotropy in Optical Profilometry-based Micro-Indentation Testing via Uncertainty Quantification |
| Author(s) |
Christian Puentes, Astrid Rodriguez Negron, Aaron E. Tallman |
| On-Site Speaker (Planned) |
Aaron E. Tallman |
| Abstract Scope |
Methods for precise and rapid quantification of property variations in additively manufactured (AM) metals are needed to support uncertainty-robust design. Important variability exists at the mesoscale, within neighborhoods of crystallographic grains. High-throughput mechanical testing can target these volumes by using micro-tensile specimens, micro-indentation, or micropillar compression. Of the three, micro-indentation has the least demanding sample preparation. The complexity of stress state under indentation has typically constrained modeling to simplified cases (2D, isotropic, homogeneous material). The error tied to these simplifying assumptions has yet to be measured. Here, optical profilometry of micro-indentation testing is analyzed. The volume of material as distributed by angle is quantified, using Gaussian process regression to mitigate aliasing. The approach is applied to traditionally manufactured and AM samples. Net material flux along the orbital direction is estimated. The uncertainty of 2D analysis of indentation tests in anisotropic materials is discussed. |