About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
|
6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
Determination of Ligament Quality Factors in Additively Manufactured Lattice Structures Using In-situ Compression Testing Micro-CT |
Author(s) |
Vincent DiNova, Holly Flynn, Aaron Guckenberger |
On-Site Speaker (Planned) |
Vincent DiNova |
Abstract Scope |
In response to the need for an automated, commercial method to qualify additively manufactured lattice components, an experiment was conducted to evaluate the effects of defective lattice ligaments on compression yield strength. Lattice samples with known defective or missing ligaments were compressed using a DebenCT5000 and imaged using Micro-CT. The force and CT results were compared to defect free standards. Local and global information about each ligament in the lattice are extracted using LatticeJ, a proprietary software package developed at SRNL, and fed into COMSOL to perform finite element analysis and determine quality factors. The verification of the local and global effects of defective struts are used to train machine learning algorithms to assign each ligament with a quality factor and identify the number of defective ligaments in the lattice. The results of destructive testing will be used to qualify future parts using X-ray CT. |
Proceedings Inclusion? |
Definite: Other |