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Computed Tomography-based Mesh Generation of Laminated Composite Structural Components

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0052
Agency Tracking Number: N202-103-0995
Amount: $239,878.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N202-103
Solicitation Number: 20.2
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-10-23
Award End Date (Contract End Date): 2021-11-03
Small Business Information
10 Executive Park Drive
Clifton Park, NY 12065-5630
United States
DUNS: 012076795
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Adrian Loghin
 (518) 348-1639
Business Contact
 Mark Beall
Phone: (518) 348-1639
Research Institution

Recent advancements in industrial Computed Tomography (CT), including improved X-ray detectors and tomographic reconstruction algorithms, have enabled enhanced identification of material anomalies and manufacturing defects. For composite structures, this nondestructive inspection methodology can enable dimensionally-accurate internal structure characterization of a component, facilitating the inspection process of defect distributions in as-built components before they enter service. Despite the advancements, there is an immediate need to develop digital models that are representatively identical to physical parts to enable accurate predictions of the load bearing capabilities of the components. A streamlined workflow is necessary to digitally thread the image segmentation process of the CT scans with the component characteristics (down to the ply level) that are computer simulation-ready. Ideally, the workflow should automatically assign fiber orientations (for fiber reinforced composites), create a volumetric mesh, and define appropriate inputs for different FEA packages, producing a modeling process that is robust and repeatable. Such high-accuracy computational models are expected to capture component-specific defects (e.g., ply interface voids, wrinkles) and further provide a more accurate prediction of stress concentrations and quantitative damage tolerance assessments. This work will be conducted in partnership with Drexel University to leverage its research expertise in composite damage mechanics.

* Information listed above is at the time of submission. *

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