SBIR/STTR Research Award

Software Toolset for Rapid Finite Element (FE) Mesh Generation of As-Built Large Laminated Composite Structural Components

Award identifier 2651099be9ffc8f602bf361ce1a15a969e0de9f62c6ac1c49d8fa1aef461d068Awarding agency Department of Defense · Navy

Award amount

$1,101,785

Program and phase

SBIR · Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
NUMERICAL TECHNOLOGY COMPANY LLC
Proposal award date
2022-12-06
Contract end date
2025-12-12
UEI
P7MAJ8PJ5LS9
Solicitation number
20.2
Topic code
N202-103

Research abstract

This effort will focus on developing effective tools enabling automatically building structured finite element (FE) mesh for as-built composite parts from X-ray Computed Tomography (CT) scan data that accurately captures performance-critical flaws in the form of the manufacturing defects. Such tools will fill a major technology gap in analysis-based assessment of residual capability and remaining useful life of composite aircraft flight-critical components and structure including assessment of quality of a repair. The inability to capture performance-critical flaws and their effects are among the most urgent needs of composite aircraft certification and sustainment. Although FE modeling represents a generally accepted practice for structural analysis, tools for generating the mesh reflecting as-built material structure of composite parts and repairs are not available, and therefore engineers are faced with a challenge of comparing CAD models or drawings of composite structure to CT scan data and manually introducing discrepancies into finite FE mesh. Geometric complexity of the flaws with a priori unknown effect has been preventing effective manual meshing. Converting the CT scans into FE mesh will provide the means for analysis-based assessment of the effects of manufacturing defects with a large span of severity/sizes in complex composite structures; and for developing repairs. The proposed solution shall address the following key requirements: (A) The ability to generate accurate subsurface geometry data for a composite structure that includes all manufacturing defects such as wrinkles and voids at ply interfaces. (B) The ability to automate the conversion of the CT scan-based geometry data to structural FE models revealing the effects of these defects on strength and fatigue performance for safe repairs, life-extending design changes, and disposition instructions. The FE mesh must be applicable to progressive damage and failure analysis of the laminated composite structure including manufacturing defects. This project will merge state of the art nondestructive measurements with composite durability and damage tolerance analyses into an add-on toolkit package for a commercial FE software program. The software toolset for rapid FE mesh generation of as-built composite parts and repairs will address a major gap in the structural diagnostics including free of human factor interpretation the nondestructive measurement data enabling the safe and cost-effective part disposition decisions. Phase I effort will demonstrate a semi-automated transition of CT-based measurements of a rotor blade section or wing section to a high-fidelity FE mesh that captures the composite material structure including ply-orientations with a refined 3D mesh including manufacturing defects.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2016–2024). Reported award amounts total $3,643,994. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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