SBIR/STTR Research Award
Anisotropic Metric-Based Mesh Adaption for Hypersonic Flow
Award amount
$149,169Program and phase
STTR · Phase IAward year
2023Award details
- Awarding agency
- National Aeronautics and Space Administration
- Branch
- Not reported
- Recipient company
- ATA ENGINEERING, INC.
- Proposal award date
- 2023-07-22
- Contract end date
- 2024-09-02
- UEI
- PNZEUK9JC187
- Solicitation number
- STTR_23_P1
- Topic code
- T9
Research abstract
Design of reentry vehicles is driven by aeroheating concerns at elevated flow enthalpies. As such, accurate simulation of hypersonic flow phenomena such as detached bow shocks is of critical importance for reducing conservatism in design and unlocking improved performance. Adaptive mesh refinement (AMR) is an enabling technology to efficiently reduce numerical error in hypersonic reacting flow simulations by providing mesh resolution only where it is needed, based on flow phenomena or an engineering quantity of interest. ATA Engineering, Inc., proposes to develop, in collaboration with Mississippi State University, a toolset for Hypersonic Anisotropic Adaptive Mesh Refinement (HAAMR). HAAMR will offer anisotropic AMR, the efficiency of which improves as the square of anisotropy when compared to an isotropic approach. Furthermore, its metric-based adaptation will align the mesh faces to the underlying metric field. This approach will align the adapted mesh to a hypersonic bow shock, greatly reducing the numerical error associated with prediction of key figures of merit such as surface heat flux in unstructured grids.In addition to the HAAMR framework, the team will make improvements to the analysis workflow components. The metric-based anisotropic adaptation algorithms within the Advancing-Front/Local-Reconnection (AFLR) suite of meshing tools will be enhanced to enable higher-quality 3D grids, and robust numerical methods for gradient calculations will be implemented into the Loci/CHEM computational fluid dynamics (CFD) solver, enabling stable simulation on highly anisotropic adapted meshes. The team will leverage several decades of experience developing the underpinning CFD algorithms and AMR approaches. Phase I will conclude with a quantitative assessment of the value added by the envisioned toolset: comparisons of time to solution and accuracy for a reentry heatshield problem will be made using HAAMR, current AMR approaches, and legacy NASA tools.
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.
- Digital Engineering-Supported Characterization and Evaluation of Modern RF Aperture Materials
- A Machine Learning-Accelerated Framework for Lethality Assessment of Directed Energy Engagements of Hypersonic Threats
- Multiphysics Optimization of Mechanical Metamaterial Architectures
- Rapid AI-Powered Trajectory Optimization for Resupply
- 3D Automated Anisotropic Metric-Based Mesh Adaption for Hypersonic Flow