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Record W4402686987 · doi:10.2514/6.2024-3950

Ablation modeling with density-based Navier Stokes solver, an implementation and validation of two carbon models

2024· article· en· W4402686987 on OpenAlexaboutno aff
Bruce G. Crawford, Mitchell A. Uretsky, Chao Han, Song Gao, Valerio Viti, Jean‐Sébastien Cagnone

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
Fundersnot available
KeywordsSolverBase (topology)Computer scienceMathematicsProgramming language

Abstract

fetched live from OpenAlex

Ablation modeling with density base Navier Stokes solver, an implementation and validation of a two carbon models Bruce Crawford Ansys Inc., 2600 Ansys Dr, Canonsburg, PA 15317 USA Mitchell Uretsky Textron Systems Corporation, 700 Main Street, Wilmington, MA 01887, USA Chao Han ,Valerio Viti Ansys Inc., 10 Cavendish Court, Lebanon NH, 03766, USA Song Gao , Jean-Sebastien Cagnone Ansys Canada Ltd., 1000 Sherbrooke Street West, Montreal QC, H3A 3G4 Canada Ablative Thermal Protection Systems (TPS) have been the preferred method since the early days of atmospheric reentry for shielding vital components of hypersonic vehicles such as nose tips, leading edges, vehicle acreage, engine inlet cowls, and rocket nozzles. Traditionally, the design of TPS has been through ground and flight test programs; each have their own drawbacks. Ground testing is beneficial in material screening and initial data collection but is unable to replicate real-world flight environments, as well as being expensive. Flight testing produces the proper environments at the expense of extreme cost and difficult data reduction. In this context, high-fidelity physics computer simulation has become a key enabling technology in the design and development of hypersonic systems. Once validated, high-fidelity computer simulations can accurately reproduce physical phenomenon and their complex interactions, thus helping to alleviate the limitations of ground test facilities. The present work aims at validating a workflow built on the commercial CFD solver Ansys Fluent CFD density-based coupled solver for the simulation of graphite ablation. The CFD approach results are validated against experimental results obtained at the IHF arc-jet facility at NASA Ames Research Center. Two different surface reaction models of air-carbon were implemented, both with 11 species, to simulate the ablation of the solid carbon material. The chemical process is coupled with i) the simulation of the wall ablative recession via the moving deforming mesh (MDM) framework as well as ii) with the modeling of the conjugate heat transfer (CHT) effects. Both chemical mechanisms are evaluated against the experimental data for two separate geometries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.334
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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