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Record W4317581693 · doi:10.2514/6.2023-0991

In Silico Studies on Pintle Nozzle with Lucrative SITVC by Creating Sanal Flow Choking and Unchoking Conditions

2023· article· en· W4317581693 on OpenAlex
Sai Shankaran B, Deviparameswari Krishnasamy, Haribalan, Akshay Kumar Nandhan, Vigneshwaran Rajendran, Prisha K. Asher, VR Sanal Kumar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAIAA SCITECH 2023 Forum · 2023
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNozzleChokingEngineeringMechanical engineeringThrustAerospace engineeringSimulation

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2023-0991.vid The theoretical discoveries of the Sanal flow choking (V.R.S.Kumar et al., Global Challenges, Vol.4, No.9, 2020, PMCID: PMC7267099) and streamtube flow choking (V.R.S.Kumar et al., Physics of Fluids, 34(4), 2022, https://aip.scitation.org/doi/10.1063/5.0086638) achieved significant contemplation in all branches of science and engineering for resolving various unanswered scientific questions brought onward from the beginning of this era (V.R.S.Kumar et al., Physics of Fluids, 34(10), 2022, https://aip.scitation.org/doi/10.1063/5.0105407). The applications of these flow choking phenomena are more significant in aerospace industries particularly in fluidic secondary-injection-thrust-vector-control (SITVC) research. In this paper in silico studies have been carried out for the design optimization of a lucrative variable thrust and steering system for future single-stage-to-orbit (SSTO) vehicles. Variable thrust is achieved through the pintle movement and flexible steering is achieved by creating Sanal flow choking and the unchoking conditions in the secondary bypass duct, which is facilitated in the pintle. Note that at the Sanal flow choking condition secondary jet will be supersonic and at the unchoked flow condition secondary jet will come down to subsonic, which can be achieved by altering the total-to-static pressure ratio in the secondary bypass duct. In silico studies have been carried out using validated 2D density based, SST k-ω turbulence model with finite volume scheme. The credibility of the code is verified using the closed-form analytical model capable to predict the boundary layer blockage at the diabatic flow condition (V.R.S.Kumar et al., Physics of Fluids, 34(10), 2022). Parametric analytical studies reveal that by altering the pressure ratio we could produce subsonic and supersonic secondary jet for creating variable shock strength for meeting the mission specific steering at variable altitudes lucratively. We concluded that the geometry optimization of a pintle nozzle with a secondary bypass duct having the shape of a funnel is a meaningful objective for an efficient SITVC. It can be achieved by invoking Sanal flow choking and the unchoking conditions in the bypass duct for controllable steering and altitude compensation of SSTO vehicles lucratively.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.311
Teacher spread0.289 · 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