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Record W2748578982 · doi:10.11159/ffhmt17.108

Study and Numerical Analysis of Compressor Transition Duct

2017· article· en· W2748578982 on OpenAlexvenueno aff
Beena D. Baloni, Kadiyam Vijay Kumar, S. A. Channiwala

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2017
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsnot available
Fundersnot available
KeywordsGas compressorComputer scienceMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

In the modern age of aviation, turbofan engines are designed with pressure ratio as high as 40 and by-pass ratios in excess of 8. Multi spool compressor connected with a transition duct fulfils the requirement of high pressure ratio. The inter-stage annular Sshaped transition duct connects the exit of LP compressor to the inlet of HP compressor. Due to the curvature of the duct, turbulence losses and flow separation losses will develop inside the duct. Sometimes, struts are placed inside the duct for better guidance of flow. The present paper incorporates numerical analysis of the compressor transition duct with CFD software ANSYS 15. The S-Shaped compressor transition duct is designed for the 3 stage LP compressor, which operates at mass flow rate 77.8 kg/sec and pressure ratio 3.3. Numerical work consists of flow analysis of the 2D duct, the 3D duct, and the 3D duct with provision of struts. Modeling and flow analysis of the S-shaped duct is carried out with ANSYS 15.0. The results suggest that the total pressure loss is increased from 2D to 3D and 3D without strut to cases of 3D duct with struts.

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 score0.944
Threshold uncertainty score0.407

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 head0.028
GPT teacher head0.275
Teacher spread0.246 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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