Numerical Analysis of the Centrifugal Compressor Stage for an APU
Bibliographic record
Abstract
The paper describes numerical analysis of the centrifugal compressor used in an auxiliary power unit by using CFD software ANSYS 15.0.The fluid domain of centrifugal compressor comprises of impeller, channel diffuser and volute casing.The impeller is designed based on 1-D calculations and impeller geometry is developed based on a code for the blade generation using Kaplan method.Present techniques of correlations are used to develop the diffuser and volute.Whereas; geometry of diffuser and volute are developed using SOLIDWORKS 2013.The components of the compressor stage are individually meshed in the MESH component of ANSYS 15.0 workbench.The turbo mode of CFX 15 is used to develop the setup for analysis.The shear stress turbulence model is used as turbulence model.The frozen rotor interface is applied to take care of stator-rotor interactions.Inlet mass flow and pressure outlet at outlet are kept as boundary conditions.A High resolution advection scheme with first order numeric are chosen and convergence criteria is kept at 10 -4 .Grid independence study and satisfactory comparison of simulation results with theoretical design calculations are also carried out.The validated simulation case is opted to study the effect of the volute tongue angle and change in shape of the diffuser blade on compressor performance.At the end, all the cases are compared with each other on the basis of uniformity in variation of properties and performance parameters like efficiency and pressure recovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".