A program to compute compressor blade geometries from multiple-circular-arc parameters with sweep and lean (v1.0)
Bibliographic record
Abstract
This repository contains the source code used to generate compressor blade geometries for the following publication (currently under minor revisions): Piollet, E., Nyssen, F. and Batailly, A. "Blade/casing rubbing interactions in aircraft engines: numerical benchmark and design guidelines based on NASA rotor 37". This code computes the cross-section coordinates of a compressor blade composed of multiple-circular-arc elements including variable sweep and lean angles. The goal is to study the design of blades that are robust to contact interactions, and to serve as a basis for comparative work between different research teams on blade dynamics. All input and output files related to the seven blades studied in the aforementioned publication are provided along with the program. This includes input parameters (multiple-circular-arc profile parameters and sweep and lean parameters) and output for all seven blades ((x, y, z) coordinates of the suction side and pressure side for each stacked profile -- CAD (Computer-Aided Design) files in STEP format -- finite element mesh files).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".