Study of Measured and Model Based Generated Turbine Performance Maps within a 1D Model of a Heavy-Duty Diesel Engine Operated During Transient Conditions
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Bibliographic record
Abstract
<div class="htmlview paragraph">One-dimensional engine simulation codes are today frequently used for turbocharger matching in stationary engine operation. Due to the turbocharger's slow response, simulation tools that can predict the engine transient performance are desired.</div> <div class="htmlview paragraph">In this work a commercial turbine modelling software was used for turbine performance map generation for a wide operational range. It is based on semi-empirical models and requires turbine geometry data as input. The generated maps were compared with measured and numerically extrapolated turbine performance maps within a thermodynamic 1D model of a HD diesel engine operated in transient conditions. The thermodynamic engine model was verified against engine test cell data.</div> <div class="htmlview paragraph">The results show that the model based generated performance turbine maps give similar results as the maps generated from measured turbine performance data. For performance prediction of turbines employed on reciprocating internal combustion engines especially when operated during transient conditions there is still a need for model improvement.</div>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it