Heat Transfer Analysis for Preliminary Design of Gas Turbine Combustion Chamber Liners
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.
Bibliographic record
Abstract
The objective of this thesis was to assess numerical techniques that can be utilized to predict gas turbine combustion chamber liner temperature in preliminary design. There are three main aspects of liner temperature prediction that were explored: (1) hot gas temperature prediction; (2) radiation modelling; and (3) cooling technology modelling. Reactor networks, zonal method along with simple one/two-dimensional models were picked for the these three factors. Preliminary tests for zonal method very low run time with results showing accurate trends. Reactor Networks provided valid trends for combustor outlet temperatures; further validation would be required to assess its capability to predict local temperature. One/two-dimensional models for cooling technologies were tested potential benefits over empirical correlations were discussed. Additional validation would be required for all the sub modules to be integrated into a larger Preliminary Multidisciplinary Design Optimization (PMDO) tool for gas turbine combustion chambers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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