An integrated approach to the conceptual development of aircraft structures focusig on manufacturing simulation and cost
Bibliographic record
Abstract
In an increasingly competitive market place manufacturers in the aerospace industry need to improve the efficiency of their product development methods. With fewer new aircraft being developed, innovation needs to switch from product to process technologies such as design, development and manufacturing planning in order to improve efficiency and reduce cost. This paper describes a product development methodology based on automatically generated CAD data which can be used for the structural analyses of and manufacturing planning for, aircraft fuselage sections. The introduction of manufacturability into the design arena makes concurrent engineering design, manufacturing planning and process validation possible before committing to the costly activities of making prototypes and tooling. Network analyses carried out on simulated assembly operations for a regional jet fuselage section, shows that labour utilization can be significantly improved when compared to a real assembly process with a 19% improvement in financial efficiency. The simulation predicts that these results can be achieved with a single final assembly jig. As two jigs are currently used for this assembly operation in reality this result represents a significant financial saving.
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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 | 0.000 | 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".