Aircraft Eco-assembly: a strategy to reduce the ecological footprint of aerospace industry
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 aerospace industry is a vector and a destructive agent for the environment. It is observed several pollutants and harmful wastes in all aeronautical activities. Given the negative impacts of the aerospace industry on the environment, large organizations such as Airbus, Boeing, Bombadier and Embraer have taken awareness of the urgency to inhibit environmental footprint. It has become imperative to design flying machines that could be less harmful for the environment. Therefore, aerospace industry has undertaken initiatives to limit its environmental footprint for two main phases of the aircraft lifecycle, named utilisation and final disposal. For utilisation, eco-design was used to reduce energy dependency and reduce pollution rate. For final disposal, eco-design enables aircraft recycling or final disposal under legal and industry norms. However, our literature review highlights the gap for projects to reduce environmental footprint during aircraft assembly. This paper identifies the main sources of pollution during the aircraft assembly phase and evaluates the possible strategies or initiatives to be undertaken to reduce waste quantity and to ensure their management. These strategies are named in this paper as eco-assembly.
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.
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 | 0.000 |
| 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 | 0.001 |
| 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 it