A Comparison of Lightweight Design Concepts of a Passenger Aircraft Seat Using Topology and CFRP Laminate Optimization
Bibliographic record
Abstract
The aerospace industry has significant motive to create lightweight structures to further the development of high efficiency aircraft.A topology optimization (TO) and laminate optimization approach to design a lightweight passenger seat concept was performed.Also, two types of discontinuous carbon-fibre reinforced plastics (CFRP), sheet molding compound (SMC) and long fiber prepreg sheet (LFPS) were compared in a case study against aluminum.discontinuous CFRP materials have undergone technological advancement and can pose as cost effective alternatives to continuous CFRP materials with acceptable performance loss.Optimization results were interpreted to form three lightweight design concepts which show notable weight saving potential.Among the three equal mass concepts, both discontinuous CFRP concepts showed 6-8% lower compliance compared to aluminum, indicating potential for further weight reduction when using discontinuous CFRP material to meet the same stiffness requirements as a conventional aluminum design.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".