Bibliographic record
Abstract
Engineering design is made functional and durable by applying some engineering considerations such as material selection, availability, formability, besides the geometric shape orientation that is considered in this paper.Many designs especially the world class cars in the automotive industries, aircraft and aerospace technology use shape as basis for designing with consideration for fuel economy and speed.This also is / could be applied in structural engineering and mechanical components for load resistance ability.Geometric shape orientation becomes significant by considering the load resistance ability of the flat or straight beam and a curve beam of the same material -using solid Work 2014 verified with the well-known Hooke's law of elasticity.𝑃𝑃 = 𝐾𝐾𝜆𝜆 𝑚𝑚𝑚𝑚𝑚𝑚 is the relation for the investigation.Studies revealed that curve beam has high stiffness, K ,(N/m), than the flat under a point (P) load 1200N.Verification conducted using Ansys Workbench with mild steel, the curve and the flat bars have equivalent Von Mises stress of 1.8799 × 10 6 𝑃𝑃𝑃𝑃 and 1.3092 × 10 7 𝑃𝑃𝑃𝑃 respectively and total deformation of 9.6896 × 10 -6 m and 2.2582 × 10 -7 m respectively.Therefore, besides the consideration for conservation of space, geometric curve orientation should be adapted when designing for a load carrying member in Engineering designs and systems where space is not a constrain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.936 | 0.956 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".