Damageable Thermal Behavior of Thermoplastic Flat Plate under Uniaxial Stress
Bibliographic record
Abstract
The behavior of polymers is remarkably related to temperature, its influence on physical characteristics should not be denied in the study of mechanical or physical behavior, especially in the study of forming processes that require an important apport of mechanical and thermal efforts.The behavior of polymers is strongly linked to a known temperature margin noted Tg and called glass transition temperature, above which the configuration of the macromolecular chains goes largely mobile, and dependence with temperature occurs more dramatically.This dependence is especially remarkable than the dependence with time for viscoelastic materials.Our work is a contribution to the study and characterization of the behavior of thermoplastic polymers with thermal damage, the damage model proposed reflects the state of damage to a structure made of ABS (Acrylonitrile-Butadiene-Styrene) undergoes both mechanical and thermal damagee under different temperature spectra.Aims: To introduce the temperature influence on the mechanical behavior of polymers through damage variable, and the evolution of this variable with respect to temperature. Study Design:We study dumbbell shape flat plate specimens made by ABS under a thermomechanical effort.
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.
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 | 0.000 | 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) | 0.003 | 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".