Characterization of a Composite Material Composed by Rubber Tire and Expanded Polystyrene Wastes
Bibliographic record
Abstract
This study aims to valorise industrial waste of Expanded Polystyrene Packaging waste (EPS) and used tire waste, in the production of a new composite material.The new composite material RTPC (Rubber Tire Polystyrene Composite) is a mixture of rubber particles from used tires, as reinforcement, and a matrix obtained by recycling EPS with gasoline.In this study, several matrix/reinforcement weight proportions (25%, 30% and 35%) and several reinforcement particle sizes (2-3, 3-4 and 4-5 mm) were considered.Physical, mechanical and thermal characterization were carried out in order to determine the density, the flexural modulus, the maximum stress and the thermal conductivity of the composite material.According to the obtained results, the RTPC material obtained is considered as a light material with a density between 500 and 600 kg/m 3 .The thermal characterization tests of the RTPC material also showed that the RTPC is an insulating material with thermal conductivity between 0.22 and 0.23 W/m.K. On the other hand, the three-point bending tests showed that the RTPC material has poor bending properties.The RTPC material can be used in the field of building construction as a good thermal insulator.The RTPC material can be used in other applications as a structural component in sandwich structures if its mechanical properties will improve.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".