Development of lightweight and thermally insulative crosslinked polypropylene via rotomolding
Bibliographic record
Abstract
Abstract In this study, lightweight and thermally insulative crosslinked polypropylene (xPP) parts were successfully produced for the first time using a straightforward dicumyl peroxide (DCP) crosslinking technique via rotational molding. A novel crosslinked and cellular structure was achieved by incorporating varying DCP contents (0.5–2.5 phr) during the rotomolding process. An increase in the DCP content led to a corresponding increase in both gel content and crosslink density, while leading to lower density. In particular, the addition of 2.5 phr DCP significantly increased the cell size by 33% (528–704 μm) and cell density by 540% (1.5–9.6 × 10 3 cells/cm 3 ), while decreasing the density by 58% (0.902–0.378 g/cm 3 ). Moreover, the thermal conductivity and resistivity (insulation power) were analyzed over a temperature range (23–120°C) for different applications. The results show that the crosslinked porous structure substantially improved the thermal resistance (691%) with a very low thermal conductivity (0.055 W/m K) at room temperature. This innovative approach not only represents a significant progress in the development of lightweight and insulative materials but also sets a benchmark for future research in the field of crosslinked polymer foams, opening the door for a wide range of applications, especially for rotomolded parts. Highlights The effect of DCP content on the final properties was studied. The incorporation of DCP into PP within the rotomolding process led to novel structures. Lightweight and highly insulative porous structures were obtained. Temperature‐dependent thermal conductivity was studied for various applications. The crosslinked porous structure significantly enhanced thermal resistance with very low thermal conductivity (0.055 W/m K) at room temperature.
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 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 | 0.000 | 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) | 0.000 | 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 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".