Eco-solutions for automotive interior applications by way of thermoplastic biocomposites: cost, weight and green advancements
Bibliographic record
Abstract
This paper discloses viable eco-solutions concerning the formulation and the performance of biocomposites and bioblends formulated based on polypropylene (PP), polyamide (PA6), and acrylonitrile-butadiene-styrene (ABS) and designated for the fabrication of interior automotive parts. Biocomposites containing up to 40 wt.% of cellulosic fibres were first formulated and compounded. Bioblends containing up to 30 wt.% polylactide (PLA) were also obtained. Different formulations of biocomposites were also compounded based on PLA-containing alloys and cellulosic fibres. Tensile strength, tensile modulus, and heat deflection temperature (HDT) of obtained bioblends and biocomposites presented at least equivalent values comparing to their commercial counterparts currently used in the fabrication of automotive interior parts. Parts obtained by foaming through injection-moulding process presented similar properties as the unfoamed and commercial grades while being up to 25 wt.% lighter, up to 37% less expensive, and up to 50 wt.% greener.
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 | 0.001 |
| Open science | 0.001 | 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".