Evidence map›Paper›PMID 40307037›Full record

ArticleMacromolecular rapid communications2025

On The Structure-Property-Relationships of Textile Coated and Mechanical Recycled Polycarbonate Based Thermoplastic Blends for Automotive Interior Applications.

Christoph Callsen, Julian Hampl, Bernd Trinkwalter, Thomas Meins

Abstract read
In one paragraph

Article in Macromolecular rapid communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christoph CallsenMotherson DRSC Deutschland GmbH, Germany.
Julian HamplMotherson DRSC Deutschland GmbH, Germany.
Bernd TrinkwalterMotherson DRSC Deutschland GmbH, Germany.
Thomas MeinsInstitute for Circular Economy of Bio:Polymers at Hof University (ibp), Hof University of Applied Sciences, Germany.ORCID https://orcid.org/0000-0003-0579-5730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work introduces a convenient low technology recycling process of textile covered bezels based on polycarbonate thermoplastic materials. The recycled polymers are suitable starting materials for the reuse in automotive interior applications. Specifically, this work focuses on changes in thermal, morphological, rheological and mechanical properties caused by the recycling process. Fabric back-injected polycarbonate (PC) based blends are semi-automatically produced, shredded, pre-dried and granulated using a single-screw extruder. TEM images of the recycled materials show a fine droplet phase distribution of textile polyethylene terephthalate (PET) in PC, PC blend respectively, as well as the formation of a PET matrix in a neat PC/PET blend. DSC analyses indicated a shift in glass transition temperatures, suggesting partial miscibility of the blends. Compounding of textile PET with PC based blends led to decrease in viscosity at 280 °C. The blends show a slight decrease in strength and strain at break, due to hindered plastic deformation in PC blends, but increase of strength and strain at break of neat PC/PET due to PET becoming the matrix phase. This work highlights the potential of a partial miscibility of textile PET and polycarbonate which is used for a novel recycling approach for textile covered bezels contributing to sustainability by reducing waste and costs.

Indexed as

AutomobilesPolycarboxylate CementPolyethylene TerephthalatesRecyclingTextilesTemperatureViscositypolycarbonatePolycarboxylate CementPolyethylene Terephthalatesautomotive interior partsmechanical recyclingPC/PET blendsingle‐screw compoundingstructure‐property relationship

Identifiers

PMID40307037
PMCPMC12687673

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.