Evidence map›Paper›PMID 40141522›Full record

ArticleMaterials (Basel, Switzerland)2025

Hybrid Polypropylene Biocomposites Reinforced with Short Man-Made Cellulose Fibres and Softwood Flour-Optimisation of Properties Using Response Surface Methodology.

Piotr Franciszczak, Andrejs Kovalovs, Magdalena Kwiatkowska

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Piotr FranciszczakDepartment of Machines Construction and Materials, Faculty of Marine Engineering, Maritime University of Szczecin, Willowa Street 2, 71-650 Szczecin, Poland.ORCID 0000-0002-4618-7048
Andrejs KovalovsInstitute of High-Performance Materials and Structures, Faculty of Civil and Mechanical Engineering, Riga Technical University, Kipsalas Street 6A, LV-1048 Riga, Latvia.
Magdalena KwiatkowskaDepartment of Materials Technology, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology Szczecin, Piastow Av. 19, 70-310 Szczecin, Poland.ORCID 0000-0002-5002-8242

Funding

The study was done within the framework of the project "HyBiCo - High performance short-fibre biobased hybrid composites for injection moulding" (Reference Number: project4297) founded by M-ERA.NET Call 2016. Reference Number: project4297
6 · The paper itself

Abstract

Wood-polymer composites and composites reinforced with natural and man-made cellulose fibres are being extensively used in the automotive and building industries. The main shortcoming of the former is their low-impact resistance and brittleness. The relatively high cost of natural and cellulose fibres is the limitation of the latter. This research uses a hybrid combination of wood flour and short man-made cellulose fibres to develop polypropylene composites for injection moulding that excel in mechanical characteristics and have low material cost. Both reinforcements are of wood origin. The synergistic hybrid effect of this combination of reinforcements helps to achieve their mechanical performance superior to that of wood-polymer composites at preserved low cost. The proposed Response Surface Methodology enables the calculation of necessary weight fractions of two reinforcements to achieve desired mechanical properties like strength, tensile, flexural modulus, and impact resistance.

Indexed as

hybrid effectinjection mouldingman-made cellulosemechanical propertiespolypropylene matrixwood–plastic composites

Identifiers

PMID40141522
PMCPMC11944088

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.