Evidence map›Paper›PMID 36850114›Full record

ArticlePolymers2023

Assessing Mechanical Properties of Jute, Kenaf, and Pineapple Leaf Fiber-Reinforced Polypropylene Composites: Experiment and Modelling.

M M Alamgir Sayeed, Abu Sadat Muhammad Sayem, Julfikar Haider, Sharmin Akter, Md Mahmudul Habib, Habibur Rahman, Sweety Shahinur

Abstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

M M Alamgir SayeedBangladesh Jute Research Institute, Manik Mia Avenue, Dhaka 1207, Bangladesh.ORCID 0000-0001-7746-0329
Abu Sadat Muhammad SayemManchester Fashion Institute, Manchester Metropolitan University, Manchester M15 6BG, UK.ORCID 0000-0003-3034-7892
Julfikar HaiderDepartment of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK.ORCID 0000-0001-7010-8285
Sharmin AkterBangladesh Jute Research Institute, Manik Mia Avenue, Dhaka 1207, Bangladesh.
Md Mahmudul HabibBangladesh Jute Research Institute, Manik Mia Avenue, Dhaka 1207, Bangladesh.
Habibur RahmanDepartment of Textile Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.ORCID 0000-0003-0153-0751
Sweety ShahinurBangladesh Jute Research Institute, Manik Mia Avenue, Dhaka 1207, Bangladesh.ORCID 0000-0001-9657-0152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of natural fibers is increasing rapidly in the polymer-based composites. This study investigates manufacturing and characterization of polypropylene (PP) based composites reinforced with three different natural fibers: jute, kenaf, and pineapple leaf fiber (PALF). In each case, the fiber weight percentages were varied by 30 wt.%, 35 wt.%, and 40 wt.%. Mechanical properties such as tensile, flexural, and impact strengths were determined by following the relevant standards. Fourier transform infrared (FTIR) spectroscopy was employed to identify the chemical interactions between the fiber and the PP matrix material. Tensile strength and Izod impact strength of the composites significantly increased for all the composites with different fiber contents when compared to the pure PP matrix. The tensile moduli of the composites were compared to the values obtained from two theoretical models based on the modified "rule of mixtures" method. Results from the modelling agreed well with the experimental results. Tensile strength (ranging from 43 to 58 MPa), flexural strength (ranging from 53 to 67 MPa), and impact strength (ranging from 25 to 46 kJ/m

Indexed as

compositeFTIRjutekenafmechanical propertiesnatural fiberpineapple leaf fiber (PALF)polypropyleneTGA

Identifiers

PMID36850114
PMCPMC9962570

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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.