Evidence map›Paper›PMID 37049066›Full record

ArticleMaterials (Basel, Switzerland)2023

Preparation of Carbon Nanotubes/Alumina Hybrid-Filled Phenolic Composite with Enhanced Wear Resistance.

Siti Shuhadah Md Saleh, Mohd Firdaus Omar, Hazizan Md Akil, Muhammad Helmi Abdul Kudus, Mohd Mustafa Al Bakri Abdullah, Andrei Victor Sandu, Petrica Vizureanu, Khairul Anwar Abdul Halim, Mohamad Syahmie Mohamad Rasidi, Syarifah Nuraqmar Syed Mahamud and 2 more

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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

12 authors.

Siti Shuhadah Md SalehFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0003-2401-0441
Mohd Firdaus OmarFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0002-6365-6272
Hazizan Md AkilSchool of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia.ORCID 0000-0002-7422-4627
Muhammad Helmi Abdul KudusSchool of Mechanical Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia.ORCID 0000-0003-3354-3135
Mohd Mustafa Al Bakri AbdullahFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0002-9779-8586
Andrei Victor SanduFaculty of Material Science and Engineering, Gheorghe Asachi Technical University of Iasi, 41 D. Mangeron St., 700050 Iasi, Romania.ORCID 0000-0002-9292-749X
Petrica VizureanuFaculty of Material Science and Engineering, Gheorghe Asachi Technical University of Iasi, 41 D. Mangeron St., 700050 Iasi, Romania.ORCID 0000-0002-3593-9400
Khairul Anwar Abdul HalimFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0002-1482-5228
Mohamad Syahmie Mohamad RasidiFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0002-1529-094X
Syarifah Nuraqmar Syed MahamudFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Kangar 01000, Perlis, Malaysia.ORCID 0000-0001-9919-2409
Ion SanduRomanian Inventors Forum, Str. Sf. P. Movila 3, 700089 Iasi, Romania.ORCID 0000-0003-4088-8967
Norlin NosbiDepartment of Mechanical Engineering, Centre for Corrosion Research (CCR), Institute of Contaminant Management for Oil and Gas (ICM), Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia.ORCID 0000-0002-3745-3703

Funding

Gheorghe Asachi Technical University of Iași University Scientific Research Fund (FCSU)Ministry of Higher Education FRGS/1/2019/TK05/UNIMAP/02/8
6 · The paper itself

Abstract

Hybrid fillers can be produced via various methods, such as physical mixing and chemical modification. However, there is a limited number of studies on the effect of hybridisation on the mechanical performance of hybrid filler-reinforced polymer composites, especially in the context of wear performance. This study investigated the wear resistance of carbon nanotubes (CNTs)/alumina hybrid-filled phenolic composite, where two hybrid methods were used to produce the CNTs/alumina hybrid filler. The CNTs/alumina (CVD hybrid) was synthesised using the chemical vapour deposition (CVD) method, whereas the CNTs-/alumina (physically hybrid) was prepared using the ball milling method. The CNTs/alumina hybrid filler was then used as a filler in the phenolic composites. The composites were prepared using a hot mounting press and then subjected to a dry sliding wear test using a pin-on-disc (POD) tester. The results show that the composite filled with the CVD hybrid filler (HYB composite) had better wear resistance than the composite filled with physically hybrid filler (PHY composite) and pure phenolic. At 5 wt%, the HYB composite showed a 74.68% reduction in wear, while the PHY composite showed a 56.44% reduction in wear compared to pure phenolic. The HYB composite exhibited the lowest average coefficient of friction (COF) compared to the PHY composite and pure phenolic. The average COF decreased with increasing sliding speeds and applied loads. The phenolic composites' wear and average COF are in the order HYB composite < PHY composite < pure phenolic under all sliding speeds and applied loads.

Indexed as

carbon nanotubes (CNTs)chemical vapour depositionhybridpolymer compositewear

Identifiers

PMID37049066
PMCPMC10095878

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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.