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Article detail · 2025

Tensile and Wear Behaviour of Hybrid SiC-C Reinforced Epoxy Composites

Journal

Dicle University Journal of Engineering

ISSN 1309-8640

YÖKSİS OpenAlex Open access · diamond TR Index Citations 1 Percentile 56.0% FWCI 0.41
Year
2025
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Dicle University Journal of Engineering
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

In this study, the wear and tensile behaviours of epoxy composites reinforced with SiC (silicon carbide) and C (carbon) were investigated. The influence of SiC and C reinforcement ratios and load parameters on the wear performance were systematically evaluated. The ultimate tensile load and deformation values were observed in neat epoxy samples. The incorporation of SiC and C particles adversely affected the tensile load of hybrid composite due to agglomeration of particles and weak bonding between filler and epoxy. When the SiC content was kept constant and the C content was increased, a noticeable improvement in the tensile load of the composite was observed. Conversely, when the C content was constant and SiC content was increased from 3% to 6%, the tensile load increased from 2053 N to 2409 N. Wear tests were conducted under two different loads (3N and 7N). The lowest coefficient of friction (COF) values were observed in epoxy composites reinforced with 6% SiC and 2% C due to protective layer formation on matrix surface by hard SiC particles and C particles. The addition of hard particles into the epoxy enhanced the wear performance of hybrid composites. SEM analysis of worn samples revealed that, surface deformations and material loss were more pronounced in the neat epoxy samples.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

1 citations

OpenAlex cited_by_count (cache / database)

1 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Experimental and machine learning analysis of the wear and mechanical performance with morphological investigation of ZnO- and WC-nanoparticle reinforced glass/flax hybrid composites 2026 Citations 0 · OpenAlex

Authors

  1. MEHMET EMİN DEMİR
  2. RAŞİT KORAY ERGÜN BATMAN ÜNİVERSİTESİ