Mechanical characterization and enhancing wear properties of Glass/Sisal/nAl2O3strengthened polymer matrix nanocomposites using hybrid optimization approach

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY
G. Perumal , B. Deepanraj , N. Senthilkumar , K. Velavan , M. Shameer Basha
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引用次数: 0

Abstract

Numerous industries require high-performance composite materials, and glass/sisal fiber-reinforced composites are promising due to their mechanical features and ecological benefits. Composites typically limit mechanical strength, impact resistance, and extreme-condition durability. This investigation intends to examine the mechanical characteristics of hybrid glass/sisal fiber (GF/SF) with different weight proportions of nano Al2O3 (nAl2O3) fillers strengthened composites and to optimize their wear features using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)-Principal Component Analysis (PCA) technique. The vacuum infusion method was employed to produce the nano hybrid composite materials. Porosity, Shore D hardness, tensile, flexural, and impact testing were carried out to evaluate the mechanical features of composites. Tribological tests were done using a pin-on-disc tribometer. The results demonstrate that the laminates with 2 wt. % n Al2O3 outperformed the other composites while GF/SF/0% nAl2O3 exhibits the lowest mechanical and wear characteristics. The GF/SF/2% nAl2O3 composite's better characteristics are due to less porosity and better bonding amid the matrix and fibers. The broken surface under tensile testing shows a brittle fracture with voids, fiber fracture, fiber pullout, and severe matrix delamination. The optimization results show that the best settings are the GF/SF/2%nAl2O3 nanocomposite, an axial load (AL) of 10 N, and a sliding velocity (SV) of 0.419 m/s. The analysis of variance data illustrates that the composite material has the most impact, accounting for 33.58% of the obtained responses. The SV and AL were the next most significant variables, contributing 31.8% and 21.6%, respectively.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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