Mechanical characterization and enhancing wear properties of Glass/Sisal/nAl2O3strengthened polymer matrix nanocomposites using hybrid optimization approach
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 investigatio...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025006462 |
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| Summary: | 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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| ISSN: | 2590-1230 |