Mechanical characteristics and optimization of wear parameters of hybrid (TiO + YO) nanoparticles with Al matrix using squeeze casting technique
World Journal of Engineering, ISSN: 1708-5284
2024
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Article Description
Purpose: The purpose of this paper is to examine the mechanical characteristics and optimization of wear parameters of hybrid (TiO + YO) nanoparticles with Al matrix using squeeze casting technique. Design/methodology/approach: The hybrid aluminium matrix nanocomposites (HAMNCs) were fabricated with varying concentrations of titanium oxide (TiO) and yttrium oxide (YO), from 2.5 to 10 Wt.% in 2.5 Wt.% increments. Dry sliding wear test variables were optimized using the Taguchi method. Findings: The introduction of hybrid nanoparticles in the aluminium (Al) matrix was evenly distributed in contrast to the base matrix. HAMNC6 (5 Wt.% TiO + 5 Wt.% YO) reported the maximum enhancement in mechanical properties (tensile strength, flexural strength, impact strength and density) and decrease in porosity% and elongation% among other HAMNCs. The results showed that the optimal combination of parameters to achieve the lowest wear rate was A3B3C1, or 15 N load, 1.5 m/s sliding velocity and 200 m sliding distance. The sliding distance showed the greatest effect on the dry sliding wear rate of HAMNC6 followed by applied load and sliding velocity. The fractured surfaces of the tensile sample showed traces of cracking as well as substantial craters with fine dimples and the wear worn surfaces were caused by abrasion, cracks and delamination of HAMNC6. Originality/value: Squeeze-cast Al-reinforced hybrid (TiO+YO) nanoparticles have been investigated for their impact on mechanical properties and optimization of wear parameters.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85189874457&origin=inward; http://dx.doi.org/10.1108/wje-09-2023-0403; https://www.emerald.com/insight/content/doi/10.1108/WJE-09-2023-0403/full/html; https://dx.doi.org/10.1108/wje-09-2023-0403; https://www.emerald.com/insight/content/doi/10.1108/wje-09-2023-0403/full/html
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