Abstract

Wear properties of Al–Mg–Si alloy matrix hybrid composites made with Si-based refractory compounds (SBRC) derived from bamboo leaf ash (BLA) as complimentary reinforcement with alumina have been studied. The experimental result indicate that optimum wear loss was obtained at higher sliding speed. The wear rate of the composites increased with an increase in BLA wt. %, with the composites having 4%SBRC from BLA + 6% alumina (B4) showing the least wear loss for the different sliding speeds and wear loads considered. With increasing BLA weight percent, the composites' wear mechanism was mostly abrasive wear. Numerical optimization results using central composite design (CCD) reveal that at a wear load of 587.014N, sliding speed of 310.053 rpm and B4 hybrid filler composition level respectively, minimum responses in wear rate (0.572mm2/min), specific wear rate (0.212cm2/g.cm3) and wear loss (0.120 g) would be obtained for the developed AA6063 based hybrid composite. Perturbation plots indicate that the sliding speed have more impact on wear loss, while wear load have significant impact on the wear rate and specific wear rate.

Details

Title
Statistical modeling of Si-based refractory compounds of bamboo leaf and alumina reinforced Al–Si–Mg alloy hybrid composites
Author
Adesina, Olanrewaju S. 1 ; Adediran, Adeolu A. 2 ; Edoziuno, Francis O. 3 ; Sanyaolu, Olufemi O. 1 ; Obadele, Babatunde A. 4 

 Redeemer’s University, Department of Mechanical Engineering, Ede, Nigeria (GRID:grid.442553.1) (ISNI:0000 0004 0622 6369) 
 Landmark University, Department of Mechanical Engineering, Omu - Aran, Nigeria (GRID:grid.448923.0) (ISNI:0000 0004 1767 6410) 
 Delta State Polytechnic, Department of Metallurgical Engineering, Ogwashi-Ukwu, Nigeria (GRID:grid.461933.a) (ISNI:0000 0004 0446 5040) 
 Botswana International University of Science and Technology, Department of Chemical, Materials and Metallurgical Engineering, Palapye, Botswana (GRID:grid.448573.9) (ISNI:0000 0004 1785 2090) 
Pages
5416
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2794415901
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.