Wear Performance Optimization of SiC-Gr Reinforced Al Hybrid Metal Matrix Composites Using Integrated Regression-Antlion Algorithm
Autor: | Ajith G. Joshi, R. Suresh, S. Basavarajappa, M. Manjaiah |
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Rok vydání: | 2020 |
Předmět: |
010302 applied physics
Materials science Yield (engineering) Composite number 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Electronic Optical and Magnetic Materials chemistry.chemical_compound Taguchi methods chemistry visual_art 0103 physical sciences Silicon carbide visual_art.visual_art_medium Ceramic Lubricant Orthogonal array Composite material 0210 nano-technology Reinforcement Algorithm |
Zdroj: | Silicon. 13:3941-3951 |
ISSN: | 1876-9918 1876-990X |
DOI: | 10.1007/s12633-020-00704-x |
Popis: | In the present work, dry sliding wear behavior of Aluminum-based composite reinforced with hard ceramics like Silicon carbide particle (SiCp) and graphite (Gr) was studied. SiCp reinforcement impart high strength, wear resistance and more significant coefficient of friction to aluminum. While, Gr plays role of solid lubricant in reduction of wear in addition to SiCp. The Al/SiCp-Gr hybrid composite material was processed through stir-casting technique. The Taguchi’s L27 orthogonal array was used for the plan of experiments to investigate the influence of parameters on the wear behavior of material. The percentage of reinforcement, sliding velocity, applied load and sliding distance were considered as wear parameters. ANOVA analysis revealed that load was major contributing parameter, followed by sliding distance and reinforcement. The regression model was developed to correlate wear parameters with the wear volume loss. Antlion algorithm (ALO) was utilized as an optimization tool to achieve optimal parameters combination to yield a minimum wear volume loss. The ALO exhibited better performance compared to the Taguchi technique. Further, confirmation test was carried out for optimal parameter combinations, and comparison of ALO with experimental results was within an acceptable limit of 5.31% deviation. |
Databáze: | OpenAIRE |
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