Wear behavior of AA 5083/SiC nano-particle metal matrix composite: Statistical analysis

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dc.contributor.authorIdrisi, Amir Hussain
dc.contributor.authorMourad, Abdel-Hamid Ismail
dc.contributor.authorThekkuden, Dinu Thomas
dc.contributor.authorChristy, John Victor
dc.date.accessioned2024-09-24T04:34:30Z
dc.date.available2024-09-24T04:34:30Z
dc.date.issued2018
dc.descriptionAluminium alloys play a crucial role in various engineering fields due to their superiority in quality to weight proportion and other mechanical properties [1]. These alloys are used as matrix phase in aluminium matrix composites. These composites achieve enormous interest and are widely utilized in various applications of making automobile and aerospace components because of their different essential properties like light weight, bring down cost, high stiffness, easy fabrication and high dimensional stability which aided to mould the material to desired shape and size. The metal matrix composites (MMCs) are most commonly used in engineering applications due to their ease of fabrication, lower costs, recyclability and isotropic properties .
dc.description.abstractThis paper reports study on statistical analysis of the wear characteristics of AA5083/SiC nanocomposite. The aluminum matrix composites with different wt % (0%, 1% and 2%) of SiC nanoparticles were fabricated by using stir casting route. The developed composites were used in the manufacturing of spur gears on which the study was conducted. A specially designed test rig was used in testing the wear performance of the gears. The wear was investigated under different conditions of applied load (10N, 20N, and 30N) and operation time (30 mins, 60 mins, 90 mins, and 120mins). The analysis carried out at room temperature under constant speed of 1450 rpm. The wear parameters were optimized by using Taguchi's method. During this statistical approach, L27 Orthogonal array was selected for the analysis of output. Furthermore, analysis of variance (ANOVA) was used to investigate the influence of applied load, operation time and SiC wt. % on wear behaviour. The wear resistance was analyzed by selecting "smaller is better" characteristics as the objective of the model. From this research, it is observed that experiment time and SiC wt % have the most significant effect on the wear performance followed by the applied load. Keywords Metal matrix composite, 5083 Al Alloy, SiC nano reinforcement, wear test, ANOVA, Taguchi method
dc.identifier.citationIdrisi, A. H., Mourad, A. H. I., Thekkuden, D. T., & Christy, J. V. (2018, March). Wear behavior of AA 5083/SiC nano-particle metal matrix composite: Statistical analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 324, No. 1, p. 012087). IOP Publishing.
dc.identifier.doihttps://doi.org/10.1088/1757-899X/324/1/012087
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6510
dc.language.isoen
dc.publisherIOP Publishing
dc.titleWear behavior of AA 5083/SiC nano-particle metal matrix composite: Statistical analysis
dc.typeArticle

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