“…13 b, with a little bit debris. The similar results were reported by several authors [8, 13, 14, 15, 16, 17, 18, 19, 20]. Fig.…”
Section: Resultssupporting
confidence: 91%
“…Baradeswaran et al. studied the wear behavior of A7075/graphite/Al 2 O 3 hybrid composites and reported that the friction coefficient of 7075 alloy decreases with 5 percent addition of graphite and up to 8 percent addition of Al 2 O 3 [8]. The friction coefficient of graphite particulates reinforced in pure aluminium up to 5 wt.% decreases with increase in sliding velocity and sliding distances is reported by Rajesh et al [9].…”
In this work aluminium-silicon alloy (A356) is strengthened with blends of granite and graphite particles using stir casting technique. Granite particulates, an industrial waste generated while cutting granite stones is used along with graphite particulates which has excellent lubricant properties. The reinforcements are mixed in different weight proportions, to base alloy at 2 and 4 weight percentages. Wear rate and friction for the fabricated composites and alloy is recorded during each sliding test The dry sliding wear of the over different loads with a track diameter of 60 mm and sliding times of 15, 30 and 45 minutes respectively. The techniques of ANOVA and Taguchi are used to study the influence of wear parameters on the friction coefficient of composites by using “MINITAB 18” software with quality characteristics chosen as smaller is better.
“…13 b, with a little bit debris. The similar results were reported by several authors [8, 13, 14, 15, 16, 17, 18, 19, 20]. Fig.…”
Section: Resultssupporting
confidence: 91%
“…Baradeswaran et al. studied the wear behavior of A7075/graphite/Al 2 O 3 hybrid composites and reported that the friction coefficient of 7075 alloy decreases with 5 percent addition of graphite and up to 8 percent addition of Al 2 O 3 [8]. The friction coefficient of graphite particulates reinforced in pure aluminium up to 5 wt.% decreases with increase in sliding velocity and sliding distances is reported by Rajesh et al [9].…”
In this work aluminium-silicon alloy (A356) is strengthened with blends of granite and graphite particles using stir casting technique. Granite particulates, an industrial waste generated while cutting granite stones is used along with graphite particulates which has excellent lubricant properties. The reinforcements are mixed in different weight proportions, to base alloy at 2 and 4 weight percentages. Wear rate and friction for the fabricated composites and alloy is recorded during each sliding test The dry sliding wear of the over different loads with a track diameter of 60 mm and sliding times of 15, 30 and 45 minutes respectively. The techniques of ANOVA and Taguchi are used to study the influence of wear parameters on the friction coefficient of composites by using “MINITAB 18” software with quality characteristics chosen as smaller is better.
“…% and then reduced with improving in sliding velocity. Sliding distances is reported by S. Rajesh et al [8]. In different studies it has been concluded that, the process/wear parameters influencing wear/various field coefficient of friction of AMMC's.…”
In this experimental work, Al-Si (A356) was improved with a mixture of graphite particles and fly ash using the stirring casting technique. Dust particles from fly ash obtained from the NTR thermal power plant during use in combination with graphite particles that have self-lubricating properties. The reinforcement is mixed in various proportions with the A356 alloy with 2% by weight. % graphite and 2-4% by weight. % fly ash dust particles. After making the basic and hybrid alloy connections, wear is calculated during the dry slip test. Dry slip wear test of different loads 5N, 10N and 15N, sliding time of 15 minutes, 30 minutes and 45 minutes respectively with a disc diameter of 60 mm. To study the effect of wear parameters on friction, various techniques are used such as Taguchi and ANOVA. In addition, the smallest value was selected using the "MINITAB18" program status functions.
“…The PFA B 4 C particles were incorporated into the Al7075 matrix by using plasma-activated sintering, and it was observed that the composites exhibited improved mechanical properties with a 7.5 wt.% of B 4 C [22,23]. The mechanical and tribological characteristics of AA7075 reinforced with five weight percentage of TiB 2 using the ultrasound-assisted casting process, and it was observed that the synthesized material displayed superior wear resistance to the base metal alloy [24,25].…”
In recent years, the deployment of sensors and other ancillary technologies has turned out to be vital in the investigation of tribological behavioral patterns of composites. The tribological behavioral patterns of AA7075 hybrid metal matrix composites (MMCs) reinforced with multi-wall carbon nanotubes (MWCNTs), and pulverized fuel ash (PFA) were investigated in this work. The stir casting technique was used to fabricate the composites. The mechanical properties such as tensile strength and hardness were determined for the fabricated material. Besides, microstructure analysis was performed for these AA7075 hybrid MMCs reinforced with MWCNTs and pulverized fuel ash. A pin-on-disc wear testing setup was used to evaluate the wear rate, in which the EN 31 steel disc was used as the counter-face. Taguchi’s design of the experiments was used to optimize the input parameters that impact the characteristics of the hybrid composites, and ANOVA (analysis of variance) was used to determine the contribution of input parameters on the wear behavior. Electrical discharge machining (EDM) was conducted on the AA7075 hybrid metal matrix composites using a copper electrode for determining the material removal rate. These investigations and the results were utilized for determining the optimized output process parameter values of the AA7075 metal matrix composite.
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