2021
DOI: 10.1088/2051-672x/ac2795
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Tribological performance evaluation of h-BN nanoparticle reinforced AA 7075 and as-cast AA7075 using Taguchi and genetic algorithm

Abstract: In addition to the properties of reinforcement, the tribological parameters (temperature, applied load, and sliding distance) play a vital role in determining the tribological characteristics of the composites. Though there are studies related to the AA7075/h-BN composites, the influence of tribological parameters on the friction and wear characteristics is not addressed. In this regard, a solemn attempt has been made in this research work to study the role of tribological parameters on the tribological charac… Show more

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Cited by 12 publications
(3 citation statements)
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“…Ultrasonic vibration breaks nano agglomerations when nanoparticles are used as reinforcements in molten alloys. Finally, the melts are fed into a pre-heated cylindrical die and forced using hydraulic pressure [35][36][37]. Different operating parameters recommended for squeeze-assisted stir casting to manufacture the best quality AMC disc brakes are shown in figure 3.…”
Section:  Production Processes For Amc Rotor Discsmentioning
confidence: 99%
“…Ultrasonic vibration breaks nano agglomerations when nanoparticles are used as reinforcements in molten alloys. Finally, the melts are fed into a pre-heated cylindrical die and forced using hydraulic pressure [35][36][37]. Different operating parameters recommended for squeeze-assisted stir casting to manufacture the best quality AMC disc brakes are shown in figure 3.…”
Section:  Production Processes For Amc Rotor Discsmentioning
confidence: 99%
“…Singh et al [33] studied the influence of wear parameters on the wear and friction behaviour of AA6082-T6/SiC/B 4 C composites using RSM. Reddy et al [34] also reported the importance of developing regression models to correlate the wear parameters and the wear rate.…”
Section: Introductionmentioning
confidence: 99%
“…The Taguchi method is an economical and efficient experimental design method. It emphasises optimisation through design and not through many experiments and introduces the influence of uncontrollable factors into the experimental design [ 28 , 29 , 30 , 31 , 32 , 33 ]. The Taguchi method combines orthogonal experiments and analysis of variance (ANOVA) [ 34 , 35 , 36 , 37 , 38 , 39 ] to determine the best combination of controllable factors to reduce the impact of uncontrollable factors on system quality fluctuations.…”
Section: Introductionmentioning
confidence: 99%