In the present investigation, a comparative study using X-ray mapping analysis and Field emission gun scanning electron micrographs is performed to understand the distribution and the mechanical properties of aluminum nano metal matrix composites. Parameters considered for comparison have two different forms for adding nanoreinforcement into metal melt. One form is produced by the addition of mechanically alloyed powders with an increasing launching vehicle weight percentage (L-1, L-3 and L-5), and the other form is produced by pellets of mechanically alloyed powders (PL-1). Micrographs reveal uniform distribution of nanoreinforcements, while X-ray mapping observations show Iron (Fe) contamination due to the addition of pellets in some areas unlike the mechanically alloyed powders. L-5 is observed to attain the highest tensile strength of 202 MPa for the Al-Cu/1.5 wt. % Al2O3 composite. The results illustrate an increase in composites strength with increase in launching vehicle content but on the expense of nanoreinforcement particle rejection from the melt.
Purpose -Since, wear is the one of the most commonly encountered industrial problems leading to frequent replacement of components there is a need to develop metal matrix composites (MMCs) for achieving better wear properties. The purpose of this paper is to fabricate aluminum MMCs to improve the dry sliding wear characteristics. An effective multi-response optimization approach called the principal component analysis (PCA) was used to identify the sets of optimal parameters in dry sliding wear process. Design/methodology/approach -The present work investigates the dry sliding wear behavior of graphite reinforced aluminum composites produced by the molten metal mixing method by means of a pin-on-disc type wear set up. Dry sliding wear tests were carried on graphite reinforced MMCs and its matrix alloy sliding against a steel counter face. Different contact stress, reinforcement percentage, sliding distance and sliding velocity were selected as the control variables and the response selected was wear volume loss (WVL) and coefficient of friction (COF) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Optimization of dry sliding performance of the graphite reinforced MMCs was performed using PCA. Findings -Based on the PCA, the optimum level parameters for overall principal component (PC) of WVL and COF have been identified. Moreover, analysis of variance was performed to know the impact of individual factors on overall PC of WVL and COF. The results indicated that the reinforcement percentage was found to be most effective factor among the other control parameters on dry sliding wear followed by sliding distance, sliding velocity and contact stress. Finally the wear surface morphology of the composites has been investigated using scanning electron microscopy. Practical implications -Various manufacturing techniques are available for processing of MMCs. Each technique has its own advantages and disadvantages. In particular, some techniques are significantly expensive compared to others. Generally the manufacturer prefers the low cost technique. Therefore stir casting technique which was used in this paper for manufacturing of Aluminum MMCs is the best alternative for processing of MMCs in the present commercial sectors. Since the most important criteria of a dry sliding wear behavior is to provide lower WVL and COF, this study has intended to prove the application of PCA technique for solving multi objective optimization problem in wear applications like piston rings, piston rods, cylinder heads and brake rotors, etc. Originality/value -Application of multi-response optimization technique for evaluation of tribological characteristics for Aluminum MMCs made up of graphite particulates is a first-of-its-kindThe current issue and full text archive of this journal is available at 276 MMMS 10,2 approach in literature. Hence PCA method can be successfully used for multi-response optimization of dry sliding wear process.
The dry sliding wear behavior of SiC reinforced aluminum alloy composites produced by liquid metallurgy was studied by means of a pin-on-disc type wear set up. Dry sliding wear tests were carried out on SiC reinforced Metal Matrix Composites (MMCs) and its matrix alloy sliding against a steel counterface. Different contact stresses, reinforcement percentages, sliding distances and sliding velocities were selected as control factors and the response selected was Wear Volume Loss (Y1) and Coefficient of Friction (Y2) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Initially empirical relations were deduced for Y1 and Y2 in terms of control factors. Further, the optimal combination of the testing parameters was determined for Y1 and Y2 responses by implementing Taguchi method for the experimental observations. Finally, Analysis of Variance (ANOVA) was performed to know the impact of individual factors on Y1 and Y2. The results indicated that the sliding distance for Y1 and Y2 responses is found to be the most effective factor among the other control parameters on dry sliding wear. The study also shows that the Taguchi method is applicable to solve this type of problem with minimum number of trials compared with a full factorial design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.