Investigation on Mechanical Properties and Analysis of Dry Sliding Wear Behavior of Al LM13/AlN Metal Matrix Composite Based on Taguchi's Technique

2017 ◽  
Vol 139 (4) ◽  
Author(s):  
N. Radhika ◽  
R. Raghu
Keyword(s):  
Regression Analysis ◽  
Aluminum Alloy ◽  
Tensile Test ◽  
Metal Matrix ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Ratio Analysis ◽  
Sliding Distance

LM13/AlN (10 wt. %) metal matrix composites (MMC) and unreinforced aluminum alloy were produced under stir casting route. Microstructural characteristics were examined on the developed composite using optical microscope. The hardness and tensile test were carried out on both unreinforced aluminum alloy and composite using Vickers hardness tester and universal testing machine (UTM), respectively. Dry sliding wear behavior of the composite and unreinforced aluminum alloy was evaluated using pin-on-disk tribometer based on the design of experiments approach. Experimental parameters such as applied load (10, 20, and 30 N), velocity (1, 2, and 3 m/s), and sliding distance (500, 1000, and 1500 m) were varied for three levels. Signal-to-noise (S/N) ratio analysis, analysis of variance, and regression analysis were also performed. The characterization results showed that reinforcement particles were uniformly distributed in the composite. The hardness and tensile test revealed greater improvement of property in composite compared to that of unreinforced alloy. Wear plot showed that wear was increased with increase in load and decreased with increase in velocity and sliding distance. S/N ratio analysis and analysis of variance (ANOVA) indicated that load has greater significance over the wear rate followed by velocity and sliding distance. Regression analysis revealed greater adequacy with the constructed model in predicting the wear behavior of composite and unreinforced aluminum alloy. Scanning electron microscopy (SEM) analysis is evident that the transition of wear from mild to severe occurred on increase of the load in the composite.

scholarly journals Comparative study on dry sliding wear behavior of mono (Al2219/B4C) and hybrid (Al2219/B4C/Gr) metal matrix composites using statistical technique

2020 ◽  
Vol 29 (1) ◽  
pp. 57-68
Author(s):  
R. Suresh
Keyword(s):  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Sliding Wear ◽  
Applied Load ◽  
Wear Behavior ◽  
Base Alloy ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Matrix Composites ◽  
Sliding Distance

AbstractIn the present study, aluminium metal matrix composites (AMMC’s) reinforced with boron carbide (B4C) and graphite (Gr) particles were prepared by stir casting method. Dry sliding wear behavior of developed composites was conducted on pin on disc apparatus with variation in sliding distance, applied load and sliding speed. Taguchi method was employed to optimize the data in a controlled way. Analysis of variance was employed to examine the wear behavior of base alloy (Al2219), mono (Al/B4C) and hybrid (Al/B4C/Gr) metal matrix composites. The correlations were established by linear regression models and validated using confirmation tests. The obtained results indicated that B4C content, sliding distance is highly affected by the dry sliding wear followed by sliding speed and applied load. The incorporation of B4C and Gr particles in aluminium improves the tribological characteristics. The SEM images of mono composite shows the deep grooves on worn surface. It demonstrates the signs of abrasive wear of mono composite. The hybrid composite exhibits excellent wear resistance when compared to mono composite and base alloy. The main reason of that is the Gr particles act as a solid lubricating material in the hybrid composite (Al/B4C/Gr).

Dry Sliding Wear Behavior of 2218 Al-Alloy-Al2O3(TiO2) Hybrid Composites

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Vineet Tirth
Keyword(s):  
Wear Rate ◽  
Sliding Wear ◽  
Hybrid Composites ◽  
Wear Behavior ◽  
Dry Sliding Wear ◽  
Aged Alloy ◽  
Dry Sliding ◽  
Al Alloy ◽  
Mathematical Relationship ◽  
Sliding Distance

AA2218–Al2O3(TiO2) composites are synthesized by stirring 2, 5, and 7 wt % of 1:2 mixture of Al2O3:TiO2 powders in molten AA2218 alloy. T61 heat-treated composites characterized for microstructure and hardness. Dry sliding wear tests conducted on pin-on-disk setup at available loads 4.91–13.24 N, sliding speed of 1.26 m/s up to sliding distance of 3770 m. Stir cast AA2218 alloy (unreinforced, 0 wt % composite) wears quickly by adhesion, following Archard's law. Aged alloy exhibits lesser wear rate than unaged (solutionized). Mathematical relationship between wear rate and load proposed for solutionized and peak aged alloy. Volume loss in wear increases linearly with sliding distance but drops with the increase in particle wt % at a given load, attributed to the increase in hardness due to matrix reinforcement. Minimum wear rate is recorded in 5 wt % composite due to increased particles retention, lesser porosity, and uniform particle distribution. In composites, wear phenomenon is complex, combination of adhesive and abrasive wear which includes the effect of shear rate, due to sliding action in composite, and abrasive effect (three body wear) of particles. General mathematical relationship for wear rate of T61 aged composite as a function of particle wt % load is suggested. Fe content on worn surface increases with the increase in particle content and counterface temperature increases with the increase in load. Coefficient of friction decreases with particle addition but increases in 7 wt % composite due to change in microstructure.

Multi-response optimization of tribological characteristics of aluminum MMCs using PCA

2014 ◽  
Vol 10 (2) ◽  
pp. 276-287
Author(s):  
Rajesh Siriyala ◽  
A. Gopala Krishna ◽  
P. Rama Murthy Raju ◽  
M. Duraiselvam
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Principal Component ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Content Type ◽  
Wear Process ◽  
Response Optimization ◽  
Sliding Distance

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-kind approach in literature. Hence PCA method can be successfully used for multi-response optimization of dry sliding wear process.

Dry Sliding Wear Behavior of A356-ZrO2 Metal Matrix Composite

2015 ◽  
Vol 1125 ◽  
pp. 116-120
Author(s):  
Hamidreza Ghandvar ◽  
Saeed Farahany ◽  
Mohd Hasbullah Idris ◽  
Mohammadreza Daroonparvar
Keyword(s):  
Metal Matrix ◽  
Sliding Wear ◽  
Adhesive Wear ◽  
Wear Behavior ◽  
A356 Alloy ◽  
Matrix Alloy ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Friction Behavior ◽  
Wear And Friction

Dry sliding wear and friction behavior of cast A356 Al-Si alloy and composite containing 5wt. % ZrO2 particles were studied by means of a pins-on-disk apparatus over loads of 5N, 20N and a sliding speed of 0.628m/s. The experimental results showed that the composites exhibited a higher wear resistance in comparison to that of the unreinforced A356 alloy. The friction coefficient of tested materials increased with increasing applied load from 5 to 20 N. FESEM investigations revealed that the wear mechanism of the A356 matrix alloy changed from sever abrasive, adhesive wear into mild abrasion and adhesive wear with addition of 5wt. % ZrO2 reinforcement particles.

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