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In this study, the wear behaviors of aluminum matrix composites with an A360 matrix reinforced with silicon carbide (SiC) and boron carbide (B4C) ceramic particles using Taguchi method were investigated. Wear tests of unreinforced aluminum alloy and Al17%SiC and Al17%B4C particles reinforced aluminum composites (Al/17%SiC and Al/17%B4C, respectively) versus AISI316L stainless steel disc were carried out for a dry sliding condition in a so-called a pin-on-disc arrangement. The wear tests were realized at the sliding speeds of 0.5, 1.0, and 1.5 m s−1 and under the loads of 10, 20, and 30 N. The obtained average specific wear rates for Al/17%B4C and Al/17%SiC composites are lower than unreinforced aluminum specific wear rate under the same test conditions. The experimental results are transformed into a signal-to-noise ( S/ N) ratio of using Taguchi method. Type of the material, applied load, and sliding speed exert a great effect on the specific wear rate, at 48.13%, 31.83%, and 8.77%, respectively. The estimated S/ N ratio using the optimal testing parameters for specific wear rate were calculated and a good agreement was observed between the predicted and actual specific wear rate for a confidence level of 99.5%.

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The research work includes development of vertical centrifugal casting setup for functionally graded metal composite (LM25-SiC) preparation. Material parameters like wt % of SiC Particles (2, 3.5, and 5%), average grain size of SiC particles (75, 44, and 6.5 µm) and process parameter like rotational speed of the mould (1000, 1100, 1200 RPM) are selected for characterization. Samples were tested for hardness and wear resistance to investigate the effect parameters on change of properties. Microstructure analysis was also performed. Total 11 FGM samples were made by varying different process parameters. It is found that hardness and wear resistant property improves with increase in wt% of SiC particles and mould rotation speed. It is also found that hardness and wear resistance value increases with reduction of average grain size of SiC particles. Increased mould rotation speed improves the level of distribution of reinforcing particles from inner to outer region.

In this study, wear behaviour of AlB 2 /Al composite materials produced through in-situ method have been experimentally investigated. Four different composite materials that include 5wt.%, 10wt.%, 20wt.% and 30wt.% AlB 2 reinforcement phase were tested using pin-on-disk arrangement. The effects of the rate of reinforcement on wear and friction behaviours have been investigated. Wear tests are carried out at 1.83, 3.40 and 4.71 m/s sliding speeds under 10, 20 and 40 N applied loads. The test results show that wear rate increases with the increase in applied load and sliding distance. Increasing the rate of reinforcement phase in the matrix has proportionally increased the wear resistance by 3% to 30%. Hence the greatest wear resistance has been observed with the composite materials having 30wt. % AlB 2 reinforcement. Analysis of the worn surfaces of composite samples shows that abrasive and adhesive wear mechanisms are more effective.

wide range of engineering fields. This has the benefit of optimizing a number of experiments and essential variables. In this view, one of the most effective methods is the Taguchi method. The Taguchi technique is a powerful tool for acquiring the data in a controlled way and in analyzing the influence of process variable over some specific variable, which is an unknown function of these process variables [1, 2]. It is an easy and less time-consuming tool to evaluate variables in different engineering fields. Taguchi design of experiment method (DOE) is a statical technique for efficient collection of data for any type of applications. The Taguchi technique can be summarized by using either static or dynamic route. In static route, the optimization is reached by using one of these three signal-to-noise (S/N) ratios (smaller the better, larger the better, nominal the best). S/N ratio is delineated as the desired signal ratio for the undesired random noise value and presents the quality characteristics of the experimental data. In dynamic route, the optimization is achieved by using two S/N ratios (slope and linearity). In this method, the orthogonal arrays provide an alternative to standard factorial designs and the factors and the interactions are assigned to the array columns through linear curves. The Taguchi method has been applied in different fields. One of its application fields is in analyzing materials behavior. Some researchers [3-13] applied the Taguchi method to optimize and predict the tribological behavior of nylon composites. Campus et al. [3] investigated the drilling process of unreinforced polyamide 6 and 30 % glass-fiber-reinforced polyamide 6. They concluded that the quality of the holes can be improved by proper selection of cutting parameters. Kuram et al. [4] studied the effect of the number of recycles and injection parameters on the mechanical properties of glass-fiberreinforced nylon 6 using Taguchi method. They used the Abstract In this study, the tribological performance of graphite and wax filled nylon composites was predicted and optimized with the assistance of the Taguchi analysis method. Experimental data from our previous published work are handled. The experimental results are transformed into a signal-to-noise (S/N) ratio using the Taguchi method. This ratio presents the quality characteristics of the experimental results. Tribological performance of nylon 6 (polyamide 6) composites was predicted and optimized. The type of material, applied load, and sliding speed exert effects on the specific wear rate, at 85.06, 2.17, and 3.26, were obtained, respectively. Furthermore, the estimated S/N ratio using the optimum testing parameters for specific wear rate was calculated and a good agreement was observed between the predicted and experimentally determined values for a confidence level above 90.