This work presents the application of hybrid approach for optimizing the dry sliding wear behavior of red mud based aluminum metal matrix composites (MMCs). The essential input parameters are identified as applied load, sliding velocity, wt.% of reinforcement, and hardness of the counterpart material, whereas the output responses are specific wear rate and Coefficient of Friction (COF). The Grey Relational Analysis (GRA) is performed to optimize the multiple performance characteristics simultaneously. The Principle Component Analysis (PCA) and entropy methods are applied to evaluate the values of weights corresponding to each output response. The experimental result shows that the wt.% of reinforcements (Q=34.9%) followed by the sliding velocity (Q=34.5%) contributed more to affecting the dry sliding wear behavior. The optimized conditions are verified through the confirmation test, which exhibited an improvement in the grey relational grade of specific wear rate and COF by 0.3 and 0.034, respectively.
The fabrication of microchannels, in order to dissipate the heat flux generated in the complex parts of an electronic industry, requires considerable attention since it is a complex process. Some advanced machining process like wire electrical discharge machining (WEDM) has been employed carefully for forming channels in material. However, the surfaces of these microchannels play an important role in dissipating heat energy. The present study focusses on the fabrication of AA6351/10[Formula: see text]wt.% Rutile MK grade mineral through powder metallurgy route, and their properties are evaluated. In addition, the forming of microchannels on the fabricated composite has also been done through WEDM process under varying machining conditions. WEDM process conditions considered are current, voltage and wire speed, and the response characteristics are kerf width, surface roughness and kerf depth. The hybrid approach of gray-based Taguchi coupled with PCA has been considered for optimizing the process parameters so as to get near net shape channels. The determined hardness of the composite is 64.5[Formula: see text]HB and the compressive strength is 220[Formula: see text]MPa. The optimized conditions are predicted and the regression model has been developed.
Ceramics reinforced aluminum metal matrix composites are mostly used in automobile, aerospace, and its related industries because of its superior mechanical and tribological properties. In the present work, the drilling studies of LM25 aluminum-based composite is selected to carry out the experiments. Novel industrial waste red mud particles are used as the reinforcement material, which can reduce the environmental hazards and the problem of disposing. The effect of three input factors such as speed, feed, and point angle over the output response such as surface roughness, vibration, and power consumption are studied using L27 orthogonal array. The optimal factor settings for each output performance are determined by employing the Taguchi method. Further, the analysis of variance is also performed for each parameter to know the significant contribution. However, in order to minimize the responses simultaneously, multiobjective optimization by ratio analysis based entropy method is adopted and the optimum levels of the drilling process are found. When the optimum parametric setting is used, the surface roughness is reduced by 13.63%, power consumption by 9.1%, and vibration by 15.14%.
Due to their excellent synergistic properties, Aluminum Matrix Composites (AMC) have achieved a high degree of prominence in different industries. In addition to strength, the wear resistance of materials is also an important criterion for numerous applications. The wear resistance depends on the surface topography as well as the working conditions of the interacting parts. Therefore, extensive experiments are being conducted to improve the suitability of engineering materials (including AMC) for different applications. This paper presents research on manufactured aluminum metal matrix composites reinforced with 10 wt.% of Al2SiO5 (aluminum sillimanite). The manufactured and prepared samples were subjected to surface topography measurements and to tribological studies both with and without lubricant using a block-on-ring tester. Based on the results, analyses of the surface topography (i.e., surface roughness parameters, Abbott–Firestone curve, and surface defects) as well as of the tribological characteristics (i.a. friction coefficient, linear wear, and wear intensity) were performed. Differences in the surface topography of the manufactured elements were shown. The surface topography had a significant impact on tribological characteristics of the sliding joints in the tests where lubrication was and was not used. Better tribological characteristics were obtained for the surfaces characterized by greater roughness (determined on the basis of both the profile and surface texture parameters). In the case of tribological tests with lubrication, the friction coefficient as well as the wear intensity was significantly lower compared to tribological tests without lubrication. However, lower values of the friction coefficient and wear intensity were still recorded for the surfaces that were characterized by greater roughness. The obtained results showed that it is important to analyze the surface topography because surface characteristics influence tribological properties.
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