Automobile industries were ready to recycle the waste old parts as well as the damaged parts of the old vehicles as much as possible. This study mainly focused on the recycling of the waste and damaged aluminium frames of the automobile bodies. These aluminium‐based frames only collected the metal matrix composite created by reinforcement of 3% silicon carbide (SiC) and 3% high carbon steel. The stir casting method is chosen to make the composites. Optimization is done by Taguchi ANOVA technique. Three input parameters such as stir speed, time of squeeze, and the temperature of the preheating were considered. The outputs such as compressive strength and porosity were experimentally measured with the combination of nine (L9) experimental trails. The measured experimental results were analyzed and optimized with the help of Taguchi technique with different plots for clear identification. The optimized parameters based on low porosity and high compressive strength were recommended for conclusion.

Lightweight materials are extremely needed for the manufacturing of industrial parts and are used in aerospace, automobile body shops, biomedical instruments, etc. Aluminium alloy is one of the light-weight materials, and it fulfills the industrial demands based on their natural strength/stiffness, enhanced temperature permanence, superior wear, and corrosion resistance. This experimental work considered aluminium alloy (AA8014) with reinforced particles of silicon nitride (Si₃N₄) and zirconium dioxide (ZrO₂) for preparing aluminium hybrid composites. Hybrid composites are prepared by a stir casting process involving different process parameters. L27 orthogonal array is used for optimizing the stir casting parameters with the assistance of the statistical Taguchi approach. Stir casting parameters are the percentage of reinforcement (4, 6, and 8), stir speed (400rpm, 500rpm, and 600rpm), stir time (20min, 25min, and 30min), and molten temperature (700 ^oC, 800 ^oC, and 900 ^oC). Mechanical performance such as wear and microhardness of the hybrid composites is evaluated. Minimum wear and higher microhardness are encountered at a percentage of reinforcement=6, stir speed=400rpm, stir time=30min, and molten temperature=900°C. In wear analysis, the percentage of reinforcement highly influences the wear properties (7.06 contribution). In microhardness analysis, molten temperature parameter is the extreme influencer (11.15 contribution).

In this paper, the hardness and wear properties of pure ceramic particles like silicon carbide, boron carbide and graphite are considered in micron size with the reinforced aluminium LM30 metal matrix composites. The stir casting setup is used to prepare the matrix alloy of different compositions i.e. 2, 4 and 6 % of silicon carbide, boron carbide and graphite respectively. The rate of wear in E24 steel disc is found by placing a pin over disc wear test machine under the dry condition. This paper is intended to study the hardness and wear characteristics of all the casted ceramics. The results show that hardness and wear of casted ceramics with RA-MMC has increased in loading and in unloading conditions. Further, it is proved that casting material after stir casting attains a better wear rate and hardness due to better dispersal of micro powder.

Aluminum is among the most preferred materials based on the desired properties. This investigation focused on to evaluate the wear rate of the AA6066 aluminium alloy composite by using pin-on-disc apparatus. The composites were created with three materials such as AA6066 alloy, high-speed steel, and copper which have a volume percentage variation of 92%, 5%, and 3%, respectively. These three parameters were considered for the experimental results of the wear rate such as load applied, sliding speed, and sliding distance. Experimental results of the composites were compared using an applied load of 20 N, a sliding velocity of 3.0 m/s and 1800 m of sliding distance with AAHSSCu reinforced composites offering a minimum wear rate. Similarly, using a 40 N applied load, the minimum wear rate is obtained. Further increasing the applied load to 60 N with 600 m of sliding distance provided a lower wear rate. The various graphical representations such as three-dimensional surface plots, contour plots, and bar charts were used for the experimental results. Wear rate consequences were expressed individually compared based on the considered parameters. Experimental results were having the reliability of nearly ninety-one percentage with only wear rate being focused. Finally, an optimized wear rate is obtained at the sliding distance of 1200 m with an applied load of 40 N and a spindle speed of 3 m/s.