Experimental analysis and optimization of process parameters using response surface methodology of surface nanocomposites fabricated by friction stir processing
Restricted accessResearch articleFirst published online December, 2024
Experimental analysis and optimization of process parameters using response surface methodology of surface nanocomposites fabricated by friction stir processing
In the present research work, microhardness and ultimate tensile strength of the aluminum based metal surface nanocomposites is studied using response surface methodology. Aluminum alloy 5083 is used as a matrix material, boron carbide nanoparticles as a reinforcement and surface nanocomposites are fabricated using Friction stir processing (FSP). Central composite design (CCD) matrix is used to prepare a design of experiment with three process parameters/factors that is, Tool rotational speed, Tool traverse speed, and Number of passes, having three level each. The nanocomposite fabricated according to design of experiment are analyzed using Response surface methodology (RSM). The developed mathematical model well fitted experimental values and equations are stated by the model to predict the microhardness and ultimate tensile strength of the surface nanocomposites. The predicted value by the model and actual tested values are in close agreement. The developed model predicted that the optimum nanocomposites is to be fabricated at 1300 rpm tool rotational speed with a tool traverse speed of 30 mm/min and no of passes should be three times, in order to achieve enhance ultimate tensile strength and microhardness.
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