Experimental Design Approach to the Effects of Chemical Composition on the Mechanical Properties and Machinability of Near-Eutectic Al-11%Si Casting Alloys

In this study, the statistical design of experiments (DOE) was applied to study and regulate the properties of near-eutectic Al-11%Si alloys. Develop regression equations for such response variables as hardness, yield stress, ultimate tensile stress, percent elongation, total cutting force, cutting power, and tool life together with other factors which, include the percentage composition of the alloying elements, and the requisite modification (Sr) level. These equations may be analyzed quantitatively to acquire an understating of the effects which the main variables and their interactions may have on the mechanical behaviour and the machinability of the alloy under investigation. The results reveal that increasing the levels of Cu and Fe content results in an increase in hardness, yield stress, and ultimate tensile strength in both modified and non-modified alloys. On the other hand, both Cu and Fe appear to affect the percentage elongation adversely, whereas the Sr-level has a positive effect on this parameter. It was found that Sr-levels have the most significant effect on the cutting forces and cutting power followed by the content in Fe and Cu. The results also reveal that the interaction coefficients of these variables have a significant effect on tool life compared to the main independent variables. This fact may be attributed to the formation of complex insoluble phases between Cu, Fe, Si, and Al as investigated using Scanning Electron Microscopy (SEM) attached to an EDX analysis system. The accuracy of the regression equations in predicting the expected properties has been verified by carrying out random experiments in the range of variation of these variables.