A statistical forecasting of mechanical properties of Mg-Ca alloys using Taguchi design

Abstract

In this study statistical Taguchi design was used to predict mechanical properties of biodegradable magnesium calcium composites, produced by powder metallurgy method. Results of analysis of variance (ANOVA) and regression analysis indicate the good accuracy of the model. Resulting microstructure and compression test behavior of the Mg-based alloys were studied. Visual inspection using scanning electron microscope analysis indicates that the microstructure of the composite is also greatly affected by these parameters. In addition, energy dispersive X-ray spectroscopy analysis was performed for reliable determination of the chemical composition of the samples.