An Analysis Using the Taguchi Optimization Process to Statistically Investigate the Mechanical Properties of Composite Materials

To acquire optimum proportioning of composite mixtures by applying information generated from a statistically designed research initiative, in which a sequential statistical strategy is included. The outlined strategy’s efficacy in refining the structure of composite blends is demonstrated using a usual scenario whereby experimental combinations have been investigated using a full factorial practice containing 3 elements then its four intensities (43). A complete set of mixtures of composites have been studied by adjusting the quantities of essential parameters influencing the compressive strength and split tensile strength, specifically, moisture-to-composite ratio (0.36, 0.38, 0.40, and 0.42), metakaolin to composite material content (10%, 15%, 20%, and 25%), and slag aggregate to fine aggregate content (10%, 20%, 30%, and 40%). The outcome of the experiment was employed for analysis of variance (ANOVA) to establish the regression model of compressive strength and tensile strength at 28 days and 90 days, respectively.