Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets

Abstract

This study focused on the optimization using taguchi method to ınvestigate the effects of process parameters on the hardness of developed aluminium roofing sheets. Maximizing process variables like manufacturing temperature, manufacturing pressure, cooling time, and percentage of magnesium in aluminium, the Taguchi Method, a statistical method, was used to enhance the manufacturing quality of aluminium roofing sheets. Using an orthogonal array, a signal-to-noise ratio, and an analysis of variance, the effects of process variables on the hardness of the produced aluminium roofing sheets were examined. In this analysis, four factors; manufacturing temperature, manufacturing pressure, cooling time, and the precentage of magnesium in the aluminium roofing sheet were investigated. Thus, a suitable orthogonal array was selected, and experiments were conducted. Following the trial, the process parameters were evaluated, and the signal-to-noise ratio was calculated. The best parameter values were determined with the use of graphs, and confirmation trials were performed. The results showed that an aluminium roofing sheet's maximum hardness of 65.0kgf was obtained at a manufacturing temperature of 1250 °C, a manufacturing pressure of 65 GPa, a cooling period of 95 seconds, and a magnesium content of 0.5%. The most important influences on the hardness of aluminium roofing sheets was found to be the precentage of magnesium in aluminium roofing sheets followed by manufacturing pressure and manufacturing temperature. The cooling time was found to be the least efficient one. The obtained results in this study were used to improve the material property (hardness) of aluminum roofing sheet and investigate the effects of production factors in aluminum production industries.

Keywords

• Aluminium sheets
• Design of experiments
• Hardness
• Manufacturing
• Signal-to-noise ratio

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