OPTIMIZATION OF THE EFFECTS OF PROCESS PARAMETERS ON THE TENSILE STRENGTH OF DEVELOPED ALUMINIUM ROOFING SHEETS USING TAGUCHI METHOD

Year 2023, Volume: 6 Issue: 2, 31 - 40, 31.12.2023

Dıckson Davıd Olodu , Andrew Erameh

Abstract

This study employed the Taguchi Method to optimize the impact of process factors on the tensile strength of newly designed aluminum roofing sheets. The Taguchi Method which is a statistical approach was utilized to improve the manufacturing quality of aluminum roofing sheets by optimizing process variables such as production temperature, production pressure, cooling time, and percentage of chromium in Aluminium. The performance characteristics of process factors on the tensile strength of the generated aluminium roofing sheets were investigated using an orthogonal array, a signal-to-noise ratio, and an analysis of variance. Four variables; production temperature, production pressure, cooling time, and the percentage of chromium in the aluminum roofing sheet were taken into account in this analysis. As a result, an appropriate orthogonal array was chosen, and tests were run. The process parameters were assessed following the experimentation, and the signal-to-noise ratio was computed. The best parameter values were found with the use of graphs, and confirmation trials were run to ascertain the adequacy of the tensile strength of the Aluminium roofing sheets produced. The outcome demonstrated that a production temperature of 1610°C, a production pressure of 79 GPa, a cooling time of 85 seconds, and a chromium content of 2.0% gave an aluminum roofing sheet its optimum tensile strength of 592 MPa. The manufacturing temperature, followed by cooling time and the percentage of chromium, was shown to have the most significant impact on the tensile strength of aluminum roofing sheets. The least effective component was determined to be production pressure.

Keywords

Aluminium roofing sheets, Design of Experiments, Orthogonal Array, S/N Ratio, Taguchi Method.

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