New Modelling and Optimization of Cooling Slope Semi-Solid Process Parameters for Magnesium Alloys Using Full Factorial Design

Abstract

Cooling-slope (CS) process is a process in preparing the feedstock for the semi-solid process with minimal equipment required. In CS process, optimal selection of CS parameters is important in producing high-quality feedstock. A comprehensive investigation concerning the influence of CS parameters on feedstock quality specifically Tensile strength (TS) and Impact Strength (IS) through an experimental design is conducted. The experiment employs three full factorial designs with added center points for CS parameters, including Pouring temperature (Pt), Pouring distance (Pd), and Slanting angle (Sa). Data from the CS experiment are utilized to develop the mathematical model using regression analysis approach. The models were validated using analysis of variance (ANOVA) and the coefficient of determination (R2). The confirmatory test result shows 3.47% of difference between simulation and experimental. The optimal solution will provide flexibility to the process planner to choose the best parameter settings depending on the application.