Muti Object Prediction and Optimization Process Parameters in Cooling Slope Using Taguchi-Grey Relational Analysis

In the present work, the effect of processing parameters of cooling slope techniques of ADC 12 Aluminum alloy on its microstructural evolution has been studied in detail. Three important process parameters such as the pouring temperature (580 °C, 585 °C and 590 °C), slope length (300, 450 and 600 mm) and slope angle (30, 45 and 60°) were investigated in this study. The plan of experiments based on Taguchi’s was used for acquiring the data. Multi-object optimization parameters in cooling slope using Taguchi-Grey relation analysis. The results also indicated a new optimal value that has not been conducted in the experimental plan to improve the effectiveness of the experiment. The effect of processing parameters on the particle size and shape factor has been investigated by applying analysis of variance (ANOVA) for a grey relational grade. The resulting ANOVA shows that the slope angle (37.3%) has the greatest effect degree of sphericity and particle size followed by pouring temperature (35.3%) and slope length (27.3%). © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.