SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH

The aim of this study is to find the controlled factors affecting mass density combined Al2O3/Cu. All experiments were carried out using powder metallurgy. Experiments with four controllable processing parameters, namely milling time, compaction pressure, sintering temperature, and holding time. L18 mixed-level Taguchi Orthogonal Array was used for experimental because it basis analysis method. In research, statistical GRA PCA Quality Loss Function. result best model based on Function, method has biggest determination coefficient value 99,97% where results better than PCA. From main effect table study, optimal combination parameters response: hardness are A2B3C3D2 metallurgical process time 360 minutes, compacting 200 MPa, 7000C, 20 minutes. ANOVA show that pressure most influential parameter affects response. percentage contribution 87.09%. Based ANOVA, R-squared 99.97%, which means tested factor variables can explain Al2O3/Cu composite by 99.70%. Therefore, only 18 trials needed discover reality what will happen in process.