## 2 Materials and Methods
### Regression Analysis
\begin{array}{c}Weight=-46.1+0.00681\times ORA+0.00361\times RDA-6.55\times LT +0.0381\times ID-0.0510\times PS\\ +0.3927\times NT+0.0465\times BT-0.000102\times ORA^{2}+0.000008\times RDA^{2} +13.10\times LT^{2}\\ +0.000095\times ID^{2}+0.000686\times PS^{2}-0.000782\times NT^{2}-0.000418\times BT ^{2}\\ PrintingTime=3301+83.88\times ORA-3.20\times RDA-68576\times LT+108.3\times ID-249.7\times PS\\ +75\times NT-38.5\times BT-0.9374\times ORA^{2}+0.0713\times RDA^{2}+117089 \times LT^{2}\\ -0.496\times ID^{2}+2.074\times PS^{2}-0.140\times NT^{2}+0.389\times BT^{2} \\ sB=-221-0.0701\times ORA+0.0936\times RDA+101.4\times LT-2.369\times ID+0.240 \times PS+2.323\times NT\\ -0.244\times BT-0.000262\times ORA^{2}-0.000717\times RDA^{2}-328.7\times LT^{2} +0.01766\times ID^{2}\\ -0.00311\times PS^{2}-0.00434\times NT^{2}+0.00272\times BT^{2}\\ E=-2261-3.853\times ORA+0.472\times RDA+678\times LT-12.89\times ID+3.80\times PS +22.61\times NT\\ -2.83\times BT+0.02952\times ORA^{2}-0.00927\times RDA^{2}-2540\times LT^{2}+0. 1045\times ID^{2}\\ -0.0497\times PS^{2}-0.0445\times NT^{2}+0.0266\times BT^{2}\\ \end{array}  \tag{10}\]\[ \begin{split}\text{Toughness}&=-26.8-0.00006\times ORA+0.0 1273\times RDA+15.62\times LT-0.3244\times ID+0.0336\times PS\\ &\quad+0.282\times NT-0.0193\times BT-0.000104\times ORA^{2}-0.000105 \times RDA^{2}-49.39\times LT^{2}\\ &\quad+0.002393\times ID^{2}-0.000401\times PS^{2}-0.000517\times NT ^{2}+0.000251\times BT^{2}\\ EPC&=-15.35+0.014425\times ORA-0.000084\times RDA-6.7 9\times LT+0.03310\times ID-0.04749\times PS\\ &\quad+0.1320\times NT-0.00464\times BT-0.000169\times ORA^{2}+0. 000004\times RDA^{2}+9.34\times LT^{2}\\ &\quad-0.000177\times ID^{2}+0.000441\times PS^{2}-0.000266\times NT ^{2}+0.000122\times BT^{2}\\ SPE&=-1.390+0.001746\times ORA-0.000079\times RDA-1. 1149\times LT+0.002868\times ID-0.006256\times PS\\ &\quad+0.01347\times NT-0.000936\times BT-0.000021\times ORA^{2}+0. 000001\times RDA^{2}\\ &\quad+1.707\times LT^{2}-0.000018\times ID^{2}+0.000056\times PS ^{2}-0.000027\times NT^{2}\\ &\quad+0.000020\times BT^{2}\end{split}  \tag{13}\]  
\[ \begin{split} SPP&=0.146-0.000146\times ORA+0.0 00013\times RDA+0.1033\times LT+0.000355\times ID\\ -0.000001\times PS-0.001065\times NT-0.000121\times BT+0.000001 \times ORA^{2}-0.000000\times RDA^{2}\\ -0.2243\times LT^{2}-0.000004\times ID^{2}+0.000001\times PS^{2}+0. 000002\times NT^{2}\\ +0.000004\times BT^{2}\end{split}  \tag{14}\]  
For the response parameters, Pareto plots were created to determine the significant control variables statistically (Pareto charts are provided in the Supplementary part of this study; please see Figures S6-S9). * The ORA, ORA\({}^{2}\), LT, LT\({}^{2}\), PS, and PS\({}^{2}\) parameters for printing time pass the 1.98 margins, making them statistically significant factors for the particular response factor. The calculated MAPE value of 19.61% is a respectable outcome. Additionally, the Durbin-Watson metric was estimated at 0.4, demonstrating a positive autocorrelation in the prediction residuals. * ORA\({}^{2}\), PS, PS\({}^{2}\), NT, NT\({}^{2}\), BT, and BT\({}^{2}\) were the statistically significant characteristics for the part weight. MAPE was computed at 5.05%, which is a highly acceptable result and confirms the model's dependability. The prediction residuals show a positive autocorrelation, according to the 0.96 Durbin-Watson factor calculation. * The statistically significant parameters for compressive strength include ORA, RDA, RDA\({}^{2}\), LT, LT\({}^{2}\), ID, ID\({}^{2}\), NT, and NT\({}^{2}\). MAPE was computed at 47.53%, which is a moderate result and shows that the expected accuracy of the model in the prediction is not very good. The residuals of the forecast show a positive autocorrelation, according to the Durbin-Watson factor calculation, which came out to be 1.04. * The statistically significant factors for the EPC are ORA, ORA\({}^{2}\), LT, LT\({}^{2}\), ID, ID\({}^{2}\), PS, PS\({}^{2}\), NT, NT\({}^{2}\), and BT\({}^{2}\).