## 3 Results
### Experimental Results and Analysis of Variance
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{PC} & \(\text{Y}_{3}=-13.531+0.166811\times\text{A}+0.132395\times\text{B}+0.942584\times \text{C}+11.2665\times\text{D}\) & & & \\  & \(+0.720474\times\text{E}-0.0662478\times\text{A}\times\text{D}-0.0100738\times \text{B}\times\text{E}\) & & & \\ PC & \(-0.2468\times\text{C}\times\text{D}+0.029186\times\text{C}\times\text{E}-0.807224 \times\text{D}\times\text{E}\) & 0.8956 & 0.5380 \\  & \(-0.00143806\times\text{A}^{2}-0.00133621\times\text{B}^{2}-0.0180165\times\text{C}^{ 2}+0.202091\times\text{D}^{2}\) & & & \\  & \(-0.0901186\times\text{E}^{2}\) & & & \\  & \(Y_{4}=3.17251+0.19669\times\text{A}+0.68291\times\text{B}-0.303304\times\text{C}+0.0 702186\times\text{D}\) & & & \\  & \(+0.069834\times\text{E}+0.043789\times\text{A}\times\text{B}-0.0434371\times \text{A}\times\text{C}+0.145768\times\text{A}\times\text{E}\) & & & \\ FC & \(-0.158044\times\text{E}\times\text{E}+0.152018\times\text{B}\times\text{E}-0.0 8873855\times\text{C}\times\text{C}\times\text{D}\) & 0.8974 & 3.96 \\  & \(+0.076758\times\text{A}^{2}+0.10754\times\text{B}^{2}-0.0445448\times\text{C}^{ 2}+0.0529495\times\text{D}^{2}\) & & & \\  & \(-0.0366893\times\text{E}^{2}\) & & & & \\  & \(Y_{5}=452.644\) & \(-5.27827\times\text{A}-2.883852\times\text{B}-13.8538\times\text{C}-273.98 \times\text{D}-21.8944\times\text{E}\) & & \\  & \(-0.0597475\times\text{A}\times\text{B}+0.076842\times\text{A}\times\text{C}+ 1.3194\times\text{A}\times\text{C}\) & & & \\ AC & \(+0.34728\times\text{A}\times\text{E}-0.08875762\times\text{B}\times\text{C}+2.2 28081\times\text{B}\times\text{D}\) & & & \\  & \(+0.355633\times\text{B}\times\text{E}+7.33367\times\text{C}\times\text{C}-0.6925 1\times\text{C}\times\text{E}\) & 0.9028 & 11.80 \\  & \(+0.35488\times\text{E}+0.0452408\times\text{A}^{2}+0.056067\times\text{B}^{ 2}+0.255692\times\text{C}^{2}\) & & & \\  & \(-57.6209\times\text{D}^{2}+0.200655\times\text{E}^{2}\) & & & & \\  & \(Y_{6}=-363.404\) & \(+5.03093\times\text{A}+4.77247\times\text{A}\times\text{B}+7.12924\times \text{A}+319.431\times\text{D}+33.879\times\text{E}+0.0435091\times\) & & \\ APC & \(\text{A}\times\text{B}-0.322917\times\text{A}\times\text{E}+0.0983018\times \text{B}\times\text{E}-0.856548\times\text{B}\times\text{D}-0.60119\times \text{B}\times\text{E}-6.23162\times\text{C}\times\text{D}\) & 0.9625 & 1.32 \\  & \(\text{C}\times\text{D}+0.599877\times\text{C}\times\text{E}-14.25\times\text{D} \times\text{E}-0.0683901\times\text{A}\text{A}-20.0658901\times\text{B}2-0. 207833\times\text{C}\text{E}\) & & \\ \hline \hline \end{tabular} Note: A stands for dry temperature; B stands for hot-air relative humidity; C stands for initial moisture content; D stands for wind speed; and E stands for tempering ratio. The terms in the equation are non-coded values.  
\end{table} 
Table 3: _Cont._model terms were eliminated, ultimately resulting in the quadratic model presented in Table 3. The ANOVA results indicated that the regression equations for all six indicators were statistically significant (\(p<0.05\)), whereas lack-of-fit was not significant (\(p>0.05\)), suggesting a strong correlation between experimental values and the regression model.