# Comprehensive Evaluation Method for High-Performance
## 3 Results and Discussion
### Evaluation Method Results  
The values of the four parameters analyzed in this evaluation method were calculated according to the presented methodology. First, the normalized indicators of the summary results were computed (Table 6). Based on the normalized indicators, the grey relational coefficients (GRC) were calculated (Table 7). In the final step, the grey relational grade (GRG) was determined. The parameter sets were ranked from best to worst according to the evaluation method. The summary results of the analysis are presented in the table (Table 8). \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Parameter Set**} & **Normalized** & **Normalized Volume of** & **Normalized Average** & **Normalized Average** \\  & **Volumetric Material** & **Material Predicted to** & **Maximum Power** & **Cutting-Force** \\  & **Removal Rate Q** & **be Removed in Tool** & **Consumption P\({}_{\text{c}}\)** & **Component F\({}_{\text{z}}\)** \\  & [-] & **Life Cycle G\({}_{\text{max}}\) [-]** & **[-]** & **[-]** \\ \hline
1 & 0.318 & 0.326 & 0.704 & 0.770 \\
2 & 0.545 & 0.281 & 0.494 & 1.000 \\
3 & 0.773 & 0.334 & 0.465 & 0.517 \\
4 & 1.000 & 1.000 & 0.000 & 0.547 \\
5 & 0.000 & 0.000 & 1.000 & 0.944 \\
6 & 0.182 & 0.233 & 0.723 & 0.675 \\
7 & 0.727 & 0.543 & 0.332 & 0.000 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Normalized indicator values from the summary results of the main tests. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Parameter Set**} & **GRC for Volumetric** & **GRC for Volume of** & **GRC for Average** & **GRC for Average** \\  & **Material Removal Rate** & **Material Predicted to** & **Maximum Power** & **Maximum** \\  & \(\xi_{\text{i}}\)**(Q) [-]** & **be Removed in Tool** & **\(\xi_{\text{i}}\)**(P\({}_{\text{c}}\))** & **Cutting-Force** \\  & & **Life Cycle \(\xi_{\text{i}}\)**(G\({}_{\text{max}}\)) [-]** & **[-]** & **Component \(\xi_{\text{i}}\)**(F\({}_{\text{z}}\)) [-]** \\ \hline
1 & 0.423 & 0.426 & 0.628 & 0.685 \\
2 & 0.524 & 0.410 & 0.497 & 1.000 \\
3 & 0.688 & 0.429 & 0.483 & 0.509 \\
4 & 1.000 & 1.000 & 0.333 & 0.525 \\
5 & 0.333 & 0.333 & 1.000 & 0.900 \\
6 & 0.379 & 0.395 & 0.643 & 0.606 \\
7 & 0.647 & 0.523 & 0.428 & 0.430 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Grey relational coefficient values—summar of the main test results. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Parameter Set**} & **Machine** & **f\({}_{\text{z}}\)** & **a\({}_{\text{e}}\)** & **Q** & **Grey Relational** & **Ranking Based on** \\  & **Type** & **[mm/** & **[mm]** & **[cm\({}^{3}\)/min]** & **Grade (GRG)** & **the Applied** \\  & **Type** & **tooth** & **[mm]** & **[cm\({}^{3}\)/min]** & **Grade (GRG)** & **Evaluation Method** \\ \hline
1 & High feed & 0.3 & 70.54 & 0.5 & 267.39 & 0.541 & 4 \\
2 & High feed & 0.4 & 70.54 & 0.5 & 356.52 & 0.608 & 3 \\
3 & High feed & 0.5 & 70.54 & 0.5 & 445.65 & 0.527 & 5 \\
4 & High feed & 0.3 & 72.8 & 1 & 534.78 & 0.715 & 1 \\
5 & Plunging & 0.08 & 1 & 25 & 142.61 & 0.642 & 2 \\
6 & Plunging & 0.08 & 1.5 & 25 & 213.91 & 0.506 & 7 \\
7 & Plunging & 0.08 & 3 & 25 & 427.82 & 0.507 & 6 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Results of the comprehensive evaluation method for high-performance milling of Inconel 718. The main objective of this article was to develop, present, and verify a comprehensive evaluation method for the high-performance milling of Inconel 718, based on an experiment conducted under accelerated wear conditions. The experiment examined parameters such as the distribution of cutting-force components, total machine power consumption, cutting-edge wear, and material removal rate. The developed method allows for the classification of the applied machining methods and process parameters from the most to the least favorable, in accordance with the established process boundary conditions. The experimental studies and verification of the evaluation method demonstrated its usefulness for assessing machining processes based on different process kinematics.