## 3 Results and Discussion  
### Analysis of Surface Microtexture and Roughness  
Table 2 presents SEM images of the surfaces of composite materials processed by abrasive paper 1200 mesh and laser radiation. In addition, the results of EDX analysis of these surfaces are summarized in Table 2. It should be noted that energy dispersive spectroscopy determines the elemental composition not on the surface, but the near-surface layer at a thickness of up to several tens of micrometers. The content of light elements (carbon, oxygen) was detected with a fairly large error [48]. However, all the studied samples were modified by laser radiation and studied by the energy dispersive spectroscopy under identical conditions, which makes it possible to compare the elemental composition of samples No. 2-8 qualitatively. In addition, it is known that with similar characteristics of laser radiation, the layer is modified at a thickness of up to hundreds of micrometers [4], which is much greater than the thickness of the elemental composition measurements by EDX.  
\begin{table}
\begin{tabular}{c c} \hline
**Mechanical Processing** & **Laser Processing** \\ \hline Sample No. 1 \\ \hline \end{tabular}
\end{table}
Table 2: SEM images of surface and elemental composition of the near-surface layer of Cu-SiC material.  
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{6}{c}{**Mechanical Processing**} & \multicolumn{6}{c}{**Laser Processing**} \\ \hline \multirow{2}{*}{Region} & \multicolumn{4}{c}{wt.\%} & \multirow{2}{*}{
\begin{tabular}{c} \\ \end{tabular} } \\ \cline{2-2} \cline{5-8}  & C & O & Si & Cu & & & & \\ \hline
1 & 19.6 & 1.8 & 0.0 & 78.6 & & & \\ \hline
2 & 21.5 & 1.5 & 0.0 & 77.0 & & & \\ \hline
3 & 21.8 & 1.6 & 0.0 & 76.6 & & & \\ \hline \multicolumn{6}{c}{Sample No. 2} \\ \hline \hline \end{tabular}
\end{table}
Table 2: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \multicolumn{1}{c}{\multirow{2}{*}{Region}} & \multicolumn{4}{c}{wt.\%} & \multicolumn{4}{c}{Region} & \multicolumn{4}{c}{wt.\%} \\ \cline{2-11}  & C & O & Si & Cu & & C & O & Si & Cu \\ \hline
10 & 34.8 & 0.0 & 59.4 & 5.8 & 31 & 9.8 & 8.2 & 4.4 & 77.6 \\ \hline
11 & 4.6 & 0.8 & 0.8 & 93.8 & 32 & 9.0 & 9.5 & 4.8 & 76.7 \\ \hline
12 & 21.9 & 1.3 & 17.0 & 59.8 & 33 & 9.1 & 9.1 & 4.9 & 76.9 \\ \hline \multicolumn{1}{c}{\multirow{2}{*}{Sample No. 5}} & \multicolumn{4}{c}{Sample No. 5} & \multicolumn{4}{c}{} \\ \cline{2-11}  & & wt.\% & & & & & & & wt.\% \\ \hline \multirow{2}{*}{Region} & C & O & Si & Cu & & C & O & Si & Cu \\ \hline
13 & 34.5 & 0.0 & 59.8 & 5.7 & 34 & 13.7 & 10.5 & 5.8 & 70.0 \\ \hline
14 & 4.2 & 0.8 & 0.8 & 94.2 & 35 & 12.2 & 12.1 & 5.2 & 70.5 \\ \hline
15 & 22.5 & 1.2 & 16.2 & 60.1 & 36 & 13.1 & 10.1 & 5.1 & 71.7 \\ \hline \end{tabular}
\end{table}
Table 2: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multicolumn{2}{c}{**Mechanical Processing**} & \multicolumn{4}{c}{**Laser Processing**} \\ \hline \multicolumn{2}{c}{} & \multicolumn{4}{c}{Sample No. 6} \\ \hline \multicolumn{2}{c}{} & \multicolumn{4}{c}{wt.\%} & \multicolumn{4}{c}{Region} & \multicolumn{4}{c}{wt.\%} \\ \cline{2-10} Region & C & O & Si & Cu & & C & O & Si & Cu \\ \hline
16 & 34.9 & 0.0 & 59.1 & 6.0 & 37 & 11.1 & 10.3 & 9.1 & 69.5 \\ \hline
17 & 2.1 & 1.5 & 0.6 & 95.8 & 38 & 13.2 & 9.2 & 7.2 & 70.4 \\ \hline
18 & 17.5 & 1.8 & 12.1 & 68.6 & 39 & 12.7 & 10.4 & 7.7 & 69.2 \\ \hline \multicolumn{2}{c}{} & \multicolumn{4}{c}{Sample No. 7} \\ \hline \hline \end{tabular}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{2}{c}{} & \multicolumn{4}{c}{wt.\%} & \multicolumn{4}{c}{Region} & \multicolumn{4}{c}{wt.\%} \\ \cline{2-10}  & C & O & Si & Cu & & C & O & Si & Cu \\ \hline
19 & 33.9 & 0.0 & 60.3 & 5.8 & 40 & 6.0 & 12.1 & 8.2 & 73.7 \\ \hline
20 & 6.3 & 0.4 & 0.9 & 92.4 & 41 & 8.2 & 10.1 & 7.3 & 74.4 \\ \hline
21 & 21.7 & 0.9 & 18.5 & 58.9 & 42 & 8.0 & 10.5 & 8.8 & 72.7 \\ \hline \hline \end{tabular}
\end{table}
Table 2: _Cont._