## 2 Materials and Methods
### Testing Phase
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Element 1** & **Fe** & **C** & **Si** & **Mn** & **P** & **S** & **Cr** \\ \hline Weight, \% & 83.00–87.10 & 0.36–0.42 & 1.00 & 1.00 & 0.04 & 0.015 & 12.5–14.5 \\ \hline Deviation & \(\pm\)0.02 & \(\pm\)0.02 & +0.05 & +0.03 & +0.005 & +0.003 & \(\pm\)0.15 \\ \hline \hline \end{tabular}  
* According with EN 10088-1: 2014 [25].  
\end{table} 
Table 2: Chemical composition of X39 CR13 high carbon martensitic stainless steel. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Country** & EU & USA & Germany & France & England & Italy & China & Poland \\ \hline
**Standard** & EN & - & DIN,WNr & AFNOR & BS & UNI & GB & PN \\ \hline
**Designation** & X39 Cr13 & 420 & X39 Cr13 & Z40C13 & X39 Cr13 & X40 Cr14 & 4C13 & 4H13 \\ \hline \multicolumn{8}{c}{**General properties**} \\ \hline Corrosion resistance & \multicolumn{2}{c}{Mechanical properties} & \multicolumn{2}{c}{Forgeability} & \multicolumn{2}{c}{Weldability} \\ \hline average & \multicolumn{2}{c}{very good} & \multicolumn{2}{c}{good} & \multicolumn{2}{c}{with care} \\ \hline \multicolumn{8}{c}{**Physical properties**} \\ \hline Thermal expansion & Modulus of elasticity & Poisson number & Electrical resistivity & Electrical conductivity & Specific heat & Density & Thermal conductivity \\ \hline
10\({}^{-6}\)-K\({}^{-1}\) & GPa & v & \(\Omega\)-mm\({}^{2}\)/m & S-m/mm\({}^{2}\) & J/(Kg-K) & Kg/dm\({}^{3}\) & W/(m-k) \\ \hline
10.5 & 215 & -0.27–0.30 & 0.55 & 1.82 & 460 & 7.70 & 30 \\ \hline \multicolumn{8}{c}{**Processing properties**} \\ \hline Automated machining & Machinable & Magnetic & Hammer and die forging & Cold forming & Electrical conductivity \\ \hline yes & yes & yes & yes & no & no \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Selected properties of X39 CR13 high carbon martensitic stainless steel. After the end of the abrasive processing, all industrial cutting blades were subjected to high-accuracy 3D optical measurements in order to assess the influence of the preset machining parameters of the expected cutting edge surface texture. In the measurements, a multisensory optical profilometer Talysurf CLI 2000 (Taylor-Hobson Ltd., Leicester, Great Britain) equipped with LK-031 optical displacement sensor (\(\lambda\) = 670 nm, \(P\) = 0.95 mW, \(d_{s}\) \(\sim\) 30 mm, \(r\) = 1 \(\upmu\)m) and LK-2001 controller (Keyence Corp., Osaka, Japan) was used. Detailed characteristics of this instrument were presented in the work [26], whereas its view during measurements is shown in Figure 7.  
The measurements methodology included \(1.50\times 1.50\) mm measurements of the topographies of the selected surface fragment of each of the industrial cutting blade for conditions given in Table 5. After the measurement, the saved \({}^{\star}\):SUR file with measurement data was opened in specialized TalyMap Silver ver. 4.1.2 (Digital Surf, Besancon, France) software. Before starting the proper analyses, the measurement data were leveled and (if necessary) non-measured points were filled out. A proper analysis was carried out on the basis of a surface map in indexed colors (where the height of the surface elements was encoded with the color), and topography of measured surface and calculated values of selected parameters from the amplitude, spatial, and hybrid groups is given in Table 6. Additionally, from \(1.50\times 1.50\) mm surface topography, a fragment, which presented area of cutting blade, was extracted. In this way, a \(0.90\times 1.25\) mm surface topography was obtained. After filtering out waviness, for such surface topography, the software calculated selected parameters.