## 3 Results and Discussion  
The first experiment utilized four specimens printed according to the previously described parameters. Extrusion temperature and flow rate were selected as the primary variables, given their significant influence on both micro- and macro-defects. A 2 \(\times\) 2 factorial design was employed to analyze the effects of these parameters. The selected extrusion temperatures were 245 \({}^{\circ}\)C and 260 \({}^{\circ}\)C, and the flow rates were 0.172% and 0.184%. Prior to milling, a macrogeometric analysis was conducted, beginning with dimensional accuracy measurements. Table 1 presents the percentage deviation for each specimen. The results indicate that the low coefficient of thermal expansion (CTE) of fiber-reinforced polymers contributes to improved dimensional accuracy due to their enhanced thermal conductivity. While all specimens exhibited acceptable accuracy, the highest precision was achieved with the combination of a 260 \({}^{\circ}\)C extrusion temperature and a 0.184% flow rate. Thermomechanical stresses are known to induce distortions in printed parts, particularly at the base. This phenomenon, termed warping, is common in thermoplastic materials processed via AM, resulting from contractions during the cooling phase. Minimizing warping is crucial for achieving improved surfaces, facilitating the precise positioning and clamping of specimens, and ensuring stability during milling. Figure 1 illustrates the measurement locations, with the sample's center serving as the reference point. \begin{table}
\begin{tabular}{c c c c c} \hline
**Temp/Multiplier** & **245 \({}^{\circ}\)C/0.172\%** & **245 \({}^{\circ}\)C/0.184\%** & **260 \({}^{\circ}\)C/0.172\%** & **260 \({}^{\circ}\)C/0.184\%** \\ \hline Height (\%) & 0.025 & 0.025 & 0.025 & 0.025 \\ \hline Length (\%) & 0.020 & 0.030 & 0.020 & 0.010 \\ \hline Width (\%) & 0.020 & 0.010 & 0.031 & 0.020 \\ \hline \end{tabular}
\end{table} 
Table 1: Percentual deviation in general dimensions of ASA 20 wt.% CF specimens at different extrusion temperatures and flow rate multipliers. The measurements of the printed specimens revealed the highest deviations at corners 1, 5, 21, and 25 (Figure 1), reaching up to 0.3 mm when measured with a caliper. An analysis of variance (ANOVA) was conducted to determine the most influential variable. The results indicated that temperature significantly impacts geometrical distortions, yielding a \(p\)-value of 0.0079 (below 0.05 for a 95% confidence level). This effect may be attributed to temperature's influence on the melt flow index (MFI), which can affect a material's adhesion to a build platform. As demonstrated in Table 1, a 15% increase in temperature resulted in a reduction in thermomechanical deformations. To analyze microscale geometric defects, such as pores and cracks, across varying orientations and distances from the perimeter, all specimens underwent milling with a stepped profile, as depicted in Figure 2. Measurements were conducted using an optical stereoscopic microscope, and the resulting images were subsequently analyzed with ImageJTM software. Following image calibration, the Threshold Colour tool within ImageJ was used for data processing. This tool segmented the images into color-coded regions based on predefined thresholds for pores or cracks, enabling the measurement of surface areas in square millimeters. These defect analyses were performed for both the perpendicular and aligned milling directions relative to the material deposition direction. Internal porosity measurements were conducted at depths of 4, 8, and 12 mm across various layers and at different orientations relative to the deposited beads. This analysis aimed to distinguish between defects aligned with the beads (cracks) and those perpendicular to them (pores).