4.1 Parametric sensitivity analysis of the extruded beads printed
The diameter measurements for each experiment condition were subjected to the Shapiro-Wilk normality test, as could be seen in Fig. 8.
In Fig. 8, the orange graphs illustrate the distribution of bead diameter measurements with a 0.4 mm 3D printing nozzle, while the blue graphs illustrate the distribution with a 0.6 mm 3D printing nozzle. The data in Fig. 8 comprises random samples, since the p-value was greater than 0.05, therefore there is no rejection of the normality hypothesis. Table 4 presents the average and standard deviation of the bead diameter and the associated die swell for each processing condition.
Table 4 Bead diameter and DSR
Processing condition
|
Bead diameter (mm)
|
DSR
|
04mm_40rpm_20g/h
|
0.616 ± 0.004
|
1.50 ± 0,010
|
04mm_40rpm_40g/h
|
0.658 ± 0.005
|
1.60 ± 0.013
|
04mm_80rpm_20g/h
|
0.615 ± 0.007
|
1.49 ± 0.017
|
04mm_80rpm_40g/h
|
0.686 ± 0.006
|
1.67 ± 0.014
|
06mm_40rpm_20g/h.
|
0.77 ± 0.012
|
1.28 ± 0.020
|
06mm_40rpm_40g/h
|
0.86 ± 0.036
|
1.42 ± 0.060
|
06mm_80rpm_20g/h
|
0.88 ± 0.006
|
1.46 ± 0.001
|
06mm_80rpm_40g/h
|
0.94 ±0.002
|
1.57 ± 0.030
|
By observing the Table 4, the DSR average varied between 1.28 and 1.67, values similar to those found by Colon et al. (2023) [22] and Cheng et al. (2019) [25]. Despite different processing conditions and materials, the range remained between 1.1 and 1.7 for DSR in studies in 3D printer heads.
Next, the significance analysis was performed to verify the quantitative impact of the nozzle diameter, rotational screw speed, and output rate on the DSR of PP-RP141 in the Co-TSE AM 3D printer. In significance analysis, the vertical bars refer to the confidence interval from the mean value for the test and its replicas. The main results can be seen in Fig. 9.
Analyzing Fig. 9a, Fig. 9b and Fig. 9c it is possible to observe that DSR tends to increase with a decrease in nozzle diameter, an increase in output rate, and an increase in the rotational speed of the twin-screw, for the numerical range of each factors analyzed. Additionally, by examining the Pareto chart (Fig. 9d), the significance of each factor can be quantified. The factors diameter of the 3D nozzle and the output rate statistically affected the DSR, increasing the response by 0.132 and 0.130 on average, respectively. The rotational speed influenced the DRS, increasing the response by 0.096 on average. It is worth highlighting that there was significant interaction effect between nozzle diameter and rotational speed. This interaction effect showed a reduction in the difference between mean DRS values in relation to nozzle diameter of approximately 0.06 with the increase of rotational speed.
The Fig. 9e illustrates the interaction between screw rotational speed and nozzle diameter on DSR. An increase in rotational speed results in a higher DSR for both nozzle diameters. However, with a 0.4 mm nozzle diameter, the influence of increased rotational speed on DSR is less than with the 0.6 mm nozzle. This could be a consequence of molecular orientation in the more restrictive thermomechanical environment of the 0.4 mm nozzle, as indicated by the estimated shear rates in Table 3. According to Manrich (2005) [34], there is a critical shear rate where molecules of viscoelastic materials have already achieved full orientation and, under this condition, an increase in shear rate has a diminishing impact on DSR, potentially reaching values lower than 1. Similarly, the reduced effect of rotation on the 0.4 mm nozzle can be attributed to the possibility that molecules are already highly oriented and closer to the critical shear rate condition. Consequently, they experience a lesser influence from the screw rotational speed.
Before performing the desirability analysis, the beads were examined under processing conditions both longitudinally and transversely. The objective was to qualitatively evaluate the surface texture and morphology. The Fig. 10 presents the SEM results.
As can be observed in Fig. 10, the surface quality of the extruded beads without silicone and their respective morphologies exhibits minimal discrepancies when comparing Fig. 10a to Fig. 10h. The surface texture of all samples demonstrates favorable characteristics, without depressions or damages. The bead's morphology, observed in the cross-sectional view, reveals an absence of empty or contaminants, even when the Co-TSE AM 3D printer operates in an unenclosed environment. The acquired surface texture and morphology in the samples suggest that all processing conditions could potentially be suitable for 3D printing print lines experiments.
Since all samples exhibit suitable surface quality and morphology for be printed in trajectory experiments, a desirability analysis was conducted for all conditions to determine which processing parameters would minimize DSR. Fig. 11 shows the desirability chart.
By observing Fig. 11, it can be noted that the desirable outcome (1) is achieved when the diameter is the largest (0.6 mm), the output rate is the lowest (20 g/h), and the rotational speed is the lowest (40 rpm). Additionally, it is observed that the desirable conditions (0.6 mm, 20 g/h, and 40 rpm) align with analytical expectations, as these circumstances tend to minimize the shear rate developed during the extrusion of PP-RP 141.
4.2 Analyses of the trajectories and profiles of the extruded beads
The printed lines of the extruded beads samples were analyzed at LEXT OLS 4000 transmission confocal microscope (Olympus®, Japan), the main images were showed in Fig. 12.
By observing Fig. 12, it could be notice that the surface texture of the print lines trajectories is different, especially influenced by the standoff distance. The textures of Fig. 12a and Fig. 12b are more similar to each other and exhibit greater geometric conformity with the trajectory of the G code when compared to Fig. 12c and Fig. 12d. Fig. 13 presents the Pareto chart for H and W parameters, respectively.
Analyzing Fig. 13, it can be observed that for the H, the standoff distance has a greater influence, whereas for W, the platform speed parameter has a greater effect. Additionally, it is noteworthy that the interaction between standoff distance and platform speed is significant only for H under the investigated printing conditions. Fig. 13 provides an analysis of the influence of the platform speed and standoff distance on bead height (H, mm) and bead width (W, mm).
It can be observed in Fig. 14a that H tends to decrease as the speed increases. As well as, an examination of Fig. 14b reveals that, at higher speeds, W tends to decrease at both the 0.5 mm and 1 mm distances. Moreover, it is worth mentioning that, at a speed of 30 mm/s, the influence of speed on width is minimized. One possible explanation is that, at the higher speed (30 mm/s), the heated nozzle spends less time influencing the thermomechanical environment of the polymer adhering to the bed, likely resulting in quicker bead cooling. This stands in contrast to the scenario at a speed of 20 mm/s. At 20 mm/s, W for 0.5 mm of standoff distance tends to be larger than for 1 mm of standoff distance, which could be linked to the extended duration the heated nozzle interacts with the polymer during adhesion, leading to slower cooling and potentially greater susceptibility to height influence due to the increased moldability permitted by the thermomechanical environment.