4.1. Results of Non-Filled Samples
Figure 9 depicts all non-filled specimens after loading compression testing. As mentioned in
Section 3.1, these specimens were designed to reach symmetric collapse mode. The testing results supported the findings of [
30], as in the present paper, the dimensions used for the triggers led to this type of failure.
From an analysis of the energy absorption,
Figure 10, the greater the ratio ‘
b/
h’, the more significant the performance parameter, and the red arrows highlight such results.
The samples ‘ST_W_20 × 30’ and ‘ST_W_15 × 30’ have more significant material removal from the energy absorber side face (magenta arrows). The energy absorption for the sample ‘ST_W_20 × 20’ is 4.3% greater than the ST_0 sample, contrary to the results found by [
30]. However, the other windowed samples followed the tendency pointed out by [
30], except for the percentage values 84.2% (ST_W_20 × 30) and 7.7% (ST_W_15 × 20).
Figure 11 depicts that the better performance related to the SEA followed the same tendency; the greater the ratio ‘
b/
h’, the more significant the performance parameter; red arrows point out such behavior. According to
Table 5, these specimens have the lowest mass and the smallest capacity to absorb energy,
Table 4.
About the peak force, in
Figure 12, it is possible to notice that the lower the ratio ‘
b/
h’, the lower the peak force (histograms 1 and 2). Also, it is possible to notice that specimen ‘0’ without triggers had the highest peak force (histogram 5). According to [
30], windowed samples have reduced this performance parameter, which is confirmed in the present work. The order of increasing loadings is indicated by the numbering on the histogram.
Figure 13 shows that the mean force depends on the energy absorption and on the displacement. Its variation among the samples follows the same trend of energy absorption (
Figure 10). This parameter measures the efficiency of the energy distribution during compression displacement. The ST_W_20 × 20 and 15 × 20 samples exhibit the highest efficiency in this context, as pointed out by the red arrows.
In
Figure 14, the LR performance parameter is shown. This measures the energy dissipation capacity based on a displacement of 20 mm for all the samples. Among the specimens tested, the ‘ST_W_20 × 30’ and ‘ST_W_15 × 30’ had the lowest performance, indicating a low ratio between peak and mean forces.
Due to their low energy absorption efficiency, the samples ‘ST_W_20 × 30’ and ‘ST_W_15 × 30’ with the lowest
‘b/
h’ values had the highest LR parameters. The samples ‘ST_0’ (2.85) and ‘ST_W_15 × 20’ (2.89) had similar values, as seen in
Figure 14, but still more than one. The sample ST_W_20 × 20 (2.40) had a better performance despite being greater than one.
Figure 15 depicts the parameter ‘
η’, which compares the mean force to the effectiveness of the material applied to the structure. Notably, the ‘ST_W_20 × 20’ and ‘ST_W_15 × 20’ samples had values near 1, indicating superior performance. Conversely, the ‘ST_W_20 × 30’ and ‘ST_W_15 × 30’ samples exhibited the poorest performance, as highlighted in
Figure 14. The evaluation of the ‘0’ sample reveals the evident positive impact of patterned windows on this parameter.
Based on the performance parameter values, the samples ST_W_20 × 20 and ST_W_15 × 20 showed better performance in progressive buckling. The polymeric honeycomb structure was used to fill the samples, and the results are shown in the next Section. The bar graphs repeat the non-filled parameter results to establish a reference for performance comparison.
4.2. PET-G and ABS-Filled Samples
The characteristics of the printed honeycomb filling the metal square thin-walled tube were analyzed in
Section 3.1, resulting in 77 completed cells in the transverse section measuring 50 × 50 mm
2. Cellular structures possess an essential feature: their relative density. It is the ratio between the density of the cellular material, represented by ‘ρ*’, and the material density, represented by ‘ρ
s’, that the cells are made of.
According to the material supplier, PET-G has a density of 1270 kg/m
3, while ABS has 1060 kg/m
3. These materials have a relative density of about 20% and 25%, respectively. According to research by [
51], when the relative density reaches around 30%, the cellular structure behaves more like a solid with isolated pores rather than a cellular structure.
The energy absorption decreased in the windowed specimens independent of the polymer type. The decrease in energy absorption comparing the ‘ST_0_FF_P’ with ‘ST_W_20 × 20_FF_P’ was about 13.6% and, for the ABS specimens ‘ST_0_FF_A’ and ‘ST_W_20 × 30_FF_A’, the drop in values was approximately 24.4%. This result did not corroborate with [
30], which presented lower decreases in the windowed samples.
In addition,
Figure 16 points out that, independent of the polymer, the presence of windows with different sizes did not significantly affect the performance of hybrid tubes. This is most evident in the PET-G samples and less noticeable in the ABS hybrid tubes. Nevertheless, the ABS specimens presented a higher absorption than PET-G samples, considering the same windowed tube. The increase in the energy absorption between the samples ST_0_FF_P and ST_0_FF_A was about 18.4%; 12.7% for samples ST_W_20 × 20_FF_P and ST_W_20 × 20_FF_A; 7.2% for samples ST_W_20 × 30_FF_P and ST_W_20 × 30_FF_A; 11.6% for samples ST_W_15 × 30_FF_P and ST_W_15 × 30_FF_A and 10.8% for samples ST_W_15 × 20_FF_P and ST_W_15 × 20_FF_A.
The SEA parameter,
Figure 17, was more effective for the ABS samples, presenting results higher than those of PET-G samples. Such behavior is justified by the higher energy absorption capacity (
Table 4) and lower mass (
Table 5). The augmentation between the samples ‘ST_0’ filled with ABS and PET-G was about 23.2%; for the samples, ST_W_20 × 20_FF was 15.8%; for samples, ST_W_20 × 30_FF was 10.4%; ST_W_15 × 30_FF was 15.5% and 14.3% for the 15 × 20 sample.
The peak force is a parameter used to assess the performance of crash boxes,
Figure 18. This force measures the initial peaking load due to the impact of another mass in an axial direction. This is the force needed to cause the first folding. Usually, it is expected to be as low as possible because it determines how much force is necessary to drive the energy absorber to deform before transferring the force effect to the car body.
In some PET-G samples, the peak forces exceed those of ABS polymers, such as ST_0_FF_P, ST_W_20 × 20_FF_P and ST_W_20 × 30_FF_P. The difference between peak forces values for the samples ST_W_20 × 20_FF_P/ST_W_20 × 20_FF_A and ST_W_20 × 30_FF_P/ST_W_20 × 30_FF_A is about 10.3% and 8.4%, respectively. A reasonable explanation for this behavior lies in the less rigid nature of PET-G, which, when deformed further, leads to more significant internal pressure within the thin-walled tube.
The samples ST_W_15 × 30_FF_A and ST_W_15 × 20_FF_A were the exceptions. From these findings, the difference was about 4.54% between the samples ST_W_15 × 30_FF_P and ST_W_15 × 30_FF_A. The sample ST_W_15 × 20 is the one with the smallest trigger area.
As indicated in
Figure 18, the filled tubes exhibit significant peak forces regardless of the polymer material used. This observation was noted by [
24] and has been corroborated by the present research. The high forces can be attributed to the lateral confinement of the core within the tube, which generates pressure on the tube’s faces, as seen in ST_0_FF_P and ST_0_FF_A. It is worth noting that the ST_W_15 × 20, ST_W_15 × 20_FF_P, and ST_W_15 × 20_A samples have the smallest window area (300 mm
2), and the peak forces are evenly balanced. Therefore, it could be concluded that the patterned window did not significantly affect the sample’s performance in this case.
The mean force,
Figure 19, shows the energy absorbed during compression displacement. This accomplishment parameter was better for ABS specimens than those of PET-G. The highest value registered was 13.09% between ST_W_20 × 20_FF_A and ST_W_20 × 20_FF_P.
The LR parameter denotes the ratio between the peak and mean forces,
Figure 20, and its value is considered ideal when it is close to one (01). For most samples, the peak forces are more significant in those of the PET-G polymer (
Figure 18), while the mean force was consistently more outstanding in the ABS samples, see
Figure 19. For the samples in ABS, this equilibrium is better reached, especially for the ST_W_20 × 20_FF_A followed by the ST_W_15 × 30_FF_A and then by the ST_W_20 × 30_FF_A and ST_W_15 × 20_FF_A samples. Comparing the samples filled with PET-G and ABS, the ST_0 samples presented a difference of about 20.75%; sample ST_W_20 × 20_FF was 24.83% and 16.34% for ST_W_20 × 30_FF. The LR significantly improves with the presence of the polymeric core when compared to the outcomes of non-filled samples. Despite a rise in peak forces (
Figure 17), there is a noteworthy increase in mean force (
Figure 19).
Considering that ‘
η’,
Figure 21, compares the mean force with available strength provided by the material applied to the energy absorbers, the ABS samples had an equilibrium in these values very close to 01 (one), demonstrating that these samples effectively used the strength available in the composite structure. On the contrary, the
η values were all under 0.9 for the PET-G samples.
Figure 22a,b illustrates the curves concerning the energy absorbers under axial crushing. A sample steadying in the testing machine led to an offset before the load increased. The filled specimen ‘0’ had the major peak force and energy absorption compared to the other specimens, independent of the core material.
Figure 16,
Figure 17,
Figure 18,
Figure 19,
Figure 20 and
Figure 21 and
Table 4 also support this result.
The samples’ behavior was almost identical in the elastic phase before the load peaked.
Figure 22a illustrates that the samples’ behavior in the elastic zone is parallel, and the differences among the curves mentioned earlier were due to loading accommodation. The elastic phase for specimens ST_W_15 × 30_FF_P and ST_W_15 × 20_FF_P matched, with a slight deviation for the 20 × 30 mm
2 sample. A greater offset was detected in specimen ‘0’ and 20 × 20 at the elastic region, even though both specimens start their deformation at zero. However, specimens ST_0_FF_P and ST_W_20 × 20_FF_P showed correspondence in the elastic zone.
Based on
Figure 22b, the ABS hybrid specimens show a more uniform elastic phase than the PET-G specimens. This consistency suggests that the windows have not significantly impacted the slope of the curve at this phase. Additionally, using ABS material in the core may ensure equitable behavior.
Figure 18 exhibits that the peak forces have values near each other. After the elastic phase, the effects of the polymer window and core become more apparent in
Figure 22a,b.
The stabilization in the testing machine was more extensive in sample ‘0’ than in the windowed samples, evidencing the positive effect of the triggering mechanism at the beginning of the crushing process. The offset between the curves in the elastic phase could not be attributed only to the material type used in the core because, if so, the windowed sample curves would be further apart in this phase. Thus, it may be inferred that the presence of the windows was a major factor, especially after the peak force. As said, the patterned windows trigger the specimens, inducing the energy absorber’s metallic part to primary deformation, predominating in the elastic phase over the core. Such a configuration was able to be observed because the core was not bonded to the metallic matrix.
Figure 23 illustrates the ST_W_15 × 20_FF_P initial deformation, highlighted by the red arrows. The same deformation mechanism was noticed for all specimens where the steel stood out during the crushing load. The slope in the elastic zone for sample ST_W_15 × 20_FF was about 131 kN/m; 119 kN/m for ST_W_15 × 30_FF; 98 kN/m for ST_W_20 × 30_FF, independent of the core material, showing that an increase in the window area leads to lower stiffness which corroborates the above statement. Considering the ST_W_20 × 20_FF_P, the stiffness was about 126 kN/m.The composite steel/polymer undoubtedly withstood more loading than the metallic samples, as discussed above, see
Table 4.
Figure 24,
Figure 25,
Figure 26,
Figure 27 and
Figure 28 depict the curves load
versus displacement in pairs considering the same energy absorber windowed geometry, highlighting the contribution of different core polymer materials.
In the plastic phase, after the peak load, the core contribution in the crushing process became more noticeable, even pointing out that the ABS core led the absorbers to better performance,
Figure 24,
Figure 25,
Figure 26,
Figure 27 and
Figure 28. The slope in the elastic phase was 96 MPa for PET-G and 158 Mpa for ABS in specimen ‘0’, demonstrating greater stiffness for the ABS specimen, as verified in the work of [
52].
Figure 29 depicts the stiffness of the filled samples, and from
Figure 24,
Figure 25,
Figure 26,
Figure 27 and
Figure 28, the slope was considered the same for both specimens with PET-G and ABS cores. A basic fitting applying a cubic fit considering the stiffness values in the elastic phase presented an R
2 regression factor equal to one (01). For that, the stiffness values in descending order were considered, i.e., ST_W_15 × 20_FF, the highest value, and the lowest value ST_W_20 × 30_FF. This highlights that as the window area increases, the stiffness in the elastic phase decreases, such as a cubic curve.
In addition, using an interaction evaluation between two categorical factors, it is possible to evaluate how one factor depends on the value of the second one. Minitab Statistical Software® (version 17) allowed such analysis considering the following groups where the relation was the common factor in all analyses. The plots displayed the mean for the levels of one factor, in case , , , η and LR versus considering non-filled and PET-G/ABS-filled energy absorbers.
The graphics in
Figure 30 show no significant interaction between the factors, regardless of whether the energy absorbers were filled or the material used. Also, the continuous response curves were not linear but parabolic. ABS energy absorbers (green curves) were in better condition for specific performance parameters, such as
,
SEA,
,
η and
LR, confirming some previous analyses,
Figure 16,
Figure 17,
Figure 18,
Figure 19,
Figure 20 and
Figure 21. In
Figure 30d, there was an exception where the
values for samples filled with polymeric honeycomb intersected at
values between 0.2 and 0.3. This interaction effect implies that the correlation between
and
is somewhat influenced by the material used in the core.
was marginally inferior for energy absorbers filled with ABS when
was above 0.3 and slightly superior under this value.
Upon conducting additional analyses through an optimization response, it was evident that by optimizing the performance indicator, , significantly impacted the composite desirability parameter (output from the optimization analysis). This finding confirms the correlation between the value and the mechanical design of the sample, as discussed later.
It should be noted that assessing the performance of energy absorbers, especially those with a polymer core, can be a challenging task based exclusively on interpreting the force x displacement curves or the interaction plots analysis considering the various performance indicators with different readings (
Table 4). A response optimizer tool that shows how different experimental settings affect the predicted responses for a stored model can help pinpoint the most optimized configuration. It is useful when evaluating the impact of multiple variables on a response, helping to identify the best
ratio and core material from the testing samples carried out.
Table 6 shows each response’s requirements (settings) to achieve such a goal, asking to minimize, target, maximize, or not optimize the response for the performance indicators (
,
,
,
,
and
η). The responses concerning the
,
,
and
η were kept the same in all trials, in case maximized response for
and
and target in 01 (one) for
and
η.
In addition, the option ‘Importance’, which determines the relative status of multiple response variables, was first kept at 01 (one), the default value, for all performance indicators. It can vary from 0.1 to 10. Four experiments were carried out where the fourth was the same as Exp. 2 (
Table 6), but the ‘Importance’ option was chosen to be 10 for the
,
and
.
Other variables considered in the response optimization were the ratio, which considered the width and height, respectively, of the window in the windowed samples that could be filled with the honeycomb core or not. Restating the ratios ‘1’ for samples window 20 × 20, 0.75 for samples window 15 × 20, 0.67 for samples window 20 × 30, and 0.5 for samples window 15 × 30. The core presence was treated considering ‘0’ for non-filled samples, ‘1’ for samples filled with PET-G, and ‘2’ for those filled with ABS.
Individual (d) and composite (D) desirability assess how well a combination of variables satisfies the goals defined for responses. Individual desirability evaluates how the settings optimize a set of responses overall.
Evaluating experiment 01 (Exp. 01—
Table 6), ‘
D’ was about 80%. Individual desirability was more effective in maximizing the
(
d = 75.5%) and
(
d = 79.6%) than minimizing the
(
d = 65.6%). The response values for
and the presence or absence of the polymer core were 0.82 and ABS (2), respectively.
For experiment 2 (Exp. 02—
Table 6), ‘
D’ was about 79.3%. The individual desirability denoted that maximizing
(
d = 75.6%),
(
d = 79.6%), and
(d = 75.7%) led to a ‘
D’ very close to that of the Exp. 01.
was minimized, reaching a
d = 65.6%. The experiment showed that maximizing the
did not favor the composite desirability. The response values for
and the presence or absence of the polymer core remained the same as in experiment 01.
The third experiment (Exp. 03) maximized the (d = 97.0%), (d = 92.4%), and (d = 97.1%). was not optimized, resulting in a composite desirability, ‘D’, of about 94%. The response values for and the presence or absence of the polymer core were 0 (no window) and an undefined material when the value was 1.52, respectively. Notice the individual desirability for , and in Exp. 03 was better than the other experiments, showing that exerted an essential role in the analysis.
In addition, when the material in Exp. 03 is constrained to be equal to 1 (PET-G) or 2 (ABS) values, the composite desirability reaches the values D = 78.7% or D = 0, respectively. Compared to other experiments, the ‘D’ value for Pet-G is lower, and for ABS, such a condition could not be accomplished using samples without windows. Therefore, the mechanical behavior of windowed samples seems more consistent, resulting in a more efficient optimization of composite desirability (D). In this experiment, the optimal response showed improvement compared to the previous two attempts. However, it suggests that the optimization was targeted toward a non-existent material.
The fourth experiment (Exp. 04) applied the same settings of Exp. 02, but the option ‘Importance’ setting was fixed as ten (10) for the performance indicators , , and . The composite desirability was 74.4%, and the individual desirability was (d = 75.6%), (d = 79.6%) and (d = 75.7%), and (65.6%). These results did not indicate any impact on the optimization process when setting the ‘Importance’ to 10. The composite desirability is the same as Exp. 02.
Table 7 depicts the optimized values ‘y’ for each performance indicator to be expected if the current variables (
and core material) are adopted in each experiment.
Following the
ratio of experiment 2 in
Table 7, an optimized patterned energy absorber was proposed, denominated ST_W_16.4 × 20_FF_A. The samples are stiffer with a height of 20 mm, as depicted in
Figure 29; hence, the size was maintained at 20 mm while the width was adjusted, leading to a 9.3% larger area than sample ST_W_15 × 20_FF. As expected, the new sample had a mean stiffness of 126.6 kN/m between ST_W_15 × 20_FF and ST_W_20 × 20_FF.
Figure 31 illustrates the curves of crush testing on a non-filled sample and two filled pieces. The three specimens presented a symmetric collapse mode, as seen in
Figure 31b–d. The mass values were 128.1 g for the non-filled specimen, 164.9 g for filled sample one, and 164.2 g for sample two. As observed in other samples, the elastic phase was too close to each other, specifically for the filled samples. The peak force for filled specimens was greater than for non-filled samples, and the reason for this was presented previously. The curves for filled samples remained coincident until a displacement of 10 mm, after which they started to diverge.
Table 8 shows the performance parameter,
Table 1, calculated for experimental curves (ST_W_16.4 × 20_FF_A_S1 and ST_W_16.4 × 20_FF_A_S2) and compared with the optimized results,
Table 7—Exp. 02.
The fifth column of
Table 8 indicates that the most significant discrepancy occurred between experimental and optimized values referent to LR and
η parameters. However, the percentage is still small.