3.1. Thermal analysis
Figure 1 shows the thermogravimetry (TGA) and derivative (DTG) curves of the composites with Pinus CNF and Eucalyptus CNF, as well as the LDPE matrix.
For the composites, two events can be observed in TGAS curves. The first one refers to the degradation of CNF in the temperature range between 284 and 362 ºC, where there was a small weight reduction between 0.5 and 2.5%, which was expected considering the low content of CNF. The second event pertains to the degradation of LDPE, above 465°C. It’s observed that due to the centrifugation and embedding process, as well as the low CNF content, no weight variation due to water loss can be observed. Heating of the composites shows a broad, somewhat noisy melting curve due to the relaxation processes in the sample.
Table 2 shows the weight percentages at maximum temperatures for the two identified degradation processes. There is a tendency for the thermal stability of the polymer to increase with the addition of CNF as the maximum temperature of the second event assigned to LDPE is shifted from 467 ºC to 476 ºC.
This occurs due to the presence of incorporated CNF that serves as a barrier to degradation.
Ferrer et al. (2016), in a study with CNF/polyolefin blend, observed that the composites slightly reduced thermal stability with the CNF content varying from 1 to 3 wt. %, explained by residual cell wall components, different from cellulose and lignin, present in the fibers.
Table 2
Thermogravimetric analysis of composites with Pinus CNF, Eucalyptus CNF, and LDPE
| First Event | Second event | Residual weight (%) |
Composition (wt. %) | T Max (ºC) | Weight loss (%) | T Max (ºC) | Weight loss (%) |
LDPE | - | - | 467 | 66,27 | 1,65 |
LDPE/ Pinus CNF 1% | 351 | 0,29 | 469 | 67,59 | 2,12 |
LDPE/ Pinus CNF 2%. | 356 | 0,46 | 471 | 61,33 | 2,54 |
LDPE/ Pinus CNF 3%. | 357 | 1,34 | 476 | 65,93 | 1,38 |
LDPE/ Eucalyptus CNF 1%. | 284 | 0,46 | 475 | 70,77 | 0,2 |
LDPE/ Eucalyptus CNF 2%. | 355 | 0,46 | 470 | 67,04 | 2,8 |
LDPE/ Eucalyptus CNF 3%. | 362 | 2,48 | 474,1 | 74,63 | 0,83 |
The difference in burn residue values between pure LDPE and LDPE composites with CNF suggests the occurrence of chemical reactions between the LDPE and CNF during processing or burning of the material. Volatilization of products may indicate the release of gases resulting from chemical reactions between the components of the composite, which may include the breaking of chemical bonds and the formation of new products. The weight loss in the first event is an indication of the release of volatiles, pine NFC volatilizes less than eucalyptus NFC.
Figure 2 shows the DSC curves for the LDPE and the composites recorded during the first heating and subsequent cooling. Note here that the first heating for DSC relates to crystallinity since glass transition processes cannot be probed within the temperature range accessed.
It was found that CNF addition shifted the melting temperatures to higher values than for the neat LDPE. Due to the small proportion of reinforcement to LDPE, the variations in thermal properties did not produce a marked effect, reflected in the phenomena dependent on thermal stability. The DSC curves obtained for the pure matrix as well as for all composites were conventional and similar, characteristic of semicrystalline materials (Oliveira de Castro et al. 2015).
During cooling, a transition near 60°C was observed, related to the relaxation of LDPE after crystallization. The LDPE showed onset of movement in the chain segments around 60°C, which is said to be the glass transition temperature (Tg). The composites showed Tg in the range of 57 to 60°C. The blends exhibited higher crystallinity and higher Melting temperature (Tm) compared to LDPE.
From the DSC curves, data was obtained for the interpretation of the thermal events, which are presented in Table 3.
Table 3
Thermal properties of materials
Treatment (wt. %) | ΔHm (J/g) | ΔHc (J/g) | MT (ºC) | %C |
LDPE | 163,83 | 96,83 | 113,57 | 56% |
LDPE/ Pinus CNF 1%. | 169,60 | 124,78 | 115,17 | 59% |
LDPE/ Pinus CNF 2%. | 170,44 | 107,42 | 117,42 | 60% |
LDPE/ Pinus CNF 3% | 157,44 | 112,27 | 116,33 | 56% |
LDPE/ Eucalyptus CNF 1%. | 156,28 | 95,08 | 116,46 | 54% |
LDPE/ Eucalyptus CNF 2%. | 150,89 | 101,24 | 115,69 | 53% |
LDPE/ Eucalyptus CNF 3% | 149,16 | 154,51 | 115,24 | 53% |
ΔHm: Melting Enthalpy; ΔHc : Crystallization Enthalpy; MT: Melting Temperature; %C: Degree of crystallization in %; ΔHm0 = 290J/g (Wunderlich, 2012).
The composites with Pinus CNF showed higher crystallinity than LDPE, while the composites with Eucalyptus CNF showed lower crystallinity than LDPE. The type of CNF affected the arrangement of the chains in the composite, the degree of crystallinity of a material is influenced by the ordered arrangement of its molecular chains, which in turn depends on the cooling rate during solidification. The slower the cooling, the more time the molecular chains must organize and align themselves to form a more ordered configuration. Since nucleation is the initial process of crystallization, it’s possible to conclude that the addition of Pinus CNF to LDPE works as a nucleating agent, promoting the organization of lamellae in the polymer structure, resulting in an increase in the degree of crystallinity compared to pure LDPE, indicating that the composite reinforced with Pinus CNF presented better interaction between the groups present in the chains, so that their alignment was better stabilized, compared to the composite reinforced with Eucalyptus CNF. The greater chain flexibility of the Eucalyptus CNF reinforcement corroborates this result. The kinetic factors that will be presented next also play an important role in the process, since the less rigid chains present in the Eucalyptus CNF reinforced composite may require considerable time for crystallization.
3.2. Rheology
Figure 3 shows the flow curves for composites with 1 wt.% of CNF selected for filament extrusion and 3D printing. As can be seen from the data presented, the processability of the LDPE matrix is affected by the addition of Eucalyptus nanofibers to the polymer. Whereas the incorporation of Pinus CNF has virtually no effect on the rheology of LDPE in the range of tested shear rates, the incorporation of Eucalyptus CNF leads to a drop in the shear viscosity. In contrast to this, the shear thinning behavior of the composites is essentially resembling the shear thinning exhibited by the LDPE matrix.
At low strain rates, the contribution of the cellulosic phase was shown to be more apparent. In another study with LDPE, the viscosity of matrices was higher compared to the addition of 10 wt. %, filler, also at low shear rates (Shumigin et al. 2011).
The addition of Eucalyptus CNF reinforcement to LDPE slightly reduces the viscoelastic range. This behavior can be attributed to the degree of polymer-reinforcement interaction, which requires lower shear stress and shorter relaxation times for the composites to flow. According to Han (2007), the relaxation of the dispersed phase itself is often longer than the relaxation of the polymer chains of the individual components.
The shear viscosity of the composite melts depends on the concentration, size, shape, distribution of the CNF in the matrix, and the physical-chemical interaction between matrix and CNF (Mariano et al. 2014). The presence of CNF disrupts the normal flow of the polymer and hinders the mobility of the chain segments. Ideally, the morphology of eucalyptus CNF, which is shorter in length than pine CNF, as cited by Lavoratti et al. (2016), performed under the same conditions and method, facilitates processability because the shorter the fiber, the better the dispersion of the material and the lower the resistance to deformation, thus reducing viscosity. The polymer chains are easier to orient and as a result can accelerate the flow. Thus, there is more shear thinning, which explains the lower viscosity of the matrix. Therefore, higher CNF content and length hinders the dispersion of the phase in the polymer and increases the viscosity of the loaded polymer. Based on the viscosity, adding 1 wt. % of CNF to the samples makes them stiffer for Pinus CNF compared to Eucalyptus CNF. The fact that we have a higher viscosity is due to the Pinus NFCs occupying a larger volume fraction than the eucalyptus fibers due to their size.
3.3. Flexural strength
Figures 4 and 5 show the averages of the flexural properties of the injected specimens, interpreted based on the values of modulus of rupture (MOR) and modulus of elasticity (MOE).
Except for the composite with 3 wt. % of Pinus CNF, all mixtures showed an increase in flexural strength properties. The increase in the proportion of CNF reduced the MOR for Pinus CNF and showed no significant difference for Eucalyptus CNF. The most flexural resistant composite was with 3 wt. % Eucalyptus CNF with 6.41 MPa and the lowest MOR value was observed in the composite with 3 wt. % of Pinus CNF, 4.93 MPa. According to English at al. (1997), increasing the content and length of fiber loading in the LDPE matrix results in stiffening of the composite materials and, therefore, a decrease in toughness and flexural strength is observed. The decrease in MOR of the composite compared to pure polymers may also be associated with the mechanical performance may be impaired due to the nature of the CNF. Lavoratti et al. (2016) observed that Eucalyptus CNF forms a more open network of fibrils, while Pinus CNF has a clumped formation, which limits the quality of CNF dispersion in the polymer matrix leading to lower mechanical strength values.
The MOE values increased both with addition of CNF reinforcement, as with the increment in the proportion for all composites. The composite with 3% Eucalyptus CNF (wt. %) showed the highest value also for stiffness, 155.22 MPa and the lowest value of MOE was observed in the composite with 2% Pinus CNF (wt. %), 126.07 MPa, still higher than LDPE. According to Ahmadi et al. (2017), the increase in composite stiffness is explained by the reinforcing action of CNF applied to LDPE. Due to the intrinsic stiffness of CNF, the storage modulus of the composites is higher than LDPE, indicating that stress is transferred from the matrix to the cellulose fibers. The filler particles restrict the deformation of the material.
With the increase of the reinforcement proportion, the samples become stiffer for Eucalyptus CNF in comparison to Pinus CNF. As presented, this agrees with the results for composite viscosity, since the composite with Eucalyptus CNF showed lower viscosity rates than the one reinforced with Pinus CNF. The lower viscosity of eucalyptus relates to a larger degree of orientation of CNF along the flow and also during injection. And more orientation results in larger flexural quality.
3.4. Tensile strength of injected specimens
At Figs. 6 and 7 the averages of the tensile properties for the samples produced by injection are presented, where the results for tension at maximum force (tension) and tensile modulus of elasticity (E) are evidenced.
The tensile strength increased for all treatments with the addition of CNF. The highest tensile strength was observed for the composite with 3 wt. % of Eucalyptus CNF, 11.45 MPa, while the lowest value was for the composite with 1 wt. % of Pinus CNF, 10.88 MPa, however, higher than the pure LDPE (10.53 MPa). The results are in agreement with the literature. Gray et al. (2018), when studying formulations injected with low loading of CNF + LDPE concludes that the best treatment was affected by 1 wt. % of CNF, achieving tensile strength of 8.6 MPa, lower than found here. Ahmadi et al. (2017) studied LDPE composite with CNF and observed that with increasing concentrations of CNF, the tensile strength of the composites was gradually increased, reaching the maximum values of 15.1 MPa for the composite containing 3 wt. % of CNF (wt. %). The mechanical properties of composites are related to the amount of CNF and the formation process.
With increasing CNF content, the E becomes higher in relation to LDPE indicating the reinforcing action of CNF. Such behavior is expected since, according to Marcovich et al. (2004), the modulus of a filled system depends on the properties of the two components, the filler and the matrix, therefore, the E of CNF, being greater than the E of LDPE, causes an increase in the elastic modulus of the composites. The increase in E of the composites relative to LDPE is also associated with the mobility restrictions of the macromolecules imposed by the presence of CNF.
In general, in the tensile test, the Eucalyptus CNF showed superiority to the Pinus, caused by the variation in size and formation of the CNF, the Eucalyptus CNF is shorter (Lavoratti et al. 2016) favoring the processability and encapsulation of the composite, associated with a better dispersion of the CNF in the matrix. Another corroborating factor is that the viscosity indexes of the Eucalyptus composite were lower, favoring the processing and consequently the mechanical quality of the composite produced.
3.5. Tensile strength of 3D printing specimens
The tensile properties of the FDM-produced composites are shown in Fig. 8 and Fig. 9. The highest values found for tensile strength and tensile modulus of elasticity were 9.15 and 114.33 MPa respectively. Compared to the results found for injected parts, the processing method is the main factor of interference in the mechanical properties of the composite.
An improvement in stiffness was observed with the addition of CNF to the polymer, indicating that the stress was transferred from the matrix to the cellulose nanofibers, which restrict deformation. The higher Mt of the composites favors the self-supporting characteristic of the part and decreases the effects of shrinkage and warping during printing facilitating the process.
As with the injected composites, with the addition of 1 wt. % of CNF filler, the samples make them stiffer for Pinus CNF compared to Eucalyptus CNF, based on the elasticity data serving as a measure of molecular stiffness this occurred due to the lower viscosity of the composite with 1 wt. % of Eucalyptus CNF, since viscosity is the "coefficient of rigidity" of the fluid to movement, the higher the viscosity, which hinders the fluidity of the material, the higher the modulus of elasticity and greater stiffness.
The composites with Eucalyptus CNF showed superior strength, also explained by the lower viscosity, since less viscous materials facilitate the processability of the material when printing the piece and consequently favor the mechanical quality of the final material.
The strength and stiffness are also affected by the levels of crystallinity (%) that significantly affect the properties of the polymers. The composite with 1 wt. % of Pinus CNF showed %C = 59%, higher than the composite with Eucalyptus CNF. According to Furukawa et al. (2006), polymers with higher crystallinity have higher glass transition temperature, i.e., they delay the relaxation of chains and last longer before reaching the elastomeric state and consequently have higher stiffness.
The printing speed doubled with the addition of CNF, 2 mm/s for the composites and 1 mm/s for LDPE. There are several factors that can influence the printing speed, in the specific case, the composite showed higher mechanical strength than LDPE, which may allow a higher printing speed without compromising the part quality.