This section discusses and analyzes the effects of Nano indentation and Nano scratch tests.
3.1. Nanoindentation
SEM and FESEM were used to observe the surface of the particle and its properties. Figure 5 gives the topography of the surface of the produced granular alumina, its nanoparticles, and the holes on the covers. Figure 5(a) demonstrates the body of this article with a magnification of 37, and a diameter of 1.7 mm. FESEM images were taken with the embellishment of 1 µm and 200 nm (Figs. 5(b-d)) to see a better view of the surface of their holes. Additionally, Fig. 5(b and d) delineates the pores with diameters of 264.17 nm and 551.59 nm, which are abundant on the surface. Thus, this material contains porosity in the range of micrometers and even nanometers. Also, Fig. 5(c) shows the nanoparticles of this granular material, which is about 17 nm on average. It should be noted that the nanoparticles are firmly attached.
Figure 6 delineates the energy-dispersive X-ray spectroscopy analysis of this particle (EDX diagram), which was taken from the SEM test. This figure shows the volume of elements in the particle. As can be seen from the picture, this substance is almost pure and consists only of aluminum and oxygen elements, which form the parts of alumina. The other peaks in the figure represent the gold element, which is also visible in the EDX diagram as the material is gold-coated for the SEM test.
To find the roughness of the nanoscale granules of alumina, AFM was used to observe the surface morphology in a state where there was no indentation and no scratch on the material. The surface shown in the image is the surface of the produced specimen. Figure 7(a) demonstrates the morphology of the alumina surface. There are many ups and downs on the surface due to porosity. As seen in Fig. 7(b), the roughness of the material is about 31.524 nm on average, and as expected, granular nanoparticles of alumina have a high hardness. One reason for this is the porosity of the specimen.
As stated above, the mechanical properties of the nanoparticles were obtained from the load-displacement curves. Therefore, the nanoindentation testing was done to achieve these results. Figure 8 displays the nanoindentation test of alumina nanoparticles under three different normal loads of 200 µN, 300 µN, and 400 µN. Consistently, Fig. 8(b) illustrates the morphology of the surface of the alumina nanoparticle in the indentation area under 400 µN using an AFM. Figure 8(a) represents the load-displacement diagram for these three normal loads. Conducting these tests is hard, which is due to the excessive porosity of the material -i.e., there is no smooth and uniform surface. However, three different types of nanoindentation testing were conducted using each force to improve the chance of obtaining mechanical properties. The reason for the fact that under each power, the depth of penetration in the particle is very different at each indentation, and suddenly a significant change in intensity is observed is the nature of the sample that is very porous. The tip begins to indent and then encounters the porous space, and suddenly the underneath is emptied, followed by a notable change in the specimen. The lab results from support such behavior.
The load-displacement curve also demonstrates reduced elastic modulus. So that the slope of the curve in the unload region expresses the reduced elastic modulus. Consequently and having the reduced modulus of elasticity and modulus of elasticity of the indenter’s tip, the modulus of elasticity of alumina nanoparticles is obtained from Eq. (3). Figure 9(a) illustrates the reduced elastic modulus under three forces of 200 µN, 300 µN, and 400 µN for granules of alumina nanoparticles. The reduced elastic modulus does not follow a particular process with an increase in the force. That is, with the rise of the load, the reduced elastic modulus increases at first and then decreases. It should be noted that three types of indentation were conducted under all three different forces. The figure illustrates each of these indentations under each force with an error value of less than 5%. Moreover, the values of the modulus of elasticity do not differ significantly under all three forces. With an error value of less than 5%, this difference is within a specific range. Consequently, by taking the average value into account, the reduced elastic modulus is equal to 12.6 GPa. In other words, under these three different forces (200 µN, 300 µN, and 400 µN), the reduced elastic modulus of alumina nanoparticles reached 12.3 GPa, 12.9 GPa, and 12.6 GPa, respectively. In addition, this process is uncharacteristic due to the number of holes and pores of the produced material, which is justifiable. Meanwhile, to find the reduced elastic modulus, the hardness of the nanoparticles can also be calculated from the load-displacement curve. Figure 8 and Eq. (5) were used to obtain these results, and the obtained values were shown in Fig. 9(b). This shape is irregular, and as the force increases, the hardness decreases at first and then increases, which means that the mechanical properties of the material do not depend on the load. In other words, with an error approximation of about 16%, the hardness value for granules of alumina nanoparticles is 0.433 GPa. Moreover, the hardness under the forces 200 µN, 300 µN, and 400 µN are 0.43 GPa, 0.4 GPa, and 0.47 GPa, respectively.
Due to the reasons given above and to determine whether plastic or elastic deformations are more evident in the material under study, the plasticity index was obtained using Eq. (6) and Fig. 8, under three different forces of 200 µN, 300 µN, and 400 µN (Fig. 10). This figure shows that the plasticity index increases and then decreases with an increase in the force and does not follow the incremental and declining trend like the elastic modulus and hardness. It is also due to the number of holes and pores in the material. Moreover, as shown in the chart, the plasticity index has the same trend as the modulus of elasticity. The plasticity coefficients under these three different forces are equal to 0.8, 0.88, and 0.81, respectively, with an error of less than 10%. As a result, the magnitude of the plasticity index of the produced granular alumina nanoparticles is 0.83, which indicates that this material has a higher plasticity property than its elastic property. Therefore, this specimen is a relatively plastic material.
3.2. Nano scratch
The scratch process is the introduction of an indenter to the surface, which moves laterally. There have been many efforts to determine this trend in the past years. A Nano scratch test can present the qualitative assessment of the tribological specifications of the surface layer of the materials. This method was used by Hodzic et al. [27]. The Nano scratch test on the material surface was performed under two different normal loads. Then, surface morphology was characterized using the AFM to extract typical longitudinal and cross-sections profile. It was also used to obtain the groove and pile-up areas that were determined using the integration method. Many useful things can be observed from scratch tests in two different normal loads 300 µN and 400 µN, as it is seen in the following figures. However, none of the attempts achieved a scratch test at 200 µN, which is only due to the high porosity of the surface, which is not a smooth and uniform surface. Figure 11 represents the three-dimensional (3D) images of the surface morphology of two different normal loads. With the increase of the average load, the scratch grooves turn to be more visible. As seen in this figure, there are several ups and downs in the surface of specimens. Figure 12 delineates the typical longitudinal section profiles of these visible scratch grooves. It was demonstrated that the scratch depths increase from 300 µN to 400 µN.
Figure 13 demonstrates a specific cross-section profile of the scratch groove at the average loads of 300 µN and 400 µN. Pile-ups and scratch widths are critical factors that can be used for understanding the mechanisms related to nano scratch behavior. Clearly, as the scratch test proceeds, the scratch depth becomes more profound due to the average load increase. Also, the material pile-up exists on both sides and the two ends of the scratch. Pile-ups form and their height are identical to both parties. Furthermore, the scratch viewpoint shows the initial resistance. It is due to the light scatter from the surface. The scratch depth, scratch width, and pile-ups are considered as the signs of scratch resistance obtained from AFM images that are calculated according to Figs. 11 and 13. These parameters are listed in Table 1. As listed, with an increase in the average scratch load, the pile-ups of the scratch depth grow. Thereby, high plasticity could be observed, and many ripples on the surface of both sides and the pile-up height. Furthermore, we know that pile-up is due to plastic deformation; therefore, more pile-ups are related to more plastic deformation. Consequently, the scratch width increases. About the scratch width, it is notable that the specimens or forces with more plastic deformation (or more pile-up) have more scratched width. These results are consistent with the findings of Liu et al. [24] in various normal loads on polycarbonate (PC).
Table 1 Parameters deduced from a cross-section of the scratch test
Load | Scratch depth | Scratch width | Pile-up |
300 µN | 121.83 nm | 1.160 µm | 48.573 nm |
400 µN | 135.20 nm | 1.328 µm | 56.965 nm |
Figure 14 illustrates the coefficient of friction on the surface of the produced granular alumina nanoparticles under 300 µN and 400 µN at the surface of the scratches. As shown, the friction coefficient grows with an increase in the force. More specifically, the point of the friction coefficient is the same as the scratch resistance under various effects, which increases with the induced effect. Clearly, by increasing the force, the tip of the indenter goes further inside the material, and the contact surface of the material improves. It improves the scratch resistance, so the coefficient of friction can also be enhanced. The precise numerical value of the friction coefficient was calculated from the diagram where the graph is almost flat or fluctuates within a given range. In other words, under 300 µN and 400 µN, coefficients of friction are equal to 0.72 and 0.9, respectively. Moreover, this excessive oscillation in the diagram happens due to the holes and pores of the material
Finally, Fig. 15 indicates the scratch hardness of the granular alumina nanoparticles compared with the average hardness of this material obtained from the nanoindentation test, under 300 µN and 400 µN. Typical and scratch hardness was defined based on the capacity of the material to resist deformation. However, there are several differences in the mechanism. Despite mainly dynamic scratch hardness, the typical indentation hardness is usually quasi-static. In the nanoindentation test, a stiff and rigid indenter penetrates the specimen surface and slides. Therefore, the frictional resistance between the indenter, the substance, and the side-force is inevitable. Such parameters are not seen in the nanoindentation test, which explains the difference between the average and scratch hardness. As shown in the figure, by increasing the reasonable force from 300 µN to 400 µN, both scratch hardness and typical hardness demonstrate the same rising trend so that the increase of typical hardness is more intense than the enhancement of the scratch hardness. It is also illustrated that the scratch hardness is always more than the typical hardness. It is because scratching hardness is a dynamic process and includes frictional forces. Thus, the indenter requires more load to defeat these obstructions. Therefore, the scratch hardness increases significantly more than typical hardness.