4.2. Comprehensive Evaluation of Orthogonal Experimental Results
The steps for calculating and analyzing the results of orthogonal experiments are as follows:
Calculate
Ki:
Ki is the sum of the indexes for the same level. Taking parameter A in the tensile strength index experiment as an example.
Calculate ki: ki is the average values of each parameter at the same level, that is, .
Calculate R: , is the range to measure the variation of the experimental values.
Draw parameter-index trend graph: Taking the parameter level as the X-axis and the average value
ki as the Y-axis, the relationship between mechanical properties and different levels of each parameter can be visually displayed and analyzed, as shown in
Figure 4.
According to the
R-value, we can determine the influence orders of the various factors, and according to the factor-index trend graph, we can obtain the optimal combination of process parameters for each index. Then the results for each index are listed in
Table 4. We can see that, for tensile strength, the order of influence of the four parameters is C>B>D>A, and the optimal parameter combination is A1B2C1D1. And for bending strength, the influence order is A>D>C>B, and the optimum parameter combination is A1B1C3D1. Meanwhile, from the experimental results, the impact mechanism of the four process parameters on the mechanical properties of PLA-FDM parts can be summarized as follows:
Layer thickness. The trend graph in
Figure 4 shows that as the layer thickness increases, both the tensile strength and bending strength of the test samples decrease. The reason is that the increase in layer thickness leads to an increase in interlayer porosity. Meanwhile, for parts of the same height, an increase in layer thickness means a decrease in the number of layers, which reduces the internal filaments used to resist external forces. The above two reasons jointly lead to the weakening of the mechanical properties of the parts. Therefore, A1 (
h=0.1mm) is chosen as the optimal level.
Nozzle temperature. Compared with other parameters, the nozzle temperature has relatively small effect on overall mechanical properties of PLA specimens. An appropriately high temperature can enhance the PLA melt fluidity, which is conducive to the full diffusion and fusion of molecular chains, forming a good interface between printed filaments. However, excessively high nozzle temperatures can easily lead to strong resin fluidity, even decomposition and vaporization, which is not conducive to printing. Usually, the reasonable range for 3D printing nozzle temperature is between the glass transition temperature and thermal decomposition temperature of the PLA materials. Thus, B2 (t=210℃) can be choice as the optimal level.
Printing speed. From the trend graph, we can see that as the printing speed increases, the tensile strength decreases and the bending strength increases, with opposite trends. Overall, when the speed increases from 20 to 40 mm/s, the tensile strength decreases very little, but the bending strength increases a lot. However, when the speed increases from 40 to 60 mm/s, the bending strength increases very little, but the tensile strength decreases more. Therefore, choosing 40 mm/s is more appropriate. This is because when the speed increases to a certain stage, the fluidity of PLA resin is good, and when adjacent molten filaments come into contact with each other, the interface temperature and bonding performance are good. If the printing speed is too high, the effective contact time between filaments decreases, resulting in a deterioration of their bonding strength.
Raster angle: The raster angle represents the angle between the movement directions of the molten filaments in each layer during the printing process. When angle changes, only the stacking angles of adjacent layers filaments are different, but the density of the internal "fiber bundles" in the sample does not change. When the material sample is subjected to stress, the filaments are oriented to resist fracture along external forces. From trend graph, D1(θ=45/–45°) should be selected as the optimal level.
In summary, the optimal process parameter combination is A1B2C2D1, which is h=0.1mm, t=210 ℃, v=40 mm/s, and θ= 45/-45 °.
4.3. Comprehensive Scoring of Orthogonal Experimental Results
The comprehensive scoring method is to determine the proportion of different indicators based on their different importance during the experimental process, convert multi indicator experimental results into single indicator experimental results, and then optimize the experimental results based on the analysis of single indicators. This article uses formulas (1) and (2) to calculate the membership and comprehensive scores of tensile strength and bending strength.
Here,U-Membership degree of each index, 0≤U≤1;
-Membership degree of tensile strength;
-Membership degree of bending strength;
A-Index value;
- Maximum index value;
- Minimum index value;
T-Comprehensive score;
Considering the overall performance of mechanical properties, the weights for tensile and bending strength are both taken as 0.5. The analysis results of the comprehensive scoring method are shown in
Table 5 and
Table 6.
Analysis shows that the optimal parameter for the comprehensive scoring method is also A1B2C2D1, which is consistent with the comprehensive balance method. This further verifies the rationality and correctness of the comprehensive balance method and comprehensive scoring method based on orthogonal experiments. Due to the fact that the optimal parameter combination does not belong to one of the 9 orthogonal table experiments, experimental validation is required, and the validation results are shown in
Table 7.
From
Table 7, it can be seen that compared with the results in the orthogonal experimental table mentioned earlier, both indexes of the optimal parameter combination have significantly improved, proving the correctness of the optimal printing parameter combination.