3.2.2. Analysis of Results
Use the analysis function in Design-Expert12 software to perform a variance analysis on the experiment results. The analysis results are shown in
Table 6 and
Table 7. The regression equations of the pass rate of hole particle number
and seed damage rate
are obtained. The equations are Equations (10) and (11). The R-square for Equations (10) and (11) are 0.7738 and 0.9761, respectively.
The F-value represents the significance of the entire fitting equation. The larger the F is, the more significant the equation is and the better the fit. The Model F-value of 16.33 implies the model is significant. There is only a 0.07% chance that an F-value this large could occur due to noise. The p-value indicates significance, a p-value < 0.01 indicates extreme significance, a p-value < 0.05 indicates significance, and p-values greater than 0.1000 indicate the model terms are not significant. The lack of fit F-value of 0.41 implies the lack of fit is not significant relative to the pure error.
It can be seen from
Table 6 that the three factors of the experiment impact the qualification rate of the number of holes. According to the priority of influence, sorting is
,
,
,
,
,
,
,
,
, where the
p-value of
,
is less than 0.01, indicating that
,
has an extremely significant impact
. The
p-value of the remaining factors is more significant than 0.1, indicating that the impact of the remaining factors
is not significant.
The Model F-value of 71.59 implies the model is significant. There is only a 0.01% chance that an F-value this large could occur due to noise. The lack of fit F-value of 0.06 implies the lack of fit is not significant relative to the pure error. There is a 97.61% chance that a lack of fit F-value this large could occur due to noise. Non-significant lack of fit is good—we want the model to fit.
It can be seen from
Table 7 that the three factors in the experiment have an impact on the grain damage rate. According to the priority of influence, sorting is
,
,
,
,
,
,
,
,
, where the
p value of
,
,
,
is less than 0.01, indicating that
,
,
,
has an extremely significant impact
. The
p value of the remaining factors is more significant than 0.1, indicating that the impact of the remaining factors
is not significant.
It can be seen from
Table 6 and
Table 7 that under the condition of significance level
, the significance levels of the regression equation of the two indicators of the pass rate of the hole particle number and the seed damage rate are 0.0007 and <0.0001. Both significance levels are extremely significant, and the coefficients of determination
of the regression equation are 0.9545 and 0.9893. The significance levels of the equation’s lack of fit terms are 0.7535 and 0.9761. The results are all greater than 0.1, indicating that the obtained regression equation fits the actual situation well, indicating no other important factors affecting the experiment indicators. The degree of influence of various factors on the pass rate of hole particles
and seed damage rate
of the buckwheat hole sowing seed-metering device, from primary to secondary, are seed wheel aperture, seed-metering speed, and seeding height.
It is important to study the influence of the interaction of various influencing factors on the pass rate of the hole particle number in the seed-metering device and the rate of seed damage. According to the experiment results, the Design-Expert12 software was used to create corresponding response surfaces, as shown in
Figure 12 and
Figure 13.
Figure 12a shows the impact of the interaction between the seed-metering speed and the seed position height on the qualification rate of the number of holes when the seed wheel aperture is 8 mm. When the rotational speed of the fixed seed-metering device remains unchanged, as the height of the seed position increases, the number of qualified seeds first increases and then decreases. When the height of the seed position increases, the pressure on the grains gradually increases, and the number of falling grains gradually increases, causing the number of qualified grains in the hole to increase first and then decrease. When the height of the fixed seed position remains unchanged, as the rotation speed of the seed-metering device increases, the qualification rate of the number of holes will also first increase and then decrease. As the rotational speed of the seed-metering device increases, the seed filling time of the hole becomes shorter, and the number of seeds entering the hole will change, resulting in a change in the qualification rate of the number of seeds in the hole [
33].
Figure 12b shows the impact of the interaction between the seed-metering device’s rotation speed and the seeding wheel’s aperture on the qualification rate of the number of holes when the seed position height is 120 mm. When the rotational speed of the seed-metering device is fixed, as the hole diameter of the seeding wheel increases, the qualification rate of the number of hole particles gradually decreases and is optimal at 8 mm. When the aperture of the fixed seeding wheel remains unchanged, as the rotational speed of the seed-metering device increases, the number of qualified particles first increases and then decreases. However, overall, it is in a stable state.
Figure 12c shows the impact of the interaction between the seed position height and the seeding wheel aperture on the hole particle number qualification rate when the seed-metering speed is 55 r/min. When the height of the fixed seed position remains unchanged, as the hole diameter of the seeding wheel increases, the qualification rate of the number of holes will gradually decrease. When the aperture of the fixed seeding wheel remains unchanged, as the height of the seed position increases, the number of qualified seeds in the holes first increases and then decreases.
Figure 13a shows the effect of the interaction between the seed-metering speed and the seed height on the seed damage rate when the seed wheel aperture is 8 mm. When the rotation speed of the fixed seed-metering device remains unchanged, as the height of the seed position increases, the seed damage rate gradually increases. When the height of the seed position increases, the pressure on the seeds gradually increases, and the seeds are easily crushed, resulting in a gradual increase in the damage rate of the seeds. When the height of the fixed seed position remains unchanged, as the rotation speed of the seed-metering device increases, the seed damage first decreases and then increases.
Figure 13b shows the effect of the interaction between the seed-metering device speed and the seeding wheel aperture on the seed damage rate when the seed height is 120 mm. When the rotational speed of the fixed seed-metering device remains unchanged, as the hole diameter of the seed-metering wheel increases, the seed damage rate gradually decreases. As the rotational speed of the seed-metering device increases, the seeds are squeezed less and less, thus causing the seed damage rate to decrease gradually. When the aperture of the fixed seeding wheel remains unchanged, as the rotational speed of the seeding device increases, the seed damage first decreases and then increases.
Figure 13c shows the interaction effect between seed height and seeding wheel aperture on the seed damage rate when the seed-metering speed is 55 r/min. When the height of the fixed seed position remains unchanged, as the aperture of the seeding wheel increases, the seed damage rate gradually increases. When the aperture of the fixed seeding wheel remains unchanged, as the height of the seed position increases, the seed damage first decreases and then increases, but overall, it is in a stable state.