Scientia Silvae Sinicae ›› 2022, Vol. 58 ›› Issue (12): 62-74.doi: 10.11707/j.1001-7488.20221207
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Jiuqing Liu1,Binhai Zhu1,Chunmei Yang1,*,Hang Yu2
Received:
2021-12-29
Online:
2022-12-25
Published:
2023-03-11
Contact:
Chunmei Yang
CLC Number:
Jiuqing Liu,Binhai Zhu,Chunmei Yang,Hang Yu. Dynamic Performance Analysis and Experimental Investigation of Hole Digging Mechanism of Tree Planting Machine[J]. Scientia Silvae Sinicae, 2022, 58(12): 62-74.
Table 2
Test scheme and results"
序号 No. | A | B | C | L1/ mm | α′/ (°) | β′/ (°) |
1 | 0 | 0 | 0 | 779 | 37.5 | 26.7 |
2 | 1 | 1 | 0 | 719 | 33.8 | 25.6 |
3 | 0 | 0 | 0 | 776 | 37.4 | 26.6 |
4 | 0 | 1 | 1 | 632 | 29.4 | 24.5 |
5 | 0 | -1 | -1 | 882 | 44.2 | 28.6 |
6 | -1 | 0 | 1 | 701 | 33.5 | 25.3 |
7 | 0 | 0 | 0 | 765 | 37.2 | 26.1 |
8 | 0 | 0 | 0 | 773 | 37.0 | 26.3 |
9 | 0 | 1 | -1 | 695 | 32.2 | 25.1 |
10 | -1 | -1 | 0 | 805 | 38.1 | 27.4 |
11 | 0 | -1 | 1 | 731 | 35.1 | 25.9 |
12 | -1 | 1 | 0 | 651 | 29.8 | 24.6 |
13 | 0 | 0 | 0 | 761 | 36.8 | 26.0 |
14 | -1 | 0 | -1 | 783 | 37.8 | 26.9 |
15 | 1 | -1 | 0 | 903 | 45.5 | 29.2 |
16 | 1 | 0 | 1 | 751 | 36.1 | 26.2 |
17 | 1 | 0 | -1 | 899 | 44.8 | 28.9 |
Table 3
Variance analysis of regression model of L1"
来源 Source | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F | P |
模型Model | 95 803 | 9 | 10 645 | 124.66 | < 0.000 1 |
A-A | 13 819 | 1 | 13 820 | 161.84 | < 0.000 1 |
B-B | 48 765 | 1 | 48 766 | 571.10 | < 0.000 1 |
C-C | 24 675 | 1 | 24 675 | 288.97 | < 0.000 1 |
AB | 242 | 1 | 242 | 2.83 | 0.136 3 |
AC | 1 142 | 1 | 1 142 | 13.38 | 0.008 1 |
BC | 1 888 | 1 | 1 888 | 22.11 | 0.002 2 |
A2 | 2 379 | 1 | 2 379 | 27.86 | 0.001 2 |
B2 | 2 643 | 1 | 2 643 | 30.95 | 0.000 8 |
C2 | 489 | 1 | 489 | 5.73 | 0.047 9 |
残差Residual | 598 | 7 | 86 | ||
失拟项Lack of fit | 373 | 3 | 124 | 2.21 | 0.229 7 |
纯误差Pure error | 225 | 4 | 56 | ||
总和Cor total | 96 401 | 16 |
Table 4
Variance analysis of regression model of α′"
来源 Source | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F | P |
模型Model | 344.81 | 9 | 38.310 | 173.53 | < 0.000 1 |
A-A | 55.13 | 1 | 55.130 | 249.68 | < 0.000 1 |
B-B | 177.66 | 1 | 177.660 | 804.68 | < 0.000 1 |
C-C | 77.50 | 1 | 77.500 | 351.02 | < 0.000 1 |
AB | 2.89 | 1 | 2.890 | 13.09 | 0.008 5 |
AC | 4.84 | 1 | 4.840 | 21.92 | 0.002 3 |
BC | 9.92 | 1 | 9.920 | 44.94 | 0.000 3 |
A2 | 6.29 | 1 | 6.290 | 28.50 | 0.001 1 |
B2 | 10.81 | 1 | 10.810 | 48.97 | 0.000 2 |
C2 | 0.52 | 1 | 0.520 | 2.37 | 0.167 6 |
残差Residual | 1.55 | 7 | 0.220 | ||
失拟项Lack of fit | 1.22 | 3 | 0.410 | 4.95 | 0.078 2 |
纯误差Pure error | 0.33 | 4 | 0.082 | ||
总和Cor total | 346.36 | 16 |
Table 5
Variance analysis of regression model of β′"
来源 Source | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F | P |
模型Model | 30.400 | 9 | 3.380 | 30.33 | < 0.000 1 |
A-A | 4.060 | 1 | 4.060 | 36.47 | 0.000 5 |
B-B | 15.960 | 1 | 15.960 | 143.33 | < 0.000 1 |
C-C | 7.220 | 1 | 7.220 | 64.84 | < 0.000 1 |
AB | 0.160 | 1 | 0.160 | 1.44 | 0.269 7 |
AC | 0.300 | 1 | 0.300 | 2.72 | 0.143 3 |
BC | 1.100 | 1 | 1.100 | 9.90 | 0.016 2 |
A2 | 1.420 | 1 | 1.420 | 12.72 | 0.009 1 |
B2 | 0.200 | 1 | 0.200 | 1.83 | 0.218 2 |
C2 | 0.038 | 1 | 0.038 | 0.34 | 0.577 4 |
残差Residual | 0.780 | 7 | 0.110 | ||
失拟项Lack of fit | 0.410 | 3 | 0.140 | 1.46 | 0.351 4 |
纯误差Pure error | 0.370 | 4 | 0.093 | ||
总和Cor total | 31.180 | 16 |
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