Scientia Silvae Sinicae ›› 2020, Vol. 56 ›› Issue (4): 150-159.doi: 10.11707/j.1001-7488.20200417
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Jinming Wang,Xiangyue Yuan*,Zhongjia Chen,Yuwei Zhang,Yanming Wang
Received:
2019-08-06
Online:
2020-04-25
Published:
2020-05-29
Contact:
Xiangyue Yuan
CLC Number:
Jinming Wang,Xiangyue Yuan,Zhongjia Chen,Yuwei Zhang,Yanming Wang. Distribution of Temperature Field in Biomass Hot Forming[J]. Scientia Silvae Sinicae, 2020, 56(4): 150-159.
Table 3
Significant coefficient of experimental dependent variables affected by independent variables"
因素 Factor | 整体密度 Overall density | 平均温度 Average temperature | 最高温度 The highest temperature | 中心点温度 Center point temperature |
因素A Factor A | 0.740 | <0.001 | <0.001 | 0.885 |
因素B Factor B | 0.010 | <0.001 | 0.626 | <0.001 |
因素C Factor C | 0.125 | 0.260 | 0.234 | 0.362 |
Table 4
Average value of each dependent variable at different heating temperatures"
因素A Factor A/℃ | 整体密度 Overall density/(g·cm-3) | 平均温度 Average temperature/℃ | 最高温度 The highest temperature/℃ | 中心点温度 Center point temperature/℃ |
155 | 1.138 5 | 85.35 | 112.70 | 78.58 |
185 | 1.133 4 | 94.82 | 133.56 | 81.62 |
215 | 1.064 8 | 103.20 | 149.94 | 80.60 |
170 | 1.147 8 | 89.38 | 124.60 | 81.26 |
200 | 1.082 6 | 98.76 | 144.38 | 81.18 |
Table 5
Average value of each dependent variable at different sawdust moisture contents"
因素B Factor B(%) | 整体密度 Overall density/(g·cm-3) | 平均温度 Average temperature/℃ | 最高温度 The highest temperature/℃ | 中心点温度 Center point temperature/℃ |
0.10 | 1.197 3 | 102.5 | 137.98 | 88.13 |
0.12 | 1.171 6 | 95.46 | 132.84 | 82.26 |
0.14 | 1.167 8 | 94.32 | 136.40 | 80.42 |
0.16 | 1.038 6 | 91.78 | 128.08 | 78.44 |
0.18 | 1.003 6 | 90.88 | 130.18 | 75.90 |
Table 6
Average value of each dependent variable at different motor frequencies"
因素C Factor C/Hz | 整体密度 Overall density/(g·cm-3) | 平均温度 Average temperature/℃ | 最高温度 The highest temperature/℃ | 中心点温度 Center point temperature/℃ |
14 | 1.123 3 | 96.70 | 137.56 | 79.58 |
16 | 1.097 4 | 95.62 | 135.40 | 81.44 |
18 | 1.067 0 | 92.86 | 130.86 | 80.62 |
20 | 1.124 0 | 97.26 | 137.80 | 81.88 |
22 | 1.139 5 | 93.88 | 133.30 | 80.00 |
Table 7
Multiple regression fitting results of overall density of the molding block, and average temperature, the highest temperature, and center point temperature of the section of the molding block"
因变量 Dependent variable | R12 | 多元回归拟合模型 Multiple regression fitting model |
整体密度 Overall density | 0.788 6 | y1=-0.000 002 4A2-0.001 1A-15.078 1B2+1.322 1B+0.005 1C2-0.177 9C+3.039 8 |
平均温度 Average temperature | 0.957 1 | y2=0.288 5A+1 040.768 0B2-400.757 0B+0.072 3C2-3.038 1C+106.673 2 |
最高温度 The highest temperature | 0.896 6 | y3=-0.004 4A2+2.278 9A-2 738.990 0B2+754.808 3B+0.016 1C2-1.742 6C-159.880 |
中心点温度 Center point temperature | 0.871 3 | y4=-0.001 2A2+0.453 5A+1 104.613 0B2- 449.021 0B-0.044 2C2+1.800 8C+61.883 2 |
Table 8
Simplified model multiple regression fitting results of overall density of the molding block, and average temperature, the highest temperature, and center point temperature of the section of the molding block"
因变量 Dependent variable | R22 | δ(%) | 简化模型的多元回归拟合模型 Simplified model’s multiple regression fitting model |
整体密度 Overall density | 0.7885 | 0.0091 | y1=0.002 0A-14.952 8B2+1.283 5B+0.005 1C2-0.178 3C+3.126 7 |
平均温度 Average temperature | 0.957 1 | 0.000 0 | y2=0.288 5A+1 040.768 0B2-400.757 0B+0.072 3C2-3.038 1C+106.673 2 |
最高温度 The highest temperature | 0.883 8 | 1.427 5 | y3=0.640 1A-2 505.190 0B2+682.798 1B+0.039 5C2-2.518 8C-2.194 2 |
中心点温度 Center point temperature | 0.860 3 | 1.254 7 | y4=0.000 8A+1 169.205 0B2-468.915 0B-0.037 7C2+1.586 4C+106.659 3 |
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