Journal of Agricultural Science and Technology ›› 2025, Vol. 27 ›› Issue (3): 95-103.DOI: 10.13304/j.nykjdb.2023.0662
• INTELLIGENT AGRICULTURE & AGRICULTURAL MACHINERY • Previous Articles Next Articles
Guoliang ZHONG1(), Lin WAN1(
), Gang CHE1, Hao TANG2, Tianqi QU1, Qilin ZHANG1
Received:
2023-09-04
Accepted:
2023-11-16
Online:
2025-03-15
Published:
2025-03-14
Contact:
Lin WAN
钟国良1(), 万霖1(
), 车刚1, 唐浩2, 曲天奇1, 张骐麟1
通讯作者:
万霖
作者简介:
钟国良 E-mail:1076866915@qq.com;
基金资助:
CLC Number:
Guoliang ZHONG, Lin WAN, Gang CHE, Hao TANG, Tianqi QU, Qilin ZHANG. Influence of Drying Parameters on Hot Air Drying Rate and Energy Consumption of Rice[J]. Journal of Agricultural Science and Technology, 2025, 27(3): 95-103.
钟国良, 万霖, 车刚, 唐浩, 曲天奇, 张骐麟. 干燥参数对稻谷热风干燥速率及能耗的影响[J]. 中国农业科技导报, 2025, 27(3): 95-103.
Fig. 1 Structure of GHS-Ⅱ thin layer drying test benchNote: 1—Fan;2—Air duct; 3—Heater; 4—Temperature display; 5—Mass balance; 6—Drying cylinder; 7—Drying tray; 8—Support; 9—Wind speed sensor; 10—Temperature sensor; 11—Control cabinet; 12—Data collection system.
序号 Serial number | 水平 Level | X1:热风温度 Wind temperature/℃ | X2:风速 Wind speed/(m·s-1) | X3:初始含水率 Initial water content/% |
---|---|---|---|---|
+γ | +1.682 | 50 | 0.8 | 23 |
1 | +1 | 48 | 0.7 | 22 |
0 | 0 | 45 | 0.5 | 21 |
-1 | -1 | 42 | 0.3 | 20 |
-γ | -1.682 | 40 | 0.2 | 19 |
Table 1 Encoding of factors in ternary quadratic regression orthogonal experiment
序号 Serial number | 水平 Level | X1:热风温度 Wind temperature/℃ | X2:风速 Wind speed/(m·s-1) | X3:初始含水率 Initial water content/% |
---|---|---|---|---|
+γ | +1.682 | 50 | 0.8 | 23 |
1 | +1 | 48 | 0.7 | 22 |
0 | 0 | 45 | 0.5 | 21 |
-1 | -1 | 42 | 0.3 | 20 |
-γ | -1.682 | 40 | 0.2 | 19 |
编号 Number | X1:热风温度 Wind temperature/℃ | X2:风速 Wind speed/(m·s-1) | X3:初始含水率 Initial water content/% | Y1 干燥速率 Drying rate/(%·h-1) | Y2 单位干燥能耗 Unit drying energy consumption/(kJ·kg-1) |
---|---|---|---|---|---|
1 | 1 | 1 | 1 | 4.536 | 7 833.33 |
2 | 1 | 1 | -1 | 5.184 | 7 472.22 |
3 | 1 | -1 | 1 | 3.552 | 8 027.78 |
4 | 1 | -1 | -1 | 4.056 | 7 020 |
5 | -1 | 1 | 1 | 3.648 | 6 111.11 |
6 | -1 | 1 | -1 | 4.32 | 6 027.78 |
7 | -1 | -1 | 1 | 3.144 | 6 166.67 |
8 | -1 | -1 | -1 | 3.24 | 5 888.89 |
9 | γ | 0 | 0 | 5.28 | 6 972.22 |
10 | -γ | 0 | 0 | 3.31 | 6 750 |
11 | 0 | γ | 0 | 4.56 | 6 527.78 |
12 | 0 | -γ | 0 | 3.67 | 7 527.78 |
13 | 0 | 0 | γ | 4.652 | 6 844.44 |
14 | 0 | 0 | -γ | 4.032 | 5 394.44 |
15 | 0 | 0 | 0 | 4.94 | 6 972.22 |
16 | 0 | 0 | 0 | 4.344 | 7 000 |
17 | 0 | 0 | 0 | 4.44 | 7 966.67 |
18 | 0 | 0 | 0 | 4.56 | 6 944.44 |
19 | 0 | 0 | 0 | 4.28 | 7 138.89 |
20 | 0 | 0 | 0 | 4.416 | 6 972.22 |
21 | 0 | 0 | 0 | 4.9 | 7 138.89 |
22 | 0 | 0 | 0 | 4.248 | 7 427.78 |
23 | 0 | 0 | 0 | 4.052 | 6 772.22 |
Table 2 Quadratic regression orthogonal rotation combination experiment and results
编号 Number | X1:热风温度 Wind temperature/℃ | X2:风速 Wind speed/(m·s-1) | X3:初始含水率 Initial water content/% | Y1 干燥速率 Drying rate/(%·h-1) | Y2 单位干燥能耗 Unit drying energy consumption/(kJ·kg-1) |
---|---|---|---|---|---|
1 | 1 | 1 | 1 | 4.536 | 7 833.33 |
2 | 1 | 1 | -1 | 5.184 | 7 472.22 |
3 | 1 | -1 | 1 | 3.552 | 8 027.78 |
4 | 1 | -1 | -1 | 4.056 | 7 020 |
5 | -1 | 1 | 1 | 3.648 | 6 111.11 |
6 | -1 | 1 | -1 | 4.32 | 6 027.78 |
7 | -1 | -1 | 1 | 3.144 | 6 166.67 |
8 | -1 | -1 | -1 | 3.24 | 5 888.89 |
9 | γ | 0 | 0 | 5.28 | 6 972.22 |
10 | -γ | 0 | 0 | 3.31 | 6 750 |
11 | 0 | γ | 0 | 4.56 | 6 527.78 |
12 | 0 | -γ | 0 | 3.67 | 7 527.78 |
13 | 0 | 0 | γ | 4.652 | 6 844.44 |
14 | 0 | 0 | -γ | 4.032 | 5 394.44 |
15 | 0 | 0 | 0 | 4.94 | 6 972.22 |
16 | 0 | 0 | 0 | 4.344 | 7 000 |
17 | 0 | 0 | 0 | 4.44 | 7 966.67 |
18 | 0 | 0 | 0 | 4.56 | 6 944.44 |
19 | 0 | 0 | 0 | 4.28 | 7 138.89 |
20 | 0 | 0 | 0 | 4.416 | 6 972.22 |
21 | 0 | 0 | 0 | 4.9 | 7 138.89 |
22 | 0 | 0 | 0 | 4.248 | 7 427.78 |
23 | 0 | 0 | 0 | 4.052 | 6 772.22 |
参数 Parameter | 系数 Coefficient | F值 F value | P值 P value |
---|---|---|---|
模型Model | 5.940 0 | 4.660 0 | 0.006 4 |
X1 | 2.900 0 | 20.460 0 | 0.000 6 |
X2 | 1.970 0 | 13.950 0 | 0.002 5 |
X3 | 0.056 4 | 0.398 1 | 0.539 0 |
X1X2 | 0.034 8 | 0.246 2 | 0.628 1 |
X1X3 | 0.018 4 | 0.130 2 | 0.724 0 |
X2X3 | 0.064 8 | 0.457 8 | 0.510 5 |
X1² | 0.219 3 | 1.550 0 | 0.235 2 |
X2² | 0.521 3 | 3.680 0 | 0.077 2 |
X3² | 0.161 7 | 1.140 0 | 0.304 6 |
残差平方和 Sum of squared residuals | 1.150 0 | ||
纯误差平方和 Sum of squares of pure errors | 0.693 4 | ||
决定系数R2 | 0.763 4 | ||
校正决定系数Adj R2 | 0.599 5 | ||
预测决定系数Pre R2 | -0.236 1 | ||
变异系数C.V./% | 8.890 0 |
Table 3 Significance test and analysis of variance of drying rate regression model coefficient
参数 Parameter | 系数 Coefficient | F值 F value | P值 P value |
---|---|---|---|
模型Model | 5.940 0 | 4.660 0 | 0.006 4 |
X1 | 2.900 0 | 20.460 0 | 0.000 6 |
X2 | 1.970 0 | 13.950 0 | 0.002 5 |
X3 | 0.056 4 | 0.398 1 | 0.539 0 |
X1X2 | 0.034 8 | 0.246 2 | 0.628 1 |
X1X3 | 0.018 4 | 0.130 2 | 0.724 0 |
X2X3 | 0.064 8 | 0.457 8 | 0.510 5 |
X1² | 0.219 3 | 1.550 0 | 0.235 2 |
X2² | 0.521 3 | 3.680 0 | 0.077 2 |
X3² | 0.161 7 | 1.140 0 | 0.304 6 |
残差平方和 Sum of squared residuals | 1.150 0 | ||
纯误差平方和 Sum of squares of pure errors | 0.693 4 | ||
决定系数R2 | 0.763 4 | ||
校正决定系数Adj R2 | 0.599 5 | ||
预测决定系数Pre R2 | -0.236 1 | ||
变异系数C.V./% | 8.890 0 |
参数 Parameter | 系数 Coefficient | F值 F value | P值 P value |
---|---|---|---|
模型Model | 6.507×106 | 2.830 0 | 0.043 4 |
X1 | 3.125×106 | 12.240 0 | 0.003 9 |
X2 | 1.316×105 | 0.515 5 | 0.485 5 |
X3 | 1.272×106 | 4.980 0 | 0.043 8 |
X1X2 | 380 3.66 | 0.014 9 | 0.904 7 |
X1X3 | 1.270×105 | 0.497 2 | 0.493 2 |
X2X3 | 884 35.36 | 0.346 4 | 0.566 3 |
X1² | 662 27.12 | 0.259 4 | 0.619 1 |
X2² | 504.25 | 0.002 0 | 0.965 2 |
X3² | 1.697×106 | 6.65 | 0.022 9 |
残差平方和 Sum of squared residuals | 2.304×106 | ||
纯误差平方和 Sum of squares of pure errors | 1.015×106 | ||
决定系数R2 | 0.662 2 | ||
校正决定系数Adj R2 | 0.428 3 | ||
预测决定系数Pre R2 | -0.915 3 | ||
变异系数CV/% | 7.310 0 |
Table 4 Significance test and analysis of variance for regression model coefficients of unit drying energy consumption
参数 Parameter | 系数 Coefficient | F值 F value | P值 P value |
---|---|---|---|
模型Model | 6.507×106 | 2.830 0 | 0.043 4 |
X1 | 3.125×106 | 12.240 0 | 0.003 9 |
X2 | 1.316×105 | 0.515 5 | 0.485 5 |
X3 | 1.272×106 | 4.980 0 | 0.043 8 |
X1X2 | 380 3.66 | 0.014 9 | 0.904 7 |
X1X3 | 1.270×105 | 0.497 2 | 0.493 2 |
X2X3 | 884 35.36 | 0.346 4 | 0.566 3 |
X1² | 662 27.12 | 0.259 4 | 0.619 1 |
X2² | 504.25 | 0.002 0 | 0.965 2 |
X3² | 1.697×106 | 6.65 | 0.022 9 |
残差平方和 Sum of squared residuals | 2.304×106 | ||
纯误差平方和 Sum of squares of pure errors | 1.015×106 | ||
决定系数R2 | 0.662 2 | ||
校正决定系数Adj R2 | 0.428 3 | ||
预测决定系数Pre R2 | -0.915 3 | ||
变异系数CV/% | 7.310 0 |
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