CIESC Journal ›› 2025, Vol. 76 ›› Issue (S1): 84-92.DOI: 10.11949/0438-1157.20241202
• Fluid dynamics and transport phenomena • Previous Articles Next Articles
Wenfeng ZHANG1(
), Wei GUO2, Xinyu ZHANG2, Haomin CAO3, Guoliang DING3(
)
Received:2024-10-30
Revised:2024-11-12
Online:2025-06-26
Published:2025-06-25
Contact:
Guoliang DING
张文锋1(
), 郭玮2, 张新玉2, 曹昊敏3, 丁国良3(
)
通讯作者:
丁国良
作者简介:张文锋(1978—),男,工程师,42293737@qq.com
基金资助:CLC Number:
Wenfeng ZHANG, Wei GUO, Xinyu ZHANG, Haomin CAO, Guoliang DING. Model development and software implementation of the aluminum tube and aluminum fin heat exchanger[J]. CIESC Journal, 2025, 76(S1): 84-92.
张文锋, 郭玮, 张新玉, 曹昊敏, 丁国良. 铝管铝翅片换热器模型开发及软件实现[J]. 化工学报, 2025, 76(S1): 84-92.
Add to citation manager EndNote|Ris|BibTeX
| 样机序号 | 换热管排数 | 换热管管径/mm | 翅片片型 |
|---|---|---|---|
| 1 | 1 | 5 | 波纹片 |
| 2 | 1 | 5 | 桥片 |
| 3 | 1 | 7 | 波纹片 |
| 4 | 2 | 5 | 波纹片 |
| 5 | 2 | 5 | 桥片 |
| 6 | 2 | 7 | 波纹片 |
| 7 | 2 | 7 | 百叶窗片 |
Table 1 Specifications of aluminum tube and aluminum fin heat exchangers
| 样机序号 | 换热管排数 | 换热管管径/mm | 翅片片型 |
|---|---|---|---|
| 1 | 1 | 5 | 波纹片 |
| 2 | 1 | 5 | 桥片 |
| 3 | 1 | 7 | 波纹片 |
| 4 | 2 | 5 | 波纹片 |
| 5 | 2 | 5 | 桥片 |
| 6 | 2 | 7 | 波纹片 |
| 7 | 2 | 7 | 百叶窗片 |
| 性能 | 额定制热 | 低温制热 | 额定制冷 | 高温制冷 | ||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | |
| 换热量实验值/W | 4799.6 | 4987.7 | 4964.9 | 5202.6 | 2989.7 | 3002.6 | 3192.8 | 3240.4 |
| 换热量预测值/W | 4677.7 | 4815.5 | 4919.7 | 5216.7 | 2935.7 | 2954.3 | 3172.2 | 3211.1 |
| 换热量偏差/% | -2.54 | -3.45 | -0.91 | 0.27 | -1.81 | -1.61 | -0.64 | -0.90 |
| 管内压降实验值/kPa | 64 | 69 | 65 | 69 | 26 | 29 | 30 | 30 |
| 管内压降预测值/kPa | 65.0 | 71.3 | 62.6 | 66.0 | 27.1 | 27.2 | 29.2 | 30.2 |
| 管内压降偏差/% | 1.56 | 3.33 | -3.69 | -4.35 | 4.23 | -6.21 | -2.67 | 0.67 |
| 风侧压降实验值/kPa | 6.7 | 7.6 | 5.9 | 6.7 | 15.7 | 16.7 | 17.7 | 19.0 |
| 风侧压降预测值/kPa | 6.7 | 7.6 | 5.8 | 6.7 | 15.6 | 16.6 | 17.5 | 18.5 |
| 风侧压降偏差/% | 0 | 0 | -1.69 | 0 | -0.64 | -0.60 | -1.13 | -2.63 |
Table 2 Comparisons of performance between predicted values and experimental values in the 5 mm single-row wavy fin prototype
| 性能 | 额定制热 | 低温制热 | 额定制冷 | 高温制冷 | ||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | |
| 换热量实验值/W | 4799.6 | 4987.7 | 4964.9 | 5202.6 | 2989.7 | 3002.6 | 3192.8 | 3240.4 |
| 换热量预测值/W | 4677.7 | 4815.5 | 4919.7 | 5216.7 | 2935.7 | 2954.3 | 3172.2 | 3211.1 |
| 换热量偏差/% | -2.54 | -3.45 | -0.91 | 0.27 | -1.81 | -1.61 | -0.64 | -0.90 |
| 管内压降实验值/kPa | 64 | 69 | 65 | 69 | 26 | 29 | 30 | 30 |
| 管内压降预测值/kPa | 65.0 | 71.3 | 62.6 | 66.0 | 27.1 | 27.2 | 29.2 | 30.2 |
| 管内压降偏差/% | 1.56 | 3.33 | -3.69 | -4.35 | 4.23 | -6.21 | -2.67 | 0.67 |
| 风侧压降实验值/kPa | 6.7 | 7.6 | 5.9 | 6.7 | 15.7 | 16.7 | 17.7 | 19.0 |
| 风侧压降预测值/kPa | 6.7 | 7.6 | 5.8 | 6.7 | 15.6 | 16.6 | 17.5 | 18.5 |
| 风侧压降偏差/% | 0 | 0 | -1.69 | 0 | -0.64 | -0.60 | -1.13 | -2.63 |
| 性能 | 额定制冷 | 高温制冷 | ||
|---|---|---|---|---|
| 1050 m3/h | 1150 m3/h | 1100 m3/h | 1200 m3/h | |
| 换热量实验值/W | 4714.7 | 4891.7 | 4884.5 | 5111.4 |
| 换热量预测值/W | 4674.294 | 4812.108 | 4916.024 | 5213.04 |
| 换热量偏差/% | -0.86 | -1.63 | 0.65 | 1.99 |
| 管内压降实验值/kPa | 64 | 69 | 65 | 69 |
| 管内压降预测值/kPa | 65.0 | 71.4 | 62.7 | 66.1 |
| 管内压降偏差/% | 1.56 | 3.48 | -3.54 | -4.20 |
| 风侧压降实验值/kPa | 6.7 | 7.6 | 5.9 | 6.7 |
| 风侧压降预测值/kPa | 6.7 | 7.6 | 5.8 | 6.7 |
| 风侧压降偏差/% | 0 | 0 | -1.69 | 0 |
Table 3 Comparisons of performance between predicted values and experimental values in the 5 mm single-row slit fin prototype
| 性能 | 额定制冷 | 高温制冷 | ||
|---|---|---|---|---|
| 1050 m3/h | 1150 m3/h | 1100 m3/h | 1200 m3/h | |
| 换热量实验值/W | 4714.7 | 4891.7 | 4884.5 | 5111.4 |
| 换热量预测值/W | 4674.294 | 4812.108 | 4916.024 | 5213.04 |
| 换热量偏差/% | -0.86 | -1.63 | 0.65 | 1.99 |
| 管内压降实验值/kPa | 64 | 69 | 65 | 69 |
| 管内压降预测值/kPa | 65.0 | 71.4 | 62.7 | 66.1 |
| 管内压降偏差/% | 1.56 | 3.48 | -3.54 | -4.20 |
| 风侧压降实验值/kPa | 6.7 | 7.6 | 5.9 | 6.7 |
| 风侧压降预测值/kPa | 6.7 | 7.6 | 5.8 | 6.7 |
| 风侧压降偏差/% | 0 | 0 | -1.69 | 0 |
| 性能 | 低温制冷 | 额定制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2450 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 4127.9 | 4215.8 | 4418.9 | 4477.2 | 4641.9 | 4855.4 | 5146.2 | 5301.3 |
| 换热量预测值/W | 4067.7 | 4120.8 | 4326.4 | 4374.2 | 4515.6 | 4798.5 | 4991.9 | 5133.4 |
| 换热量偏差/% | -1.46 | -2.25 | -2.09 | -2.30 | -2.72 | -1.17 | -3.00 | -3.17 |
| 管内压降实验值/kPa | 27 | 29 | 31 | 32 | 34 | 38 | 40 | 42 |
| 管内压降预测值/kPa | 28.3 | 28.6 | 30.9 | 31.1 | 32.8 | 37.1 | 40.2 | 42.0 |
| 管内压降偏差/% | 4.81 | -1.38 | -0.32 | -2.81 | -3.53 | -2.37 | 0.50 | 0 |
| 风侧压降实验值/kPa | 20.8 | 22.0 | 23.3 | 24.7 | 28.4 | 36.1 | 45.4 | 55.5 |
| 风侧压降预测值/kPa | 21.7 | 22.9 | 24.2 | 25.5 | 28.9 | 36.2 | 44.2 | 52.9 |
| 风侧压降偏差/% | 4.33 | 4.09 | 3.86 | 3.24 | 1.76 | 0.28 | -2.64 | -4.68 |
Table 4 Comparisons of performance between predicted values and experimental values in the 7 mm single-row wavy fin prototype
| 性能 | 低温制冷 | 额定制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2450 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 4127.9 | 4215.8 | 4418.9 | 4477.2 | 4641.9 | 4855.4 | 5146.2 | 5301.3 |
| 换热量预测值/W | 4067.7 | 4120.8 | 4326.4 | 4374.2 | 4515.6 | 4798.5 | 4991.9 | 5133.4 |
| 换热量偏差/% | -1.46 | -2.25 | -2.09 | -2.30 | -2.72 | -1.17 | -3.00 | -3.17 |
| 管内压降实验值/kPa | 27 | 29 | 31 | 32 | 34 | 38 | 40 | 42 |
| 管内压降预测值/kPa | 28.3 | 28.6 | 30.9 | 31.1 | 32.8 | 37.1 | 40.2 | 42.0 |
| 管内压降偏差/% | 4.81 | -1.38 | -0.32 | -2.81 | -3.53 | -2.37 | 0.50 | 0 |
| 风侧压降实验值/kPa | 20.8 | 22.0 | 23.3 | 24.7 | 28.4 | 36.1 | 45.4 | 55.5 |
| 风侧压降预测值/kPa | 21.7 | 22.9 | 24.2 | 25.5 | 28.9 | 36.2 | 44.2 | 52.9 |
| 风侧压降偏差/% | 4.33 | 4.09 | 3.86 | 3.24 | 1.76 | 0.28 | -2.64 | -4.68 |
| 性能 | 低温制冷 | 额定制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 5183.7 | 5284.1 | 5583.4 | 5682.1 | 5896.3 | 6866 | 6610.4 | 6948.9 |
| 换热量预测值/W | 5168.7 | 5271.6 | 5529.2 | 5614.1 | 5797.9 | 6184.1 | 6566.4 | 6805.4 |
| 换热量偏差/% | -0.29 | -0.24 | -0.97 | -1.20 | -1.67 | -9.93 | -0.67 | -2.07 |
| 管内压降实验值/kPa | 49 | 50 | 54 | 56 | 59 | 63 | 70 | 77 |
| 管内压降预测值/kPa | 46.7 | 47.5 | 53.3 | 54.9 | 58.7 | 65.6 | 67.6 | 75.6 |
| 管内压降偏差/% | -4.69 | -5.00 | -1.30 | -1.96 | -0.51 | 4.13 | -3.43 | -1.82 |
| 风侧压降实验值/kPa | 24.1 | 25.5 | 27.1 | 28.8 | 33.1 | 42.1 | 52.8 | 64.9 |
| 风侧压降预测值/kPa | 24.7 | 26.2 | 27.8 | 29.3 | 33.4 | 42.4 | 52.2 | 63.0 |
| 风侧压降偏差/% | 2.49 | 2.75 | 2.58 | 1.74 | 0.91 | 0.71 | -1.14 | -2.93 |
Table 5 Comparisons of performance between predicted values and experimental values in the 5 mm double-row wavy fin prototype
| 性能 | 低温制冷 | 额定制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 5183.7 | 5284.1 | 5583.4 | 5682.1 | 5896.3 | 6866 | 6610.4 | 6948.9 |
| 换热量预测值/W | 5168.7 | 5271.6 | 5529.2 | 5614.1 | 5797.9 | 6184.1 | 6566.4 | 6805.4 |
| 换热量偏差/% | -0.29 | -0.24 | -0.97 | -1.20 | -1.67 | -9.93 | -0.67 | -2.07 |
| 管内压降实验值/kPa | 49 | 50 | 54 | 56 | 59 | 63 | 70 | 77 |
| 管内压降预测值/kPa | 46.7 | 47.5 | 53.3 | 54.9 | 58.7 | 65.6 | 67.6 | 75.6 |
| 管内压降偏差/% | -4.69 | -5.00 | -1.30 | -1.96 | -0.51 | 4.13 | -3.43 | -1.82 |
| 风侧压降实验值/kPa | 24.1 | 25.5 | 27.1 | 28.8 | 33.1 | 42.1 | 52.8 | 64.9 |
| 风侧压降预测值/kPa | 24.7 | 26.2 | 27.8 | 29.3 | 33.4 | 42.4 | 52.2 | 63.0 |
| 风侧压降偏差/% | 2.49 | 2.75 | 2.58 | 1.74 | 0.91 | 0.71 | -1.14 | -2.93 |
| 性能 | 额定制热 | 低温制热 | |||||
|---|---|---|---|---|---|---|---|
| 1100 m3/h | 1200 m3/h | 1300 m3/h | 1400 m3/h | 1500 m3/h | 1000 m3/h | 1100 m3/h | |
| 换热量实验值/W | 5483.5 | 5712.3 | 5972.5 | 6174.4 | 6383.7 | 5610.1 | 5886.9 |
| 换热量预测值/W | 5374.9 | 5664.5 | 5964.5 | 6204.8 | 6444.7 | 5467.1 | 5846.3 |
| 换热量偏差/% | -1.98 | -0.84 | -0.13 | 0.49 | 0.96 | -2.55 | -0.69 |
| 管内压降实验值/kPa | 37 | 40 | 43 | 45 | 47 | 37 | 41 |
| 管内压降预测值/kPa | 37.5 | 39.2 | 41.5 | 42.9 | 44.8 | 38.1 | 40.2 |
| 管内压降偏差/% | 1.35 | -2.00 | -3.49 | -4.67 | -4.68 | 2.97 | -1.95 |
| 风侧压降实验值/kPa | 20.4 | 23.2 | 26.4 | 29.5 | 32.8 | 17.5 | 20.1 |
| 风侧压降预测值/kPa | 20.6 | 23.3 | 26.2 | 29.2 | 32.2 | 18.0 | 20.6 |
| 风侧压降偏差/% | 0.98 | 0.43 | -0.76 | -1.02 | -1.83 | 2.86 | 2.49 |
Table 6 Comparisons of performance between predicted values and experimental values in the 5 mm double-row slit fin prototype
| 性能 | 额定制热 | 低温制热 | |||||
|---|---|---|---|---|---|---|---|
| 1100 m3/h | 1200 m3/h | 1300 m3/h | 1400 m3/h | 1500 m3/h | 1000 m3/h | 1100 m3/h | |
| 换热量实验值/W | 5483.5 | 5712.3 | 5972.5 | 6174.4 | 6383.7 | 5610.1 | 5886.9 |
| 换热量预测值/W | 5374.9 | 5664.5 | 5964.5 | 6204.8 | 6444.7 | 5467.1 | 5846.3 |
| 换热量偏差/% | -1.98 | -0.84 | -0.13 | 0.49 | 0.96 | -2.55 | -0.69 |
| 管内压降实验值/kPa | 37 | 40 | 43 | 45 | 47 | 37 | 41 |
| 管内压降预测值/kPa | 37.5 | 39.2 | 41.5 | 42.9 | 44.8 | 38.1 | 40.2 |
| 管内压降偏差/% | 1.35 | -2.00 | -3.49 | -4.67 | -4.68 | 2.97 | -1.95 |
| 风侧压降实验值/kPa | 20.4 | 23.2 | 26.4 | 29.5 | 32.8 | 17.5 | 20.1 |
| 风侧压降预测值/kPa | 20.6 | 23.3 | 26.2 | 29.2 | 32.2 | 18.0 | 20.6 |
| 风侧压降偏差/% | 0.98 | 0.43 | -0.76 | -1.02 | -1.83 | 2.86 | 2.49 |
| 性能 | 额定制冷 | 高温制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 5184.1 | 5269.8 | 5577.1 | 5689.2 | 5940.8 | 6415.7 | 6785.3 | 7126.8 |
| 换热量预测值/W | 5073.6 | 5164.2 | 5487.9 | 5596.9 | 5792.3 | 6292.5 | 6618.2 | 6909.7 |
| 换热量偏差/% | -2.13 | -2.00 | -1.60 | -1.62 | -2.50 | -1.92 | -2.46 | -3.05 |
| 管内压降实验值/kPa | 20 | 21 | 22 | 22 | 23 | 26 | 29 | 31 |
| 管内压降预测值/kPa | 20.2 | 20.6 | 21.9 | 22.6 | 23.7 | 26.5 | 28.7 | 30.9 |
| 管内压降偏差/% | 1.00 | -1.90 | -0.45 | 2.73 | 3.04 | 1.92 | -1.03 | -0.32 |
| 风侧压降实验值/kPa | 34.5 | 36.6 | 39.0 | 41.3 | 48.0 | 60.6 | 75.5 | 92.1 |
| 风侧压降预测值/kPa | 36.2 | 38.2 | 40.4 | 42.5 | 48.2 | 60.3 | 73.6 | 88.0 |
| 风侧压降偏差/% | 4.93 | 4.37 | 3.59 | 2.91 | 0.42 | -0.50 | -2.52 | -4.45 |
Table 7 Comparisons of performance between predicted values and experimental values in the 7 mm double-row wavy fin prototype
| 性能 | 额定制冷 | 高温制冷 | ||||||
|---|---|---|---|---|---|---|---|---|
| 2450 m3/h | 2550 m3/h | 2650 m3/h | 2750 m3/h | 3000 m3/h | 3500 m3/h | 4000 m3/h | 4500 m3/h | |
| 换热量实验值/W | 5184.1 | 5269.8 | 5577.1 | 5689.2 | 5940.8 | 6415.7 | 6785.3 | 7126.8 |
| 换热量预测值/W | 5073.6 | 5164.2 | 5487.9 | 5596.9 | 5792.3 | 6292.5 | 6618.2 | 6909.7 |
| 换热量偏差/% | -2.13 | -2.00 | -1.60 | -1.62 | -2.50 | -1.92 | -2.46 | -3.05 |
| 管内压降实验值/kPa | 20 | 21 | 22 | 22 | 23 | 26 | 29 | 31 |
| 管内压降预测值/kPa | 20.2 | 20.6 | 21.9 | 22.6 | 23.7 | 26.5 | 28.7 | 30.9 |
| 管内压降偏差/% | 1.00 | -1.90 | -0.45 | 2.73 | 3.04 | 1.92 | -1.03 | -0.32 |
| 风侧压降实验值/kPa | 34.5 | 36.6 | 39.0 | 41.3 | 48.0 | 60.6 | 75.5 | 92.1 |
| 风侧压降预测值/kPa | 36.2 | 38.2 | 40.4 | 42.5 | 48.2 | 60.3 | 73.6 | 88.0 |
| 风侧压降偏差/% | 4.93 | 4.37 | 3.59 | 2.91 | 0.42 | -0.50 | -2.52 | -4.45 |
| 性能 | 额定制热 | 低温制热 | |||||
|---|---|---|---|---|---|---|---|
| 1100 m3/h | 1200 m3/h | 1300 m3/h | 1400 m3/h | 1500 m3/h | 1000 m3/h | 1100 m3/h | |
| 换热量实验值/W | 7074.4 | 7473.7 | 7868.5 | 8208.9 | 8553 | 7140.1 | 7604.4 |
| 换热量预测值/W | 6986.1 | 7420.6 | 7846.9 | 8223.7 | 8601.9 | 7027 | 7538.3 |
| 换热量偏差/% | -1.25 | -0.71 | -0.27 | 0.18 | 0.57 | -1.58 | -0.87 |
| 管内压降实验值/kPa | 18 | 20 | 21 | 23 | 24 | 18 | 19 |
| 管内压降预测值/kPa | 18.5 | 19.3 | 20.3 | 20.9 | 21.7 | 18.1 | 19.1 |
| 管内压降偏差/% | 2.78 | -3.50 | -3.33 | -9.13 | -9.58 | 0.56 | 0.53 |
| 风侧压降实验值/kPa | 27.5 | 31.2 | 35.2 | 39.1 | 43.4 | 23.9 | 27.4 |
| 风侧压降预测值/kPa | 27.3 | 31.2 | 35.3 | 39.6 | 44.1 | 23.6 | 27.2 |
| 风侧压降偏差/% | -0.73 | 0 | 0.28 | 1.28 | 1.61 | -1.26 | -0.73 |
Table 8 Comparisons of performance between predicted values and experimental values in the 7 mm double-row louver fin prototype
| 性能 | 额定制热 | 低温制热 | |||||
|---|---|---|---|---|---|---|---|
| 1100 m3/h | 1200 m3/h | 1300 m3/h | 1400 m3/h | 1500 m3/h | 1000 m3/h | 1100 m3/h | |
| 换热量实验值/W | 7074.4 | 7473.7 | 7868.5 | 8208.9 | 8553 | 7140.1 | 7604.4 |
| 换热量预测值/W | 6986.1 | 7420.6 | 7846.9 | 8223.7 | 8601.9 | 7027 | 7538.3 |
| 换热量偏差/% | -1.25 | -0.71 | -0.27 | 0.18 | 0.57 | -1.58 | -0.87 |
| 管内压降实验值/kPa | 18 | 20 | 21 | 23 | 24 | 18 | 19 |
| 管内压降预测值/kPa | 18.5 | 19.3 | 20.3 | 20.9 | 21.7 | 18.1 | 19.1 |
| 管内压降偏差/% | 2.78 | -3.50 | -3.33 | -9.13 | -9.58 | 0.56 | 0.53 |
| 风侧压降实验值/kPa | 27.5 | 31.2 | 35.2 | 39.1 | 43.4 | 23.9 | 27.4 |
| 风侧压降预测值/kPa | 27.3 | 31.2 | 35.3 | 39.6 | 44.1 | 23.6 | 27.2 |
| 风侧压降偏差/% | -0.73 | 0 | 0.28 | 1.28 | 1.61 | -1.26 | -0.73 |
| 1 | 吴伟明, 高岩. 铜与铝软钎焊技术的研究现状[J]. 电子工艺技术, 2008, 29(2): 105-108. |
| Wu W M, Gao Y. Research on soldering of copper and aluminum[J]. Electronics Process Technology, 2008, 29(2): 105-108. | |
| 2 | 汪霞玲. 全铝平行流蒸发器应用于家用空调器的设计与实验研究[D]. 杭州: 浙江大学, 2011. |
| Wang X L. Design and experimental study of brazed aluminum evaporator with louvered fin and parallel flow tube applied in household air-conditioner[D]. Hangzhou: Zhejiang University, 2011. | |
| 3 | 王丽丹, 曾庆亚, 曲华, 等. “铝代铜”技术在空调制冷行业中的开发与应用[J]. 家电科技, 2018(S1): 254-257, 277. |
| Wang L D, Zeng Q Y, Qu H, et al. Development and application of “aluminum replacing copper” technology in air conditioning and refrigeration industry[J]. Journal of Appliance Science & Technology, 2018(S1): 254-257, 277. | |
| 4 | 赵洋. 铝制空调用换热器标准项目简介[J]. 家用电器, 2022(8): 66. |
| Zhao Y. Brief introduction of standard project of heat exchanger for aluminum air conditioner[J]. Home Appliance, 2022(8): 66. | |
| 5 | 赵洋, 蔡宁, 杨双, 等. 铝制换热器耐腐蚀性测试标准与研究综述[J]. 制冷与空调(四川), 2022, 36(4): 584-591, 615. |
| Zhao Y, Cai N, Yang S, et al. Review on corrosion resistance test standard and research of aluminum heat exchanger[J]. Refrigeration & Air Conditioning, 2022, 36(4): 584-591, 615. | |
| 6 | 余鑫泉, 盛健, 张华, 等. 空调用翅片管式换热器腐蚀及防护研究进展[J]. 制冷学报, 2022, 43(1): 1-10. |
| Yu X Q, Sheng J, Zhang H, et al. A review of studies on corrosion and protection of finned tube heat exchanger for air conditioner[J]. Journal of Refrigeration, 2022, 43(1): 1-10. | |
| 7 | 常银玲, 张天坤, 斯一波, 等. 翅片管式换热器的翅片耐腐蚀涂层研究[J]. 制冷与空调, 2018, 18(6): 18-22. |
| Chang Y L, Zhang T K, Si Y B, et al. Study on corrosion-resistant coating of finned-tube heat exchanger[J]. Refrigeration and Air-Conditioning, 2018, 18(6): 18-22. | |
| 8 | 李云顶. 铝制翅片管换热器结构优化与性能数值分析[D]. 郑州: 中原工学院, 2023. |
| Li Y D. Structure optimization and performance numerical analysis of aluminum finned tube heat exchanger [D]. Zhengzhou: Zhongyuan University of Technology, 2023. | |
| 9 | 赵方亮, 席战利, 武滔. 铝管换热器在家用空调器上的应用与研究[C]//2017年中国家用电器技术大会. 北京: 中国轻工业出版社, 2017: 414-417. |
| Zhao F L, Xi Z L, Wu T. Application and research of aluminum tube heat exchanger in household air conditioner[C]//Proceedings of 2017 China Household Electrical Appliance Technology Conference. Beijing: China Light Industry Press, 2017: 414-417. | |
| 10 | 位振强, 石鑫, 徐春峰, 等. 全铝换热器在中央空调中的应用[J]. 家电科技, 2023(S1): 34-36. |
| Wei Z Q, Shi X, Xu C F, et al. Application of all-aluminum heat exchanger in central air conditioning[J]. Journal of Appliance Science & Technology, 2023(S1): 34-36. | |
| 11 | Liu J, Wei W J, Ding G L, et al. A general steady state mathematical model for fin-and-tube heat exchanger based on graph theory[J]. International Journal of Refrigeration, 2004, 27(8): 965-973. |
| 12 | 荣俊. 整体式全铝换热器传热性能及其在制冷空调器上应用研究[D]. 北京: 北京理工大学, 2015. |
| Rong J. Research on integral aluminum heat exchanger performance and its use in refrigeration air conditioning[D]. Beijing: Beijing Institute of Technology, 2015. | |
| 13 | 贾润泽, 王义春, 王红, 等. 全铝无接触热阻空调换热器的优化设计及试验[J]. 华中科技大学学报(自然科学版), 2014, 42(7): 12-16. |
| Jia R Z, Wang Y C, Wang H, et al. Optimization design and test on non-contact thermal resistance heat exchanger of air-condition[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2014, 42(7): 12-16. | |
| 14 | 王瑞, 王义春, 冯朝卿, 等. 空调全铝新型换热器结构优化与性能研究[J]. 北京理工大学学报, 2012, 32(7): 699-704. |
| Wang R, Wang Y C, Feng C Q, et al. Structural optimization and performance test about aluminum heat exchanger of air-condition[J]. Transactions of Beijing Institute of Technology, 2012, 32(7): 699-704. |
| [1] | Hao LIU, Lin WANG, Hao DING, Jiayi GENG. Vapor-liquid equilibrium study of R1150+R1234ze(E) binary system at 223.15—253.15 K [J]. CIESC Journal, 2025, 76(S1): 1-8. |
| [2] |
Jichao GUO, Xiaoxiao XU, Yunlong SUN.
Airflow simulation and optimization based on |
| [3] | Aihua MA, Shuai ZHAO, Lin WANG, Minghui CHANG. Research on dynamic simulation methods for solar-powered absorption refrigeration cycles [J]. CIESC Journal, 2025, 76(S1): 318-325. |
| [4] | Chengyun WU, Haoran SUN. Performance simulation and fuel penalty investigation of civil aircraft air conditioning systems [J]. CIESC Journal, 2025, 76(S1): 351-359. |
| [5] | Wei LI, Hao CHEN, Gang KE, Xiaosheng HUANG, Chengjiao LI, Hang GUO, Fang YE. Simulation of the fresh air system in the simulation platform of the high-altitude environmental adaptability laboratory [J]. CIESC Journal, 2025, 76(S1): 360-369. |
| [6] | Senqing ZHUO, Hua CHEN, Wei CHEN, Bin SHANG, Hengheng LIU, Tangtang GU, Wei BAI, Longyan WANG, Haomin CAO, Guoliang DING. Model development and software implementation for predicting APF of multi-split air conditioning system [J]. CIESC Journal, 2025, 76(S1): 370-376. |
| [7] | Xiaoguang MI, Guogang SUN, Hao CHENG, Xiaohui ZHANG. Performance simulation model and validation of printed circuit natural gas cooler [J]. CIESC Journal, 2025, 76(S1): 426-434. |
| [8] | Hao HUANG, Wen WANG, Peiyun LI. Research on properties of wankel expanders under series connection [J]. CIESC Journal, 2025, 76(S1): 435-443. |
| [9] | Yan LI, Meili LEI, Xingang LI. Regulation strategy of sequential simulated moving bed structure based on separation performance [J]. CIESC Journal, 2025, 76(5): 2219-2229. |
| [10] | Jiashun LI, Wang LI, Zuzeng QIN, Tongming SU, Xinling XIE, Hongbing JI. Preparation of polyimide-reinforced lignocellulosic nanofibril aerogel and its oil-water separation performance [J]. CIESC Journal, 2025, 76(5): 2169-2185. |
| [11] | Hanxiao ZHANG, Ruiqi WANG, Yating ZHANG. Prediction of scale factor of heat exchangers based on CNN-LSTM neural network [J]. CIESC Journal, 2025, 76(4): 1671-1679. |
| [12] | Fazheng WANG, Lin SUI, Weili XIONG. TTPA-LSTM soft sensor modeling for multi-sampling rate data [J]. CIESC Journal, 2025, 76(4): 1635-1646. |
| [13] | Xinmei ZHANG, Ao ZHANG, Dehua QIU, Xiaoshuang LIU, Chen CHEN. Dynamic domino effect assessment method based on thermal response mechanism of pool fire in tank farm [J]. CIESC Journal, 2025, 76(4): 1885-1897. |
| [14] | Haochen TIAN, Zhixian MA, Zhihao WANG. Film condensation heat transfer characteristics of R1234ze(E) on a horizontal three-dimensional finned tube [J]. CIESC Journal, 2025, 76(3): 975-984. |
| [15] | Yaqi HOU, Wei ZHANG, Hong ZHANG, Feiyu GAO, Jiahua HU. Optimization of LBM multiphase flow models based on machine learning and particle swarm algorithm [J]. CIESC Journal, 2025, 76(3): 1120-1132. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||