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Flow field simulation and structural optimization of the top fan drying room based on CFD

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DOI: 10.23977/jemm.2024.090207 | Downloads: 18 | Views: 334

Author(s)

Yifeng Zhu 1, Liping Sun 1, Jiuqiang Wang 2

Affiliation(s)

1 Northeast Forestry University, Harbin, 150040, China
2 Harbin Engineering University, Harbin, 150040, China

Corresponding Author

Yifeng Zhu

ABSTRACT

In order to improve the wind-speed uniformity field distribution in the hot air drying room, the numerical simulation analysis of the internal three-dimensional wind speed field was carried out by using the hot air drying room of the top fan type as the model. The wind-speed uniformity field was used to quantify the evaluation index, and the optimal scheme was screened by data comparison analysis. Eight structural optimization schemes were proposed by using three design methods: curved right-angle structure, adjustment of saw spacing, and increase or decrease of the number of average wind plates. The wind speed field distribution between the original structure model and the Structure optimization scheme under different wind speeds was compared (3m/s, 5m/s, 7m/s) and analyzed. It was found that there was a positive correlation between the wind speed data between the air inlet and the sampling point. The test results show that when the inlet wind speed is 5m/s, the velocity non-uniformity coefficient of optimal scheme B2 is 82.34% lower than that of the original structure model, the difference of wind speed sampling points is reduced by 106.2%, and the average wind speed in the drying room is increased by 12.88%. After the structural optimization, the area of the low-speed turbulent region of the drying room is reduced, the wind speed difference in the drying area is reduced, and the wind-speed uniformity in the drying room is improved.

KEYWORDS

Drying room; numerical simulation; structural optimization; airflow distribution; wind-speed uniformity

CITE THIS PAPER

Yifeng Zhu, Liping Sun, Jiuqiang Wang, Flow field simulation and structural optimization of the top fan drying room based on CFD. Journal of Engineering Mechanics and Machinery (2024) Vol. 9: 50-58. DOI: http://dx.doi.org/10.23977/jemm.2024.090207.

REFERENCES

[1] Liu R., Dong J.X., Wang D., et al. Flow-field simulation and structural optimization of the chrysanthemum hot air drying room.[J].Journal of Machine design, 2021, 38(01):47-54. 
[2] Elustondo D., et al.Advances in wood drying research and development.[J].Drying Technology, 2023,41(6):890-914.
[3] Shen Y.L., Wang Z., et al. Effect of Different Drying Methods on the Drying Characteristics of Plantation-Grown Pinus sylvestris var. mongolica.[J].Scientia Silvae Sinicae, 2020,56(11):151-158.
[4] MENG Z.X., QIAO J.B. Multi-Objective Optimization of Energy Consumption for Wood Drying Based on NSGA-II Algorithm [J]. China Forest Products Industry. 2023, 60(09):1-6.
[5] Fu Z.Y., Cai Y.C., Zhou Y.D., et al. Cuerent Staus and Prospects of Wood Drying Stresses Research.[J].Scientia Silvae Sinicae, 2021,57(9):160-167.
[6] Coban, S.O., et al. A review on computational fluid dynamics simulation methods for different convective drying applications.[J].Thermal Science, 2023,27(1B):825-842.
[7] Kadem, S., et al. Computational analysis of heat and mass transfer during microwave drying of timber.[J].Thermal Science, 2016,20(5):1447-1455.
[8] Chen Z.F., et al. Numerical simulation and experiment of four-way ventilation mixed flow drying section for rice.[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022,38(24):237-247.
[9] Wang Z.W., et al. Optimal simulation design of structure and parameter in heat pump drying room.[J].Transactions of the Chinese Society for Agricultural Machinery, 2020,51(S):464-475.
[10] HUO P., et al. Optimization of Flow Field Uniformity in Drying Chamber Based on CFD.[J].China Ceramics, 2023,59(06):74-82. 
[11] Li Q.H., et al. Analysis on the wind-speed field characteristics and the structure optimization of the power lithium battery’s suspension oven.[J].Journal of Machine design, 2021,38(08):31-37.
[12] ZHANG X.Y., et al. Analysis and design study on the structural performance of new flow tube grate tooth seal for   high altitude table.[J/OL].Journal of Aerospace Power,1-13[2024-03-28].https://doi.org/10.13224/j. cnki.jasp. 20230653.
[13] YU H.M., et al. Optimization Design and Performance Test of Multi-layer Tray Straw Tray Hot Air Assisted Microwave Drying Device.[J]. Transactions of the Chinese Society for Agricultural Machinery, 2023,54(11):397-411.
[14] Liu Y.H., et al. Optimal design and experimental verification of tilted tray air-impingement dryers.[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022,38(05):269-278.
[15] WU M., et al. Design and Experiment of Infrared-hot Air Combined Dryer Based on Temperature and Humidity Control.[J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(S1):483-492.
[16] Jiang D.L., et al. Desing and Performance Verification of Infrared Combined Hot Air Drying Device.[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022,53(12):411-420.
[17] Tang H.T., et al. Aerodynamic Characteristics Analysis of Curve Overtaking Based on CFD.[J].Journal of Engineering Mechanics and Machinery, 2023,8(4):85-96.
[18] Zhu Y.F., et al. Influence of improved structure of drying kiln on the uniformity of wind velocity flow field.[J].Transactions of the Chinese Society of Agricultural Engineering, 2021,37(24):327-337.
[19] Ding Y., et al. Simulation and optimization of wind field inside veneers solar drying kiln. [J].Journal of Northeast Forestry University, 2021,49(2):101-106.

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