Effects of aquatic feed layer thickness on distribution of airflow velocity on feed layer surface in belt dryer

Zhang Pengfei; Wu Pengpeng; Zhang Qi; Chen Bo; Xi Xiaobo; Zhang Jianfeng; Zhang Ruihong

doi:10.11975/j.issn.1002-6819.2019.07.035

Volume 35 Issue 7

Mar. 2019

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Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2019 > 35(7): 288-294. > DOI: 10.11975/j.issn.1002-6819.2019.07.035

Zhang Pengfei, Wu Pengpeng, Zhang Qi, Chen Bo, Xi Xiaobo, Zhang Jianfeng, Zhang Ruihong. Effects of aquatic feed layer thickness on distribution of airflow velocity on feed layer surface in belt dryer[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(7): 288-294. DOI: 10.11975/j.issn.1002-6819.2019.07.035

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Effects of aquatic feed layer thickness on distribution of airflow velocity on feed layer surface in belt dryer

1.
College of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China
2.
National Feed Processing Equipment Engineering Technology Research Center, Jiangsu Muyang Holdings Co., Ltd., Yangzhou 225120, China

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Received Date: October 25, 2018
Revised Date: March 05, 2019
Published Date: March 31, 2019

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Abstract

Abstract

Moisture content of the aquatic feed after extruder is frequently high in the production process, and drying is necessary to reduce moisture content of the aquatic feed. The thickness of feed layer is an important parameter during the aquatic feed drying. On one hand, the thickness of feed layer represents the capacity of the belt dryer per unit time(the thicker the feed layer, the higher the productivity), which affects the working energy consumption of the belt dryer. On the other hand, the thickness of feed layer also affects airflow distribution inside the belt dryer, thus affecting the distribution uniformity of airflow velocity on the surface of feed layer. The airflow velocity on feed layer surface directly influences the moisture content of aquatic feed after drying, and the uniformity of airflow velocity on feed layer surface directly influences the uniformity of moisture content of aquatic feed. In this paper, effects of aquatic feed layer thickness on airflow distribution in belt dryer and airflow velocity distribution on feed layer surface was studied. Firstly, three different kinds of internal airflow distribution inside the belt dryer were simulated using computational fluid dynamics (CFD), corresponding to three kinds of feed layer thicknesses (20, 30, 40 mm). Secondly, a belt dryer was designed and manufactured as the experimental platform based on the actual production needs in the National Feed Processing Equipment Engineering and Research Center. Thirdly, three series of experiments were conducted using the experimental platform corresponding to three kinds of feed layer thickness (20, 30, 40 mm), and repeated three times in every series of the experiment. Before the experiment, nine airflow velocity sensors were placed at nine points on the surface of the feed layer in order to measure the airflow velocity values of that nine points during the experiment. After the simulations and experiments, not only the simulation results of the airflow velocity distribution on the feed layer surface and experimental results of that were compared, but also the difference of airflow velocity distribution on feed surface between different feed layer thickness were compared. Results showed that the trend of airflow velocity distribution in simulation results and experimental results were consistent, which proved the simulations and experiments in this paper were reliable. Besides, the error between simulations and experimental results were also explained in this paper. According to the simulation and experimental results, aquatic feed layer thickness affected the airflow distribution inside the belt dryer and the airflow velocity distribution on the feed layer surface. When the feed layer thickness was 20 mm, the airflow velocity uniformity of airflow velocity distribution was not good. But when the feed layer thickness was 40 mm, airflow velocity uniformity of airflow velocity distribution was respectively good. The research in this paper provides theoretical guidance for the selection of feed layer thickness parameters in actual production of belt dryers, which can reduce the moisture content of aquatic feed and make the moisture content uniformity of aquatic feed good after drying.
- dryer,
- computational fluid dynamics,
- wind,
- airflow,
- aquatic feed,
- feed layer thickness,
- airflow velocity distribution

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References (32)

References

[1]	衣晓岩. 国内饲料行业发展现状分析[J]. 山东畜牧兽医，2017，38(8)：61－62.
[2]	马广鹏. 中国饲料行业发展现状及趋势分析[J]. 饲料工业，2013，34(4)：45－47.
[3]	2018年饲料行业发展现状分析[J]. 北方牧业，2018(12)：8.
[4]	闫奎友. 中国饲料工业发展的40年[J]. 中国饲料，2018(23)：9－11.Yan Kuiyou. The forty years development of China feed industry[J]. Chinese Feed, 2018(23): 9－11. (in Chinese with English abstract)
[5]	Zhu S G. On Marketing innovation of aquatic feed[J]. Fishery Information & Strategy, 2012, 27(1): 42－46.
[6]	Zhang Pengfei, Wu Pengpeng, Zhang Qi, et al. Optimization of feed thickness on distribution of airflow velocity in belt dryer using computational fluid dynamics[J]. Energy Procedia, 2017, 142: 1595－1602.
[7]	Jaberi-Douraki M, Moghadas S M. Optimality of a time-dependent treatment profile during an epidemic[J]. Journal of Biological Dynamics, 2013, 7(1): 133－147.
[8]	Jaberi-Douraki M, Moghadas S M. Optimal control of vaccination dynamics during an influenza epidemic[J]. Mathematical Biosciences and Engineering (Online), 2014, 11(5): 1045－1063.
[9]	Jaberi-Douraki M, Heffernan J M, Wu J, et al. Optimal treatment profile during an influenza epidemic[J]. Differential Equations & Dynamical Systems, 2013, 21(3): 237－252.
[10]	Zhang Q, Shi Z, Zhang P, et al. Predictive temperature modeling and experimental investigation of ultrasonic vibration-assisted pelleting of wheat straw[J]. Applied Energy, 2017, 205: 511－528.
[11]	李启武. 制粒和膨化加工技术在水产饲料生产上的应用分析[J]. 饲料工业，2001(7)：6－8.
[12]	牛化欣，过世东，谢中国. 膨化和制粒加工对饲料氨基酸稳定性的影响[J]. 中国粮油学报，2013，28(12)：86－90.Niu Huaxin, Guo Shidong, Xie Zhongguo. Effects of extrusion processing and pelleting on stability of feed amino acids[J]. Journal of the Chinese Cereals and Oils Association, 2013, 28(12): 86－90. (in Chinese with English abstract)
[13]	张名伟，梅凤艳，曹志勇，等. 饲料配方与制粒工艺对水产饲料质量的影响[J]. 饲料工业，2016，37(16)：53－57.Zhang Mingwei, Mei Fengyan, Cao Zhiyong, et al. Effect of feed formulation and granulating process on aquatic feed quality[J]. Feed Industry, 2016, 37(16): 53－57. (in Chinese with English abstract)
[14]	Yue X, Zhao J, Shi E, et al. Analysis of air velocity distribution in a multilayer conveyor dryer by computational fluid dynamics[J]. Asia-Pacific Journal of Chemical Engineering, 2007, 2(2): 108－117.
[15]	Tomás N, Sun D W. Computational fluid dynamics (CFD)-an effective and efficient design and analysis tool for the food industry: A review[J]. Trends in Food Science & Technology, 2006, 17(11): 600－620.
[16]	BHner M, Barfuss I, Heindl A, et al. Improving the airflow distribution in a multi-belt conveyor dryer for spice plants by modifications based on computational fluid dynamics[J]. Biosystems Engineering, 2013, 115(3): 339－345.
[17]	Defraeye T. Advanced computational modelling for drying processes: A review[J]. Applied Energy, 2014, 131(9): 323－344.
[18]	Norton T, Sun D W. Computational fluid dynamics (CFD)-an effective and efficient design and analysis tool for the food industry: A review[J]. Trends in Food Science & Technology, 2006, 17(11): 600－620.
[19]	Misha S, Mat S, Ruslan M H, et al. The CFD simulation of tray dryer design for kenaf core drying[J]. Applied Mechanics and Materials, 2013, 393: 717－722.
[20]	Darabi H, Zomorodian A, Akbari M H, et al. Design a cabinet dryer with two geometric configurations using CFD[J]. Journal of Food Science & Technology, 2015, 52(1): 359－366.
[21]	师建芳，吴中华，刘清，等. 不同进风方案下隧道烘干窑热风流场CFD模拟和优化[J]. 农业工程学报，2014，30(14)：315－321.Shi Jianfang, Wu Zhonghua, Liu Qing, et al. CFD simulation and optimization of airflow field in industrial tunnel dryer with different blowing designs[J]. Transactions of the Chinese Society of Agricultural Engineering(transactions of the CASE), 2014, 30(14): 315－321. (in Chinese with English abstract)
[22]	张伟，任广跃，段续，等. CFD在食品干燥过程及其干燥设备设计中的应用[J]. 干燥技术与设备，2013，11(6)：31－35.Zhang Wei, Ren Guangyue, Duan Xu, et al. Application of cfdin food drying process and dryer design[J]. Drying Technology & Equipment, 2013, 11(6): 31－35. (in Chinese with English abstract)
[23]	Amanlou Y, Zomorodian A. Applying CFD for designing a new fruit cabinet dryer[J]. Journal of Food Engineering, 2010, 101(1): 8－15.
[24]	李奇. 基于CFD烘干平板传热模拟分析[J]. 中国农机化学报，2013，34(6)：129－133.Li Qi. Simulation to heat transfer of flat plate drying based on CFD[J]. Journal of Chinese Agricultural Mechanization, 2013, 34(6): 129－133. (in Chinese with English abstract)
[25]	Martin B, Isabel B, Albert H, et al. Improving the airflow distribution in a multi-beltconveyor dryer for spice plants by modifications based on computational fluid dynamics[J]. Biosystems Engineering, 2013(115): 339－345.
[26]	Zhang Hang, Deng Shengxiang. Numerical simulation of moisture-heat coupling in belt dryer and structure optimization[J]. Applied Thermal Engineering, 2017, 127: 292－301.
[27]	Majumdar R K, Singh R K R. Effect of extrusion conditions on the physicochemical properties and sensory characteristics of fish-based expanded snacks[J]. Journal of Food Processing & Preservation, 2014, 38(3): 864－879.
[28]	Gat Y, Ananthanarayan L. Effect of extrusion process parameters and pregelatinized rice flour on physicochemical properties of ready-to-eat expanded snacks[J]. Journal of Food Science and Technology, 2015, 52(5): 2634－2645.
[29]	Tekasakul P, Dejchanchaiwong R, Tirawanichakul Y, et al. Three-dimension numerical modeling of heat and moisture transfer in natural rubber sheet drying process[J]. Drying Technology, 2015, 33(9): 1124－1137.
[30]	Varma M N, Kannan A. CFD studies on natural convective heating of canned food in conical and cylindrical containers[J]. Journal of Food Engineering, 2006, 77(4): 1024－1036.
[31]	Le H, Moin P. Direct numerical simulation of turbulent flow over a backward-facing step[J]. Journal of Fluid Mechanics, 2011, 330(1): 349－374.
[32]	Zhang Pengfei, Mu Yanbin, Shi Zhenzhen, et al. Computational fluid dynamic analysis of airflow in belt dryer: Effects of conveyor position on airflow distribution[J]. Energy Procedia, 2017, 142: 1367－1374.

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