陈忠加,赵宇轩,卢丰源,等. 蒸汽烫漂与热风干燥箱流场优化设计及仿真[J]. 农业工程学报,2024,40(6):60-71. DOI: 10.11975/j.issn.1002-6819.202311191
    引用本文: 陈忠加,赵宇轩,卢丰源,等. 蒸汽烫漂与热风干燥箱流场优化设计及仿真[J]. 农业工程学报,2024,40(6):60-71. DOI: 10.11975/j.issn.1002-6819.202311191
    CHEN Zhongjia, ZHAO Yuxuan, LU Fengyuan, et al. Flow field optimized design and simulation of steam blanching andhot air drying chamber[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(6): 60-71. DOI: 10.11975/j.issn.1002-6819.202311191
    Citation: CHEN Zhongjia, ZHAO Yuxuan, LU Fengyuan, et al. Flow field optimized design and simulation of steam blanching andhot air drying chamber[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(6): 60-71. DOI: 10.11975/j.issn.1002-6819.202311191

    蒸汽烫漂与热风干燥箱流场优化设计及仿真

    Flow field optimized design and simulation of steam blanching andhot air drying chamber

    • 摘要: 农产品的烫漂与干燥是农产品加工的关键技术。农产品蒸汽烫漂与热风干燥箱是集烫漂与干燥一体的新型农产品绿色保质低碳智能干燥技术装备。农产品蒸汽烫漂与热风干燥箱内部流场均匀性直接影响着农产品烫漂与干燥效果。为提高其内部速度均匀性与温湿度均匀性,同时减少冷凝现象发生,采用计算流体力学(computational fluid dynamics,CFD)方法建立蒸汽烫漂与热风干燥箱模型,对其送风方式和送风口数量进行研究。结果表明:侧送侧回的送风方式在速度场以及温湿度场的均匀性总体优于上送下回,能量利用系数提高约18%,箱内壁面冷凝面积小于上送下回。仿真研究表明,当送风口数量为4个时,箱内的温度场和相对湿度场均匀性更好,能量利用系数最高。试验表明,蒸汽烫漂与热风干燥箱的试验值和仿真值最大温度偏差为2.3 ℃,相对湿度误差不超过1.3%,误差在合理范围内,仿真结果可靠,研究结果可为农产品低碳智能干燥新技术的研究提供参考。

       

      Abstract: Blanching and drying have been widely used to process agricultural products. Some changes can be induced in the cellular structure of products exposed to the high temperature and humidity, particularly for the subsequent processing, such as peeling, sterilization, preservation, and drying. The quality of agricultural products can be enhanced to extend their shelf life and storage period, thereby increasing their added value and market competitiveness. Among them, the steam blanching and hot-air drying cabinet can also serve as innovative drying equipment to combine the functions of blanching and drying for agricultural products. Green and low-carbon working can be adopted to efficiently handle the processing needs of agricultural products. This intelligent drying equipment is equipped with automatic control and monitoring functions, thus enabling real-time monitoring and adjustment of internal temperature and humidity. The quality and safety of agricultural products can be improved during blanching or drying. Additionally, energy-saving and environmental protection can be used to effectively reduce energy consumption and emissions, fully meeting the requirements of sustainable development. Therefore, the steam blanching and hot-air drying cabinet shared the broad application prospects for agricultural products. A green, efficient, and intelligent drying solution can also be provided for the agricultural processing industry. The high quality of agricultural products can depend mainly on the uniform internal flow field in the blanching and drying cabinets, such as the velocity, temperature and relative humidity. This study aims to improve the field of internal velocity, temperature and humidity, in order to reduce the occurrence of condensation inside the cabinet. A mathematical model was established using computational fluid dynamics (CFD). Air supply was evaluated to determine the number of air supply ports for the agricultural products in the steam blanching and hot-air drying cabinets. The research results showed that the side supply and side return air supply were generally better than the top supply and bottom return air supply, in terms of the uniformity of the velocity field, temperature field, and relative humidity field. An energy utilization coefficient increased by about 18%. The condensation area on the inner wall of the cabinet was smaller than that of the top supply and bottom return air supply. Simulation studies showed that better uniformity of temperature and humidity was achieved inside the cabinet when the number of air supply ports was 4. The energy utilization coefficient was also the highest. The experiment showed that the maximum temperature deviation between the experiment and the simulation was 2.3 ℃, and the relative humidity error was less than 1.3% within a reasonable range. The finding can provide a strong reference for the low-carbon and intelligent drying of agricultural products.

       

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