[1]李会知,翟 参,肖方恰,等.生猪转运车烘干房风系统优化研究[J].郑州大学学报(工学版),2020,41(01):8-12.[doi:10.13705/j.issn.1671-6833.2019.04.004]
　Li Huizhi,Zhai Ginseng,Xiao Fangcha,et al.Optimization Research of a Large Car Drying Room on the AIRPAK[J].Journal of Zhengzhou University (Engineering Science),2020,41(01):8-12.[doi:10.13705/j.issn.1671-6833.2019.04.004]
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生猪转运车烘干房风系统优化研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
41
期数:
2020年01期
页码:
8-12
栏目:
出版日期:
2020-03-10

文章信息/Info

Title:
Optimization Research of a Large Car Drying Room on the AIRPAK
作者:
李会知; 翟 参; 肖方恰; 邢金超
郑州大学 土木工程学院，郑州力之天农业科技有限公司
Author(s):
Li Huizhi 1; Zhai Ginseng 1; Xiao Fangcha 1; Xing Jinchao 2
1. School of Civil Engineering, Zhengzhou University; 2. Zhengzhou Lizhitian Agricultural Technology Co., Ltd. 
关键词:
烘干房; 数值仿真模拟; Airpak; 优化研究; 能耗计算
Keywords:
drying roomcomputational simulationAirpakoptimization researchenergy consumption caculation
DOI:
10.13705/j.issn.1671-6833.2019.04.004
文献标志码:
A
摘要:
生猪转运车烘干房用于杀灭车内的细菌和病毒，避免生猪感染疾病。 初步设计的烘干房存在 升温期能耗偏大和烘干区域温度场、风速场不够合理的问题。 通过现场试验和数值仿真模拟相结合的 方法，对烘干房的风系统进行了优化改进研究。 首先，利用烘干房现场试验数据，检验数值仿真模拟研 究方法的可行性；然后，通过分别改变烘干房送风口位置、后置风机位置和送风工艺参数进行仿真模拟 优化，得出合理的风系统设计形式和参数。 研究表明：送风工艺参数优化后，烘干房一次升温理论能耗 成本降低了16％
Abstract:
The drying process of animal transport vehicle drying room generally includes three stages: a heating period, a high temperature evaporation period, and a high temperature drying period. Be aimed at the phenomenon of high energy consumption in the heating period and undesirable flow field of exiting large-scale truck drying room, the three-dimensional simplified physical model of drying room was established, and the simulation software Airpak was used as the research method to optimize the structure design and process parameters of the drying room. Firstly, the feasibility of simulation research method was tested by field test and theoretical analysis, and the suitable turbulence calculation model was screened out. Then, the influence factors of the flow field were combined into different optimization schemes , and a reasonable structure design pattern was obtained according to the simulation. Finally, the process parameters were optimized, and the theoretical energy consumption calculation shows that the cost of the optimized heating energy consumption by once is decreased by 13.19 yuan
更新日期/Last Update: 2020-02-22