摘要
为掌握液氮充注气调厢开门时厢内O2体积分数的变化规律,在分析热压作用下气调厢开门渗风特性的基础上,建立了O2体积分数预测模型,并进行了试验验证。研究结果表明：气调厢开门期间,开门时间越短则气调厢内外空气交界面的平均温度上升越快;在气调厢内相对湿度为90%~95%情况下,气调厢内外空气交界面的相对湿度在开门后60 s内即迅速上升至100%,并且开门期间平均相对湿度均在97%以上;开门时气调厢内O2体积分数上升速度随着开门时间的延长而逐渐降低,通过对比计算数据和试验数据发现气调厢内O2体积分数试验值和理论值存在一定误差,开门时间为3 min以上时,相对误差均在10%以内。
Studying the features of gas changes in controlled atmosphere compartment contributes to improve performance and promote the application of controlled atmosphere compartment. In order to obtain the changing regulations of oxygen volume fraction in the controlled atmosphere compartment by liquid nitrogen injection, the air infiltration characteristics under thermal pressure of compartment were analyzed, and then the predicting model of oxygen volume fraction in the compartment was established. Moreover, verification experiment was also carried out. Results indicate that during the door-opening, the shorter the door-opening time is, the faster the average temperature rises. The relative humidity quickly rises to 100% within 60 s after opening the door on condition that the relative humidity in the compartments is 90% -95% , and the average relative humidity is more than 97% during door-opening. What＇s more, the rising velocity of oxygen volume fraction gradually decreases with longer duration of door-opening, and there is certain error between experimental value and theoretical value of oxygen volume fraction based on theoretical calculation and experiment. However, the relative error between the experimental and theoretical value is within 10% when the door-opening time is more than 3 min. This research provides a reference for predicting matching amount for liquid nitrogen and safety range of oxygen volume fraction for safe operation.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2015年第3期223-227,222,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
广东省自然科学基金资助项目(S2012010010388)
广州市科技计划资助项目(2014J2200070)
广东省科技计划资助项目(2012B020313007)
关键词
冷藏运输
气调厢
开门
氧气体积分数
预测模型
Refrigerated transportation Controlled atmosphere compartment Door-opening Oxygenvolume fraction Predicting model
