摘要
木质包装热处理标准要求使木材中心温度达到56℃并保持30min以上,然而中心温度直接检测受仪器设备、检测技术等因素的影响。为了准确监测中心温度,建立根据环境参数如厚度、含水率、加热温湿度等预测中心温度的数学模型,本项研究使用KBF720型恒温恒湿热处理箱,在设定温度为65、70、75、80、85℃,相对湿度分别为50、70、90%的热处理条件下,对厚度为5、7.5、10和12.5cm,含水率分别为20%、50%、75%、100%的杨树木板进行热空气处理试验,对升温速率与各环境参数之间相互关系进行分析,结果表明:升温速率与加热温度、湿度呈直线正相关,与木板厚度、含水率呈直线负相关。在此基础上,利用SPSS进行多元直线回归分析后,建立了预测中心温度达到56℃所需时间的预测模型,其预测值与实测值的偏差的绝对值平均为2.78%,最大偏差为-9.95%和11.73%。
The general requirement for heat treatment of wood packaging materials is that wood core temperature shall be held at 56℃ for 30 min, but the direct detection of the core temperature was affected by detecting devices and techniques. In order to detect the core temperature exactly and establish the prediction model for heating time based on the heating factors,, such as heating temperature, relative humidity, thickness, moisture content and basic density of wood. This study, which was conducted in the Binder KBF720 Constant Temperature and Humidity Chamber, explored several of these factors systematically, including thickness and moisture content of poplar boards, heating temperature and humidity in the chamber. Different poplar boards with the thickness of 5, 7.5, 10 and 12.5cm, and moisture content of about 20%, 50%, 75% and 100% were air heated under the temperature and humidity combination of 65, 70, 75, 80 and 85℃ at relative humidity of 50% ,70% ,and 90% respectively. The results of correlation analysis of the heating rate for core temperature increase in poplar board indicated that ： it had strong positive correlation with the heating temperature and humidity （ r 〉 0.9）, and had strong negative correlation with the thickness and moisture content of poplar board （ r 〉 0.9）, respectively. This study also looked at developing an analytical method to predict heating time for wood core temperature reach 56℃ as a function of heating variables. The equation developed by SPSS （Version 13.0） multiple linear regression was very successful in estimating heating time as a function of heating temperature and humidity, the thickness, moisture content and initial temperature of poplar wood, as the mean deviation between predicted and actual valve was 2. 78% , and the largest deviation was -9.95% and 11. 73%.
出处
《植物检疫》
2008年第6期337-342,共6页
Plant Quarantine
基金
科技部"十一五"科技支撑计划<出入境检验检疫阻断控制技术研究>项目(2006BAK10B08)的资助
关键词
热处理
杨木
预测模型
heat sterilization, heat treatment, poplar board, prediction
