化工学报2011，Vol.62Issue(5)：1269-1274,6.DOI:10.3969/j.issn.0438-1157.2011.05.014
干燥过程中颗粒湿含量的检测
Detection of moisture content of particles during drying
摘要
Abstract
Real-time, on-line measurement of moisture content of particles has become one of the most important issues in drying process controlling. In this work, acoustic emission (AE) technique was applied to determine the moisture content. A characteristic frequency band of AE signals, which represents the moisture content, was obtained by using wavelet transform and spectral analysis. The analysis results showed that, with the decrease of moisture content, the 1st and 3rd energy fractions decreased and increased respectively, and the characteristic peak moved to lower frequency. Furthermore, a moisture prediction model based on the characteristic frequency analysis was constructed, which could quantitatively establish the relationship between the energy features and moisture. The root mean square error (RMSE) of the prediction model was 0. 0422, indicating that the model predicted the moisture with high precision. The AE method is a non-intrusive and rapid technique that makes online measurement possible,which has a positive impact on process optimization and product upgrading.关键词
声发射技术/流化床干燥器/湿含量/预测模型Key words
acoustic emission technique/ fluidized bed dryer/ moisture content/ prediction model分类
化学化工引用本文复制引用
陈敏,王靖岱,阳永荣,廖祖维..干燥过程中颗粒湿含量的检测[J].化工学报,2011,62(5):1269-1274,6.基金项目
国家自然科学基金项目(21076180) （21076180）
中央高校基本科研业务费专项资金项目(2009QNA4028). （2009QNA4028）
