干燥过程中颗粒湿含量的检测  

Detection of moisture content of particles during drying

作　　者：陈敏[1] 王靖岱[1] 阳永荣[1] 廖祖维[1] 

机构地区：[1]化学工程国家重点实验室(浙江大学)浙江大学化学工程与生物工程学系,浙江杭州310027

出　　处：《化工学报》2011年第5期1269-1274,共6页CIESC Journal

基　　金：国家自然科学基金项目(21076180);中央高校基本科研业务费专项资金项目(2009QNA4028)~~

摘　　要：引言干燥是流程工业中重要的单元操作,是众多产品生产的关键步骤,在医药化工、食品、矿产加工、农产品加工等领域都有涉及。干燥效果的好坏不仅决定了生产单元的能耗,还会对产品的性能、形态、质量等产生影响。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 

分 类 号：TQ021.1[化学工程]