MOISTURE PREDICTION DURING PASTE DRYING IN A SPOUTED BED

摘要：

　　The objective of this work was to derive and experimentally verify a hybrid CST/Neural network model to determine the moisture content of the powders produced during paste drying in a spouted bed and describe the highly coupled heat and the mass transfer.The model was derived from overall energy and mass balances with effective drying kinetics given by a neural network.Simulations were performed in MatLab and drying experiments for model verification were carried out for different pastes in a conical semi-pilot scale spouted bed.

关键词： Neural Network Pastes CST Model Drying Moisture

作者: B.S.Nascimento B.S.Nascimento J.T.Freire

作者单位: Drying Center of Pastes,Suspensions and Seeds,Chemical Engineering Department Federal University of S(a)o Carlos P.O.B.676,S(a)o Carlos/SP,13565-905,Brazil

会议类型: 国际会议

会议名称: The 18th International Drying Symposium Conference(第十八届国际干燥学术大会(IDS2012))

会议地点: 厦门

会议语种:英文

页码: 1-7

在线出版日期: 2012-01-11（万方平台首次上网日期，不代表论文的发表时间）