以微波干燥谷物为基础,开展了在谷物微波干燥前使用超声波预处理强化干燥效果的实验。分别从超声强度、预处理时间和不同装载质量方面进行研究,并进行SPSS相关性分析研究。实验表明:将超声波功率提高到90%,与未经超声预处理的谷物相比,...以微波干燥谷物为基础,开展了在谷物微波干燥前使用超声波预处理强化干燥效果的实验。分别从超声强度、预处理时间和不同装载质量方面进行研究,并进行SPSS相关性分析研究。实验表明:将超声波功率提高到90%,与未经超声预处理的谷物相比,到达安全水分含量所需时间减少约27%,而10 min的预处理时间在经济性和能耗方面更合理,且超声波预处理对微波干燥效率的提高不会因更高的装载质量而明显减弱。SPSS相关性分析研究表明:有/无超声波预处理的谷物含水率变化存在显著差异,不同预处理时间之间的含水率变化也存在显著差异,但更高装载质量之间的谷物含水量变化不存在显著性差异。通过对谷物干燥模型拟合发现:Henderson and Pebis模型拟合度较高(R2>0.97),可以有效描述超声波预处理下谷物微波干燥过程中水分随时间变化的规律。展开更多
This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics...This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics(CFD),empirical,and performance under different control strategies.Within the theoretical and CFD categories,the models are further classified as transient and steady state,as well as one-dimensional,two-dimensional,and three-dimensional.The empirical approach involves conducting experimental studies to collect moisture ratio data during the drying process and comparing it with empirical models.The methods of control are divided into classical and advanced controllers,with classical controllers including proportional-integral(PI),proportional-integral-derivative(PID),and quantitative feedback theory(QFT)controllers.Advanced controllers consist of artificial intelligence-based controllers,such as artificial neural networks(ANN),adaptive neuro-fuzzy inference systems(ANFIS),nonlinear autoregressive exogenous(NARX)models,model predictive control(MPC),and soft sensors.This review elucidated the methodologies and software employed for each modeling technique,as well as their prospective utility in industrial contexts.The utilization of theoretical and CFD methodologies is advantageous in forecasting the dynamics of complex systems.Conversely,empirical techniques serve the purpose of validating theoretical models and procuring data to facilitate model refinement.Controllers play a crucial role in the optimization of the drying process and the attainment of desired outputs.展开更多
文摘以微波干燥谷物为基础,开展了在谷物微波干燥前使用超声波预处理强化干燥效果的实验。分别从超声强度、预处理时间和不同装载质量方面进行研究,并进行SPSS相关性分析研究。实验表明:将超声波功率提高到90%,与未经超声预处理的谷物相比,到达安全水分含量所需时间减少约27%,而10 min的预处理时间在经济性和能耗方面更合理,且超声波预处理对微波干燥效率的提高不会因更高的装载质量而明显减弱。SPSS相关性分析研究表明:有/无超声波预处理的谷物含水率变化存在显著差异,不同预处理时间之间的含水率变化也存在显著差异,但更高装载质量之间的谷物含水量变化不存在显著性差异。通过对谷物干燥模型拟合发现:Henderson and Pebis模型拟合度较高(R2>0.97),可以有效描述超声波预处理下谷物微波干燥过程中水分随时间变化的规律。
基金supported by the AmericanUniversity in Cairo,Egypt.
文摘This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics(CFD),empirical,and performance under different control strategies.Within the theoretical and CFD categories,the models are further classified as transient and steady state,as well as one-dimensional,two-dimensional,and three-dimensional.The empirical approach involves conducting experimental studies to collect moisture ratio data during the drying process and comparing it with empirical models.The methods of control are divided into classical and advanced controllers,with classical controllers including proportional-integral(PI),proportional-integral-derivative(PID),and quantitative feedback theory(QFT)controllers.Advanced controllers consist of artificial intelligence-based controllers,such as artificial neural networks(ANN),adaptive neuro-fuzzy inference systems(ANFIS),nonlinear autoregressive exogenous(NARX)models,model predictive control(MPC),and soft sensors.This review elucidated the methodologies and software employed for each modeling technique,as well as their prospective utility in industrial contexts.The utilization of theoretical and CFD methodologies is advantageous in forecasting the dynamics of complex systems.Conversely,empirical techniques serve the purpose of validating theoretical models and procuring data to facilitate model refinement.Controllers play a crucial role in the optimization of the drying process and the attainment of desired outputs.
