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Drying characteristics of yam slices (Dioscorea rotundata) in a convective hot air dryer: application of ANFIS in the prediction of drying kinetics

机译:对流热风干燥机中山药片(Dioscorea rotundata)的干燥特性:ANFIS在预测干燥动力学中的应用

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摘要

This study applied Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the moisture ratio (MR) during the drying process of yam slices ( ) in a hot air convective dryer. Also the effective diffusivity, activation energy, and rehydration ratio were calculated. The experiments were carried out at three (3) drying air temperatures (50, 60, and 70 °C), air velocities (0.5, 1, and 1.5 m/s), and slice thickness (3, 6, and 9 mm), and the obtained experimental data were used to check the usefulness of ANFIS in the yam drying process. The result showed efficient applicability of ANFIS in predicting the MR at any time of the drying process with a correlation value (R ) of 0.98226 and root mean square error value (RMSE) of 0.01702 for the testing stage. The effective diffusivity increased with an increase in air velocity, air temperature, and thickness and the values (6.382E -09 to 1.641E -07 m /s). The activation energy increased with an increase in air velocity, but fluctuate within the air temperatures and thickness used (10.59–54.93 KJ/mol). Rehydration ratio was highest at air velocity×air temperature×thickness (1.5 m/s×70 °C × 3 mm), and lowest at air velocity × air temperature×thickness (0.5 m/s×70 °C × 3 mm). The result showed that the drying kinetics of existed in the falling rate period. The drying time decreased with increased temperature, air velocity, and decreased slice thickness. These established results are applicable in process and equipment design, analysis and prediction of hot air convective drying of yam ( ) slices.
机译:这项研究应用自适应神经模糊推理系统(ANFIS)来预测在热空气对流干燥机中山药片()干燥过程中的水分比(MR)。还计算了有效扩散率,活化能和水合比。实验在三(3)个干燥空气温度(50、60和70°C),空气速度(0.5、1和1.5 m / s)和切片厚度(3、6和9 mm)下进行,并将获得的实验数据用于检验ANFIS在山药干燥过程中的有效性。结果表明,在测试过程中,ANFIS在预测干燥过程中任何时间的MR上均有效,相关值(R)为0.98226,测试阶段的均方根误差值为(RMSE)为0.01702。有效扩散系数随风速,空气温度和厚度以及其值(6.382E -09至1.641E -07 m / s)的增加而增加。活化能随空气速度的增加而增加,但在所用的空气温度和厚度范围内会波动(10.59–54.93 KJ / mol)。水合比在风速×空气温度×厚度(1.5 m / s×70°C×3 mm)时最高,在风速×空气温度×厚度(0.5 m / s×70°C×3 mm)时最低。结果表明,降速期间存在干燥动力学。干燥时间随着温度,空气速度和切片厚度的减少而减少。这些确定的结果适用于纱线切片热空气对流干燥的过程和设备设计,分析和预测。

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