ABSTRACT

The aim of the present study is to investigate the experimental performance of a solar dryer by using a novel type of a drying chamber for increasing the drying performance and ensuring homogeneous drying. The drying system (SDS) consisted of a new type of a drying chamber and a solar air collector, which were designed, made, and tested in Osmaniye, Turkey. The analyses of Computational Fluid Dynamics were carried out to demonstrate the advantage of the designed drying chamber over the tunnel type drying chamber, which is commonly used in peanut drying. The drying experiments were conducted using in-shell peanut to observe the performance of the system. The drying procedure was performed in the form of open sun drying (OSD), and the results of drying kinetics such as moisture ratio (MR), drying rate (DR), and heat transfer coefficient (h_c) obtained from both drying methods were compared. The MR and DR values obtained during the drying experiments were estimated using different models such as mathematical, multiple linear regression (MLR), decision tree (DT), and the support vector machine (SVM). It was observed from the numerical results that the products can dry more homogenously and effectively with the newly designed drying chamber compared to the conventional tunnel type drying chamber. The results of the drying experiments showed that the products dried earlier and more regularly through the SDS compared to the OSD. The DR and h_c values were found 0.0051E-01 (g_w/g_dm)/min and 1.5727 W/m²°C for SDS and 0.0039E-01 (g_w/g_dm)/min and 1.4664 W/m²°C for OSD, respectively. The models that best estimated the experimentally obtained MR and DR values for peanuts dried with the SDS proved to be the Random Tree Model (R² = 0.9972) and Quintic Model (R² = 0.8551), respectively.

摘要

本研究的目的是通过使用新型干燥室来提高干燥性能并确保均匀干燥来研究太阳能干燥器的实验性能。干燥系统（SDS）由新型干燥室和太阳能集气器组成，在土耳其奥斯曼尼耶设计、制造和测试。进行了计算流体动力学分析，以证明设计的干燥室相对于花生干燥中常用的隧道式干燥室的优势。使用带壳花生进行干燥实验以观察系统的性能。干燥程序以露天晒干 (OSD) 的形式进行，干燥动力学的结果如水分比 (MR)、干燥速率 (DR) 和传热系数 (h_c ) 比较了从两种干燥方法中获得的结果。在干燥实验过程中获得的 MR 和 DR 值使用不同的模型进行估计，例如数学、多元线性回归 (MLR)、决策树 (DT) 和支持向量机 (SVM)。从数值结果可以看出，与传统的隧道式干燥室相比，新设计的干燥室可以使产品干燥更均匀、更有效。干燥实验的结果表明，与 OSD 相比，通过 SDS 干燥的产品更早、更规律。发现DR 和 h _c值为 0.0051E-01 (g _w /g _dm )/min 和 1.5727 W/m ² °C 对于 SDS 和 0.0039E-01 (g _w /g _dm )_dm )/min 和OSD 分别为1.4664 W/m ² °C。最好地估计实验获得的用 SDS 干燥的花生的 MR 和 DR 值的模型分别是随机树模型 (R ²  = 0.9972) 和 Quintic 模型 (R ²  = 0.8551)。