Abstract—

This study is aimed to find the quality and appropriate thin layer mathematical model suitable for drying kinetics of turmeric which has the least impact of weather conditions. A user-friendly indirect natural convection solar dryer (INCSD) working on compound parabolic concentrator (CPC) was developed and fabricated for this purpose. It is observed that there is a dominant impact of the environmental conditions on the efficiency of solar drying. Adverse weather conditions hinder the collection of solar radiation. It was observed that the moisture content reduces from 77 to 18% in the solar dryer in 24 h as compared to open sun-drying, which requires 40 h. Six thin layer mathematical models reported in the literature have been tried for INCSD and open sun-drying. Thin layer mathematical modeling at different temperatures is presented with quality analysis. Maximum curcumin percentage 3.73% in the turmeric is found at 55°C drying air temperature. Minimum ash content is found to be 6.5% at 60°C. Experimental results reveal that the page model fits best for INCSD as well as for open sun-drying (OSD).

中文翻译：

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太阳能热系统对姜黄干燥模型的评价和质量分析

摘要—

这项研究的目的是找到适用于姜黄干燥动力学且质量对天气条件影响最小的优质薄层数学模型。为此，开发并制造了一种用户友好型间接自然对流太阳能干燥机（INCSD），它在复合抛物面聚光器（CPC）上工作。可以看出，环境条件对太阳能干燥效率有显着影响。不利的天气条件阻碍了太阳辐射的收集。观察到，与需要40小时的露天晒干相比，太阳能干燥器在24小时内的水分含量从77％降至18％。文献中报道的六个薄层数学模型已经尝试用于INCSD和露天晒干。通过质量分析介绍了在不同温度下的薄层数学建模。在55°C的干燥空气温度下，姜黄中的最大姜黄素百分比为3.73％。发现在60℃下最小灰分含量为6.5％。实验结果表明，页面模型最适合INCSD和开放式晒干（OSD）。