Application of experimental, numerical, and machine learning methods to improve drying performance and decrease energy consumption of tunnel-type food dryer

IF 2.7 3区工程技术 Q3 ENGINEERING, CHEMICAL Drying Technology Pub Date : 2023-06-08 DOI:10.1080/07373937.2023.2216781

Murat Catalkaya, O. Akay, M. Das, E. Akpinar

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Abstract

Abstract In this study, to distribute the drying air uniformly on the product surface, straight and trapeze air barriers were designed in the drying chamber of the existing tunnel dryer. The effects of air barriers on product surface temperature changes were investigated by computational fluid dynamics analysis (CFD). Drying time in the experiment without an air barrier decreased by 45% with the trapeze barrier and 20% with the straight barrier. Likewise, the trapeze barrier provided 53.9% energy savings, and the straight barrier 37.4% energy saving compared to the drying process carried out in the current system. Also, using the experimental data, mathematical equations that can calculate activation energy (Ea) in the drying process were produced with the help of regression-based artificial intelligence methods (Pace and Elastic.Net). With the help of these equations, the Ea values of the drying process performed under different experimental conditions were determined, and a 1.03% error value was calculated between the obtained Ea values and the experimental values.

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应用实验、数值和机器学习方法提高隧道式食品干燥机的干燥性能和降低能耗

摘要在本研究中，为了使干燥空气均匀地分布在产品表面，在现有的隧道式干燥机的干燥室中设计了直的和梯形的空气屏障。通过计算流体动力学分析（CFD）研究了空气屏障对产品表面温度变化的影响。在没有空气屏障的实验中，梯形屏障的干燥时间减少了45%，直线屏障的干燥速度减少了20%。同样，与在当前系统中进行的干燥过程相比，梯形屏障提供了53.9%的能量节省，而直屏障提供了37.4%的能量节省。此外，利用实验数据，借助基于回归的人工智能方法（Pace和Elastic.Net），建立了可以计算干燥过程中活化能（Ea）的数学方程。借助这些方程，确定了不同实验条件下干燥过程的Ea值，并且在所获得的Ea值和实验值之间计算出1.03%的误差值。

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来源期刊

Drying Technology 工程技术-工程：化工

CiteScore

7.40

自引率

15.20%

发文量

133

审稿时长

2 months

期刊介绍： Drying Technology explores the science and technology, and the engineering aspects of drying, dewatering, and related topics. Articles in this multi-disciplinary journal cover the following themes: -Fundamental and applied aspects of dryers in diverse industrial sectors- Mathematical modeling of drying and dryers- Computer modeling of transport processes in multi-phase systems- Material science aspects of drying- Transport phenomena in porous media- Design, scale-up, control and off-design analysis of dryers- Energy, environmental, safety and techno-economic aspects- Quality parameters in drying operations- Pre- and post-drying operations- Novel drying technologies. This peer-reviewed journal provides an archival reference for scientists, engineers, and technologists in all industrial sectors and academia concerned with any aspect of thermal or nonthermal dehydration and allied operations.