多孔生物燃料混合物干燥的实验和理论研究

IF 2.5 4区 工程技术 Q2 ENGINEERING, MECHANICAL Journal of Porous Media Pub Date : 2024-04-01 DOI:10.1615/jpormedia.2024052250
Yury Snezhkin, Andrii Avramenko, Zhanna Petrova, Andrii Tyrinov, Anton Petrov, Yuliia Novikova
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引用次数: 0

摘要

本文介绍了基于泥炭提取后的固体残渣和玉米秸秆的生物燃料多孔混合物的干燥动力学研究。实验是在对流干燥架上进行的。实验确定了温度对干燥持续时间的影响。随着温度的升高,干燥过程加剧。确定了生物燃料多孔混合物的有效干燥模式。所获得的数值结果与我们自己的实验数据进行了比较,结果显示两者完全吻合。结果表明,所选模型可以对多孔介质脱水进行足够精确的数值计算。
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EXPERIMENTAL AND THEORETICAL STUDY OF DRYING OF POROUS BIOFUEL MIXTURE
The paper presents a study of the drying kinetics of a porous mixture of biofuel based on the solid residue of peat after extraction and corn stalks. Experiments were performed on a convective drying stand. The effect of temperature on the duration of drying was determined. As the temperature rises, the drying process intensifies. Effective modes of drying the porous mixture of biofuel have been determined. The most adequate model was chosen for numerical simulation. A comparison of the obtained numerical results with our own experimental data showed a sufficient coincidence. The difference does not exceed 3% in temperature and 4% in humidity. The obtained results indicate that the selected model allows numerical calculations of the dehydration of porous media with sufficient accuracy.
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来源期刊
Journal of Porous Media
Journal of Porous Media 工程技术-工程:机械
CiteScore
3.50
自引率
8.70%
发文量
89
审稿时长
12.5 months
期刊介绍: The Journal of Porous Media publishes original full-length research articles (and technical notes) in a wide variety of areas related to porous media studies, such as mathematical modeling, numerical and experimental techniques, industrial and environmental heat and mass transfer, conduction, convection, radiation, particle transport and capillary effects, reactive flows, deformable porous media, biomedical applications, and mechanics of the porous substrate. Emphasis will be given to manuscripts that present novel findings pertinent to these areas. The journal will also consider publication of state-of-the-art reviews. Manuscripts applying known methods to previously solved problems or providing results in the absence of scientific motivation or application will not be accepted. Submitted articles should contribute to the understanding of specific scientific problems or to solution techniques that are useful in applications. Papers that link theory with computational practice to provide insight into the processes are welcome.
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