流态化
流化床
敲击
标准差
经销商
机械
材料科学
偏斜
数学
工程类
废物管理
流量(数学)
机械工程
物理
统计
作者
Shanzhong Zhao,Zengqiang Chen,Yadong Zhang,Xuan Xu,Zhiguo Liu,Enhui Zhou,Duan Chen
标识
DOI:10.1080/19392699.2023.2249872
摘要
ABSTRACTA trapezoidal gas-solid fluidized bed separation system was designed to improve the separation space and processing capability of the gas-solid separation fluidized bed by combining inclined air distribution plates with horizontal air distribution plates. The distribution pattern of bed density was investigated under different operational conditions. The results showed that the operational conditions significantly influenced the standard deviation of bed density fluctuation and the skewness of bed density. When the fluidization number of the horizontal section and inclined section are 1.4 and 1.2 respectively, the aperture of the distributor plate is 6–2 mm, and the static bed height is 150 mm, the minimum standard deviation of bed density fluctuation (Sρ) is 0.07 g/cm3, and the skewness of density fluctuation (SKρ) was less than 0, indicating good fluidization quality of the bed under these conditions. Experimental separation tests of 13 ~ 6 mm raw coal were conducted in both the horizontal section of the bed and the overall trapezoidal fluidized bed, and the results showed that under the operational conditions with the best stability of bed density, ash separation was most prominent, with a possible minimum deviation (E) value of 0.120 g/cm3. Furthermore, under the same operational conditions, the maximum processing capacity of the horizontal bed section was 300 g, while the trapezoidal gas-solid fluidized bed with inclined air distribution plates could achieve a maximum processing capacity of 400 g, indicating that the trapezoidal gas-solid fluidized bed effectively expanded the separation space.KEYWORDS: Trapezoidal fluidized bedinclined distributorseparation performancebed densityprocessing capacity AcknowledgementsThis work was supported by the National Natural Science Foundation of China (No. 51974306, No. 51774283); Funded by the China Postdoctoral Science Foundation (2021M703505) and the Basic scientific research business expense project of the University - Youth Science and Technology Fund (2022QN1070).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the China Postdoctoral Science Foundation [2021M703505]; National Natural Science Foundation of China [51974306,51774283]; Basic scientific research business expense project of the University-Youth Science and Technology Fund [2022QN1070]; Basic scientific research business expense project of the University - Youth Science and Technology Fund [2022QN1070]; Inner Mongolia Science and Technology Key Special Project [2021EEDSCXSFQZD007]; Funded by the China Postdoctoral Science Foundation [2021M703505]; Inner Mongolia Science and Technology Key Special Project [2021EEDSCXSFQZD007]; National Key R&D Program of China [2022YFC2905900]; National Key R&D Program of China [2022YFC2905900]; Postdoctoral Research Foundation of China [2021M703505].
科研通智能强力驱动
Strongly Powered by AbleSci AI