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Numerical Simulation on Gas Flow Distribution in ESP for Convertor Gas Purification

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Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 454))

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Abstract

It is necessary to purify the convertor gas when it is recycled in gas tank. The electrostatic precipitator is widely used for convertor gas dedusting because of its high efficiency and low pressure loss. However, the collection efficiency of electrostatic precipitator is affected by the gas flow distribution uniformity of the inlet and outlet. Based on the computational fluid dynamic (CFD) method, numerical calculation for gas flow distribution is carried out by using the k-\(\epsilon \) two equation turbulence model and SIMPLE (Semi-Implicit Method for Pressure Linked Equations) algorithm. The results show that the optimal opening ratio of gas flow distribution plate is less than 30 \(\%\). The position of inlet gas flow distribution plate has great influence on the gas flow uniformity. Compared with the gas flow field difference between columnar electrostatic precipitator and rectangular one, the columnar electrostatic precipitator has the advantages of high collection efficiency and structure strength. The gas flow distribution uniformity in columnar electrostatic precipitator is also superior to the rectangular one.

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Acknowledgments

This research was supported by the Natural Science Foundation of Hebei province, China (E2015203236).

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Correspondence to Lichun Xiao .

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Xiao, L., Ding, Z., Yang, X., Liu, X., Yang, J. (2017). Numerical Simulation on Gas Flow Distribution in ESP for Convertor Gas Purification. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_47

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  • DOI: https://doi.org/10.1007/978-3-319-38789-5_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38787-1

  • Online ISBN: 978-3-319-38789-5

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