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Monte Carlo Simulation of Nanoparticle Coagulation in a Turbulent Planar Impinging Jet Flow

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Advanced Manufacturing and Automation IX (IWAMA 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 634))

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Abstract

A Monte Carlo method coupled with large eddy simulation is employed to study nanoparticle evolution in a confined impinging jet. The transient and discrete particle distributions and the time-averaged particle number density distributions can be obtained. The results show that the coherent structure evolution has large effect on the particle dispersion pattern and the particle diameter distributions.

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Acknowledgements

The work is supported by the Sinopec Corp. major research project (Grant No. 417002-2). The research work is based on the MC method developed by H.M. Liu during her PhD study at the Department of Mechanical Engineering in the Hong Kong Polytechnic University.

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Authors and Affiliations

  1. School of Mechanical Engineering, Changzhou University, Changzhou, China

    Hongmei Liu, Weigang Xu, Faqi Zhou, Lin Liu, Jiaming Deng, Shuhao Ban & Xuedong Liu

  2. Key Laboratory of Green Process Equipment in Jiangsu, Changzhou, China

    Hongmei Liu, Weigang Xu, Faqi Zhou, Lin Liu & Xuedong Liu

Authors
  1. Hongmei Liu
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  2. Weigang Xu
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  3. Faqi Zhou
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  4. Lin Liu
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  5. Jiaming Deng
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  6. Shuhao Ban
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  7. Xuedong Liu
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Corresponding author

Correspondence to Hongmei Liu .

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Editors and Affiliations

  1. School of Business, Plymouth University, Plymouth, UK

    Yi Wang

  2. Department of Manufacturing and Civil Engineering, NTNU, Gjøvik, Norway

    Kristian Martinsen

  3. Shanghai Second Polytechnic University, Shanghai, China

    Tao Yu

  4. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Kesheng Wang

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Liu, H. et al. (2020). Monte Carlo Simulation of Nanoparticle Coagulation in a Turbulent Planar Impinging Jet Flow. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation IX. IWAMA 2019. Lecture Notes in Electrical Engineering, vol 634. Springer, Singapore. https://doi.org/10.1007/978-981-15-2341-0_65

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