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Mass transfer mechanism of multiphase shear flows and interphase optimization solving method

Author

Listed:
  • Wu, Jiafeng
  • Li, Lin
  • Yin, Zichao
  • Li, Zhe
  • Wang, Tong
  • Tan, Yunfeng
  • Tan, Dapeng

Abstract

Slurry mixing is a key process in the production of lithium-ion batteries. The interphase mass transfer and refinement problems involved in the shear mixing process have important engineering significance and research value. In this study, a CFD-DEM numerical simulation method is constructed for high shear flow, which based on the internal frictional momentum transfer mechanism and liquid-solid traction. The reliability of the proposed model was verified by single particle settling and particle cluster entry cases, and the computational results showed that the proposed model was in good agreement with the analytical results and literature. High Shear Mixer (HSM) as a typical multiphase shear equipment. We apply the developed multiphase shear flow model to study the effect of its operating conditions on the mixing and mass transfer performance. The results show that the appropriate rotation speed can effectively reduce the local accumulation of solid-phase particles, but the width of the inner shear zone is not related to the stator rotation speed; the shear jet forms a local circulation in the stator gap and reduces the through-flow capacity; the shearing effect of the inner shear zone is obvious for the declustering of large particle clusters, and the particle collision plays a certain role in the early stage of declustering. The CFD-DEM model developed in this paper improves the accuracy of interphase trajectory capture and provides a reliable numerical simulation method for the study of multiphase shear flow.

Suggested Citation

  • Wu, Jiafeng & Li, Lin & Yin, Zichao & Li, Zhe & Wang, Tong & Tan, Yunfeng & Tan, Dapeng, 2024. "Mass transfer mechanism of multiphase shear flows and interphase optimization solving method," Energy, Elsevier, vol. 292(C).
    • Handle: RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002469
    DOI: 10.1016/j.energy.2024.130475
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    References listed on IDEAS

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    1. Li, Lin & Gu, Zeheng & Xu, Weixin & Tan, Yunfeng & Fan, Xinghua & Tan, Dapeng, 2023. "Mixing mass transfer mechanism and dynamic control of gas-liquid-solid multiphase flow based on VOF-DEM coupling," Energy, Elsevier, vol. 272(C).
    2. Yang, Fangfang & Song, Xiangbao & Dong, Guangzhong & Tsui, Kwok-Leung, 2019. "A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries," Energy, Elsevier, vol. 171(C), pages 1173-1182.
    3. Shahjalal, Mohammad & Roy, Probir Kumar & Shams, Tamanna & Fly, Ashley & Chowdhury, Jahedul Islam & Ahmed, Md. Rishad & Liu, Kailong, 2022. "A review on second-life of Li-ion batteries: prospects, challenges, and issues," Energy, Elsevier, vol. 241(C).
    4. Zhang, Nan & Lu, Yiji & Ouderji, Zahra Hajabdollahi & Yu, Zhibin, 2023. "Review of heat pump integrated energy systems for future zero-emission vehicles," Energy, Elsevier, vol. 273(C).
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    1. Sun, Zhe & Yao, Qiwei & Jin, Huaqiang & Xu, Yingjie & Hang, Wei & Chen, Hongyu & Li, Kang & Shi, Ling & Gu, Jiangping & Zhang, Qinjian & Shen, Xi, 2024. "A novel in-situ sensor calibration method for building thermal systems based on virtual samples and autoencoder," Energy, Elsevier, vol. 297(C).
    2. Li, Lin & Li, Qihan & Ni, Yesha & Wang, Chengyan & Tan, Yunfeng & Tan, Dapeng, 2024. "Critical penetrating vibration evolution behaviors of the gas-liquid coupled vortex flow," Energy, Elsevier, vol. 292(C).

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