WJWeizhou Jiao

Weizhou Jiao

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Weizhou Jiao has a total of 5 co-authors. Here are the top co-authors by number of shared publications:

  • Chao Zhang

    Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, School of Chemical Engineering and technology, North University of China, Taiyuan 030051, China

    1 shared publication
  • Guisheng Qi

    Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, North University of China, Taiyuan 030051, China

    1 shared publication
  • Qiaoling Zhang

    Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, North University of China, Taiyuan 030051, China

    1 shared publication
  • Youzhi Liu

    Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, North University of China, Taiyuan 030051, China

    1 shared publication
  • Zhiguo Yuan

    Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, North University of China, Taiyuan 030051, China

    1 shared publication

Latest Publications

  • Open Access

    CFD Simulation of Dry Pressure Drop in a Cross-Flow Rotating Packed Bed

    by Chao Zhang, Weizhou Jiao, Youzhi Liu, Guisheng Qi, Zhiguo Yuan, Qiaoling Zhang

    The cross-flow rotating packed bed (RPB) has attracted wide attention in recent years because of its advantages of large gas capacity, low pressure drop and lack of flooding limitation. However, the complex structure of the packing makes it difficult to obtain the gas flow characteristics in the cross-flow RPB by experiments. In this study, the dry pressure drop in the cross-flow RPB was investigated by computational fluid dynamics (CFD). The packing was modeled by the porous media model and the rotation of the packing was simulated by the sliding mesh model. The simulation results obtained by three turbulence models were compared with experimental results, and the RNG k-ε model was found to best describe the turbulence behaviors in the cross-flow RPB. Then, the effects of gas flow rate and rotating speed on dry pressure drop in different parts of the cross-flow RPB were analyzed. The results of this study can provide important insights into the design and scale-up of cross-flow RPB.