Your Location:
Home >
Browse articles >
Microfluidic field strategy for enhancement and scale up of liquid–liquid homogeneous chemical processes by optimization of 3D spiral baffle structure
Full Length Article | Updated:2026-01-06
    • Microfluidic field strategy for enhancement and scale up of liquid–liquid homogeneous chemical processes by optimization of 3D spiral baffle structure

    • Microfluidic field strategy for enhancement and scale up of liquid–liquid homogeneous chemical processes by optimization of 3D spiral baffle structure

    • 中国化学工程学报(英文版)   2023年56卷第4期 页码:255-265
    • 纸质出版:2023

    Scan QR Code

  • Shuangfei Zhao, Yingying Nie, Wenyan Zhang, 等. Microfluidic field strategy for enhancement and scale up of liquid–liquid homogeneous chemical processes by optimization of 3D spiral baffle structure[J]. 中国化学工程学报(英文版), 2023,56(4):255-265. DOI:

    Shuangfei Zhao, Yingying Nie, Wenyan Zhang, Runze Hu, Lianzhu Sheng, Wei He, Ning Zhu, Yuguang Li, Dong Ji, Kai Guo. Microfluidic field strategy for enhancement and scale up of liquid–liquid homogeneous chemical processes by optimization of 3D spiral baffle structure[J]. Chinese Journal of Chemical Engineering, 2023, 56(4): 255-265. DOI:

  •  
  •  
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

0

浏览量

133

Downloads

0

CSCD

文章被引用时,请邮件提醒。
Submit
工具集
下载
参考文献导出
分享
收藏
添加至我的专辑

相关文章

Dynamic load characteristics and wake vortex structure of spiral finned cylinders in cross-flow
Experimental and numerical studies of Ca(OH)2/CaO dehydration process in a fixed-bed reactor for thermochemical energy storage
CFD Simulation of Propane Cracking Tube Using Detailed Radical Kinetic Mechanism
Experimental and numerical studies of holdup and velocity behavior for inclined bubbly oil-water pipe flows
Optimization of chemical looping hydrogen generation process via Aspen Plus—Machine learning integration

相关作者

Hewei Yang
Bowen Tang
Ye Tian
Wei Tan
Zhihao Zhang
Danyang Song
Hengxing Bao
Xiang Ling

相关机构

School of Chemical Engineering and Technology, Tianjin University
Zhejiang Research Institute, Tianjin University
School of Mechanical and Power Engineering, Nanjing Tech University
Institute of Process Systems Engineering, Tsinghua University
School of Electrical and Information Engineering, Tianjin University
0