您当前的位置:
首页 >
文章列表页 >
Performance evaluation of the online droplet size measurement structure for tubular atomization mixers
更新时间:2026-04-29
    • Performance evaluation of the online droplet size measurement structure for tubular atomization mixers

    • CIESC Journal   Pages: 1-11(2026)
    • DOI:10.11949/0438-1157.20251413    

      CLC: TQ 051.7
    • Received:15 December 2025

      Revised:2026-04-23

      Online First:29 April 2026

    移动端阅览

  • KONG Lingzhen, YANG Yang, CHEN Jiaqing, SUN Huan, XIE Tong, ZHANG Chengkai, JIANG Yingming. Performance evaluation of the online droplet size measurement structure for tubular atomization mixers[J]. CIESC Journal, DOI: 10.11949/0438-1157.20251413

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A states-of-the-art review on research progresses and prospects of liquid-liquid extraction columns
In situ measurement of crystallization temperature and particle size distribution during crystallization of sodium acetate
Particle size characterization based on ultrasonic impedance spectrum
Particle size distribution measurement based on ultrasonic attenuation and phase velocity spectra
Particle size distribution measurement of large spray by imaging

Related Author

Jiyizhe ZHANG
Yundong WANG
Weiyang FEI
Nan JIA
Chang TIAN
Mingxu SU
JI Xiaoming
SU Mingxu

Related Institution

State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University
Key Laboratory of Shanghai for Power Engineering Multi-phase and Heat Transfer, University of Shanghai for Science and Technology
Institute of Particle and Two-phase Flow Measurement, Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, University of Shanghai for Science and Technology
Institute of Particle and Two-phase Flow Measurement, University of Shanghai for Science and Technology
Institute of Particle & Two-phase Flow Measurement, University of Shanghai for Science and Technology
0