Simulation of mixing of alkaline hydrogen peroxide under heterogeneous conditions

MIN Weijing; ZHANG Xinyuan; WANG Han; ZHU Chunying; MA Youguang; FU Taotao

doi:10.11949/0438-1157.20260901

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Simulation of mixing of alkaline hydrogen peroxide under heterogeneous conditions

更新时间：2026-08-14

- Simulation of mixing of alkaline hydrogen peroxide under heterogeneous conditions
- CIESC Journal (2026)
- 作者机构：
  
  天津大学化工学院，化学工程与低碳技术全国重点实验室，天津 300354
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20260901
  CLC： TQ 028.8
- Received：30 June 2026，
  
  Revised：2026-08-07，
  
  Accepted：14 August 2026，
- 稿件说明：
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MIN Weijing, ZHANG Xinyuan, WANG Han, et al. Simulation of mixing of alkaline hydrogen peroxide under heterogeneous conditions[J/OL]. CIESC Journal, 2026.
DOI：

MIN Weijing, ZHANG Xinyuan, WANG Han, et al. Simulation of mixing of alkaline hydrogen peroxide under heterogeneous conditions[J/OL]. CIESC Journal, 2026. DOI： 10.11949/0438-1157.20260901.

摘要

碱性过氧化氢（AHP）是液-液非均相有机过氧化反应的关键氧化介质。在连续流配制AHP过程中，水相内H

与NaOH的混合速度及混合均匀性直接影响体系安全性与反应效率。采用计算流体力学方法（CFD）对十字型混合器内液-液体系下AHP连续制备过程进行模拟，分析流型、操作条件及管径放大对混合效率的影响，并构建混合预测模型。结果表明，射流下混合效率最高，环状流次之，段塞流最低；增大总流速与水相比、减小管径均有利于混合强化，而入口浓度影响较弱。建立的混合预测模型误差控制在±25%以内；引入SK内构件后，混合时间缩短至1 s内。

Abstract

Alkaline hydrogen peroxide (AHP) serves as an important oxidant in liquid-liquid heterogeneous organic peroxidation reactions. During the continuous-flow formulation of AHP

the mixing rate and mixing uniformity of H

and NaOH in the aqueous phase directly affects both safety and reaction efficiency. Computational fluid dynamics (CFD) was used to investigate the continuous preparation of AHP inside a cross-shaped mixer. The effects of flow regime

operating conditions

and channel scale-up o

n mixing performance were examined. According to the simulation results

jet flow yields the best mixing effect

followed by annular flow and slug flow. An increase in total flow velocity or aqueous phase ratio

or a decrease in channel diameter

can notably enhance mixing

whereas the initial concentration shows a relatively small influence. A predictive correlation for mixing time was established

with prediction errors within ±25%. Furthermore

the incorporation of a Kenics static mixer (SK) reduces the mixing time to less than 1 s.

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