Identification of flooding-loading transition in stirred vessel based on acoustic method

WANG Yunxing; WANG Bing; REN Congjing; WANG Jingdai; YANG Yongrong

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Identification of flooding-loading transition in stirred vessel based on acoustic method

更新时间：2025-12-10

- Identification of flooding-loading transition in stirred vessel based on acoustic method
- CIESC Journal Issue 5, Pages: 1148-1155(2009)
- 作者机构：
  
  化学工程联合国家重点实验室，浙江大学化学工程与生物工程学系
- 作者简介：
- 基金信息：
- DOI：
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- Online First：05 May 2009，
  
  Published：05 May 2009
- 稿件说明：
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WANG Yunxing, WANG Bing, REN Congjing, et al. Identification of flooding-loading transition in stirred vessel based on acoustic method[J]. CIESC Journal, 2009, (5): 1148-1155.
DOI：

WANG Yunxing, WANG Bing, REN Congjing, et al. Identification of flooding-loading transition in stirred vessel based on acoustic method[J]. CIESC Journal, 2009, (5): 1148-1155. DOI：

摘要

通过对采集的搅拌釜中声信号的频谱分析、小波分解和R/S分析，获得了代表气液体系运动的特征信号频段（d4、d5、d6频段），针对声波特征信号频段能量随搅拌转速的规律性变化，提出了搅拌釜泛点转速的声波测量判据，即声能量分率快速增加并开始趋于稳定时所对应的搅拌转速为泛点转速。以空气-水体系为例，考察了不同通气量和静液位高度下的泛点转速，发现泛点转速随通气量的增加而增加，随静液位高度的增加而减小。与目测法相比，声波法测量值的平均相对误差为2.62%，优于传统的功耗法。由此获得了一种快速、准确、安全的搅拌釜反应器泛点转速测量技术，具有良好的工业应用前景。

Abstract

The characteristic scale (G1) of acoustic emission (AE) signals that represent the interactions between bubbles and liquid phase in a stirred tank was obtained by using AE measurement based on wavelet transform and R/S analysis.Since the energy fraction of AE signals in G1 scale change regularly with the impeller speed

a criterion to determine the flooding-loading flow regime transition is presented.When the AE energy fraction in the characteristic frequency scales increased rapidly and began to remain constant

the corresponding impeller speed was the minimum speed to prevent flooding(Nf).Furthermore

the influences of aeration rate and total liquid depth on the criterion were investigated by air-water experiments.It was found that Nf increased with increasing aeration rate but decreased with increasing total liquid depth.By comparing experimental results from AE measurement with those from visual observation

the average relative errors of AE method were no more than 2.62%

better than the power consumption method.Finally

it is concluded that multi-scale analysis of acoustic signals is feasible for determining the flooding-loading flow regime transition and is sensitive

non-intrusive and accurate.

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