Solid-Liquid Two-Phase Flow Image Reconstruction in Microchannel Based on Tikhonov Regularization Method

2013 ◽  
Vol 333-335 ◽  
pp. 1013-1019 ◽  
Author(s):  
Yong Hong Liu ◽  
Na Wang ◽  
Hai Yan Sun ◽  
Wei Chen
Keyword(s):  
Image Reconstruction ◽  
Cross Sections ◽  
Two Phase Flow ◽  
Poor Quality ◽  
Tikhonov Regularization Method ◽  
High Temporal Resolution ◽  
Reconstruction Technique ◽  
Phase Flow ◽  
Two Phase ◽  
Solid Liquid

Electrical resistance tomography (ERT) has been used as an alternative technique to monitor two-phase flow because of its high temporal resolution for monitoring fast transient processes. However the image reconstruction image with ERT in microchannel suffers from poor quality because of the interference of contact resistance. This paper aims at the solid-liquid two phase flow visualization in the cross-sections of a novel microchannel based on the ERT technique. Preliminary experimental results reveal that ERT image reconstruction technique base on Agilent data acquisition system can effectively detect the particle distribution in the microchannel.

scholarly journals Clustering-Based Component Fraction Estimation in Solid–Liquid Two-Phase Flow in Dredging Engineering

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5697
Author(s):  
Chang Sun ◽  
Shihong Yue ◽  
Qi Li ◽  
Huaxiang Wang
Keyword(s):  
Clustering Algorithm ◽  
Two Phase Flow ◽  
Low Cost ◽  
Fast Response ◽  
New Method ◽  
Phase Flow ◽  
Reference Distribution ◽  
Two Phase ◽  
Long Time ◽  
Solid Liquid

Component fraction (CF) is one of the most important parameters in multiple-phase flow. Due to the complexity of the solid–liquid two-phase flow, the CF estimation remains unsolved both in scientific research and industrial application for a long time. Electrical resistance tomography (ERT) is an advanced type of conductivity detection technique due to its low-cost, fast-response, non-invasive, and non-radiation characteristics. However, when the existing ERT method is used to measure the CF value in solid–liquid two-phase flow in dredging engineering, there are at least three problems: (1) the dependence of reference distribution whose CF value is zero; (2) the size of the detected objects may be too small to be found by ERT; and (3) there is no efficient way to estimate the effect of artifacts in ERT. In this paper, we proposed a method based on the clustering technique, where a fast-fuzzy clustering algorithm is used to partition the ERT image to three clusters that respond to liquid, solid phases, and their mixtures and artifacts, respectively. The clustering algorithm does not need any reference distribution in the CF estimation. In the case of small solid objects or artifacts, the CF value remains effectively computed by prior information. To validate the new method, a group of typical CF estimations in dredging engineering were implemented. Results show that the new method can effectively overcome the limitations of the existing method, and can provide a practical and more accurate way for CF estimation.

scholarly journals Flow Structures in Vertical Solid-liquid Two-phase Flow under Microgravity Environment

2007 ◽  
Vol 27 (Supplement1) ◽  
pp. 109-110
Author(s):  
Junichi UEMATSU ◽  
Kazuya ABE ◽  
Xiaoran YU ◽  
Tatsuya HAZUKU ◽  
Masaki OSHIMA ◽  
...  
Keyword(s):  
Two Phase Flow ◽  
Microgravity Environment ◽  
Flow Structures ◽  
Phase Flow ◽  
Two Phase ◽  
Solid Liquid

scholarly journals Mass transfer between particles and liquid in solid-liquid two-phase flow through horizontal tubes.

1982 ◽  
Vol 15 (4) ◽  
pp. 311-313 ◽  
Author(s):  
HIROYASU OHASHI ◽  
TAKUO SUGAWARA ◽  
KEN-ICHI KIKUCHI ◽  
MORITO TAKEDA
Keyword(s):  
Mass Transfer ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Horizontal Tubes ◽  
Flow Through ◽  
Solid Liquid
Sign in / Sign up

Export Citation Format

Share Document