Biography:

Lijuan Wang (M’14) received her BEng degree in Computer Science and Technology from Qiqihar University, Heilongjiang, China in 2010 and her PhD degree in Measurement and Automation from North China Electric Power University (NCEPU), Beijing, China in 2014. She subsequently obtained a second PhD degree in Electronic Engineering from the University of Kent, Canterbury, UK in 2017. After that she worked at the University of Teesside as a Lecturer in Instrumentation and Control Engineering. Since June 2018 she has been a Lecturer in Electronic Engineering at the University of Kent.

She was awarded the Postgraduate National Scholarship in 2014 and Excellent PhD Thesis in 2015 by NCEPU, the Best Student Poster in 2014 I2MTC (International Instrumentation and Measurement Technology Conference), IEEE Graduate Fellowship by IEEE Instrumentation and Measurement Society in 2015 and Best Presentation Award in 2015 ISMTMF (International Symposium on Measurement Techniques for Multiphase Flows).

Her research interests include multiphase flow measurement, electrostatic sensing, condition monitoring of mechanical systems, sensors and instrumentation systems, data analysis and soft computing.

Abstract: 

Multiphase flow is widely seen in many industrial processes, such as oil and gas fields, chemical engineering, food processing and CCS (Carbon Capture and Storage) chain. Although a range of techniques have been proposed and developed over the past three decades, accurate and online measurement of the flowrate of the mixture is still challenging in industries. This presentation will cover the industrial background, state-of-the-art of multiphase flowmeters, trend and future developments of multiphase flow metering through soft computing and our latest research results. An advanced multiphase flow metering methodology using Coriolis mass flowmeters and soft computing techniques will be introduced. The corresponding experimental results of air-water, air-oil and gas-liquid CO2 multiphase flows will be presented.