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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Yongchen Song

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:能源与动力学院
Discipline:Energy and Environmental Engineering
Business Address:能动大楼810
Contact Information:songyc@dlut.edu.cn
E-Mail:songyc@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

Noninvasive temperature and velocity mapping using magnetic resonance imaging

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Indexed by:期刊论文

Date of Publication:2016-08-01

Journal:JOURNAL OF VISUALIZATION

Included Journals:SCIE、Scopus

Volume:19

Issue:3

Page Number:403-415

ISSN No.:1343-8875

Key Words:CO2 capture and storage; MRI; Temperature measurement; Velocity measurement; Inversion recovery tagging method

Abstract:Accurate temperature and velocity measurement of fluid is of vital importance for CO2 Capture and Storage (CCS). The aims of this study were to evaluate the application of several magnetic resonance imaging (MRI) temperature measurement techniques in CCS and to simultaneously measure velocity and temperature distribution for flow field. First, the relations between MRI parameters including apparent self-diffusion coefficient (D), longitudinal relaxation time (T (1)), longitudinal equilibrium magnetization (M (0)) and temperature for three different samples were investigated. The results show that in high magnetic strength field the linear relationship between D and temperature is better than M (0)-T and T (1)-T in terms of accuracy and sensitivity. Then we used inversion recovery tagging method to simultaneously measure temperature and velocity of water flowing through a heated vessel. Temperature measured by IR-tagging method is within a deviation of 2 A degrees C from the numerical results obtained by computational fluid dynamics.