Mapping temperature fields in 3D with x-ray diffraction and magnetic resonance imaging
Chalise, Darshan
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https://hdl.handle.net/2142/120377
Description
Title
Mapping temperature fields in 3D with x-ray diffraction and magnetic resonance imaging
Author(s)
Chalise, Darshan
Issue Date
2023-04-19
Director of Research (if dissertation) or Advisor (if thesis)
Cahill, David G
Doctoral Committee Chair(s)
Abbamote, Peter
Committee Member(s)
Leal, Cecilia
Sutton, Bradley P
Department of Study
Physics
Discipline
Physics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Thermometry
3D Imaging
MRI
X-ray diffraction
Abstract
While there exist surface-based thermometry techniques that provide spatial resolution in nanoscale and temperature resolution in tens of millikelvins, there is a general lack of thermometry techniques that provide a full field 3-dimensional (3D) temperature information with excellent spatial, temporal and temperature resolution. 3D thermometry is, however, required in several biological and engineering systems. In this thesis, I present techniques to image temperature fields in two important engineering systems - 3D integrated circuits (3D ICs) and electrochemical energy storage devices – and in fluids which are of importance in both engineering and biology. In 3D ICs, I demonstrate how x-ray diffraction intensities can be used to simultaneously map temperature in different device layers. In electrochemical energy storage devices, namely proton exchange membrane (PEM) fuel cells and solid-state Li ion batteries, I discuss how magnetic resonance imaging (MRI) can be used for thermometry of the electrolyte layer and demonstrate the mapping of temperature and hydration in PEMs. In fluids, I demonstrate how the sensitivity of MR thermometry can be enhanced with the immersion of nanoparticles. For all these systems, I discuss the spatial, temporal and temperature resolution achieved with the demonstrated techniques and the potential ways to improve them. Finally, I discuss the applicability of electron paramagnetic resonance (EPR) imaging of n-type semiconductors for possible 3D thermometry in engineering and biology. In all the techniques presented, I also discuss the practicality and requirements for application of the technique in real world systems.
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