Date of Graduation
12-2021
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Engineering (PhD)
Degree Level
Graduate
Department
Mechanical Engineering
Advisor/Mentor
Huitink, David
Committee Member
Couvillion, Rick J.
Second Committee Member
Millett, Paul C.
Third Committee Member
Coridan, Robert H.
Fourth Committee Member
Chen, Jingyi
Fifth Committee Member
Greenlee, Lauren
Keywords
Magnetic Nanoparticle Hyperthermia; Nanoparticle Induction Heating; Nanoscale Heat Transfer; Thermometry
Abstract
Induction heating causes the release of enormous amounts of heat from dispersed magnetic nanoparticles. While the rate of heat transfer can be easily quantified calorimetrically, measuring the temperature of the nanoparticles on the nanoscale presents experimental challenges. Fully characterizing the temperature and thermal output of these magnetic particles is necessary to gauge overall heating efficiency and to provide a more holistic understanding of heat transfer on the nanoscale. Herein, this dissertation seeks to develop a novel nanoparticle thermometry technique, which correlates diffusion behavior in core-shell nanoparticles to local temperature. Initial measurements suggested that heating silica capped ferrous nanoparticles (SCNPs) via induction in a saline environment encouraged the diffusion of dissolved sodium ions into the silica shell. The concentration gradient of sodium ions within the shell underwent an observable transition after only a few seconds of heating, thus implying that the increased core temperature was the driving force behind the diffusion event. Calculating nanoscale temperature required a three-prong approach, which combined experimental and theoretical analyses. First, a computational model of the core-shell system was developed to accurately depict diffusion into the core-shell structure. Experimental X-ray methods then analyzed the relationship between diffusivity and temperature for the material system and also measured nanoscale concentration gradients within physical SCNPs. By comparing the experimental diffusion data to the theoretical model, the estimated nanoscale temperature was able to be extracted. Understanding nanoscale temperature provides insight into more encompassing thermal models for nanoparticle induction heating, which will ultimately lead to advancements in numerous applications.
Citation
Carlton, H. (2021). Thermometry via Diffusion in Ferrous Core-Shell Nanoparticles for Induction Heating Applications. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/4264
Included in
Heat Transfer, Combustion Commons, Nanoscience and Nanotechnology Commons, Nanotechnology Fabrication Commons