Characterization of Environmental Conditioning of Lithium Hydride Using Spectroscopy and Machine Learning
Date of Award
Master of Science
Department of Engineering Physics
Anil K. Patnaik, PhD
Lithium compounds such as lithium hydride (LiH) and anhydrous lithium hydroxide (LiOH) have various applications in industry but are highly reactive when exposed to moisture and CO2. These reactions create new molecular forms, including compounds such as lithium oxide (Li2O), lithium hydroxide monohydrate (LiOH ·H2O), and lithium carbonate (Li2CO3). These new compounds degrade the effectiveness in applications using these compounds. The negative effects induced by new lithium compounds creates a need for the ability to characterize the in-growth of such compounds. To study these in-growths, this work will present environmental conditions such as heat, moisture, and the atmospheric conditions, as examples of storage conditions. A pulsed laser and an echelle spectrograph are used in a novel single setup to conduct both Raman spectroscopy and Laser-Induced Breakdown Spectroscopy (LIBS) in tandem. By employing spectroscopic techniques such as LIBS and Raman spectroscopy, in conjunction with multivariate modeling techniques (PCA,PCR,PLSR,Random Forest), these various conditions will be explored. These measurements and analysis techniques will enable collection of critical information required for validation of modeling on environmental characterizations of the lithium based compounds and their reactions that have significant implications on industrial technologies, such as batteries, and nuclear security applications.
DTIC Accession Number
Pinson, Ryan E., "Characterization of Environmental Conditioning of Lithium Hydride Using Spectroscopy and Machine Learning" (2022). Theses and Dissertations. 5469.