(163l) Modeling and Experiments of Metal Oxide Glasses for Applications As Sensors | AIChE

(163l) Modeling and Experiments of Metal Oxide Glasses for Applications As Sensors

Authors 

Gow, A. S. - Presenter, University of New Haven
Lucia, A., University of Rhode Island
Gregory, O., University of Rhode Island
Rodriguez, L., University of Rhode Island
Temperature indicating paints are special functional coatings which visually provide the temperature distribution over a surface by assessing color and texture changes in the applied film. These thermal paints are essentially ceramic coatings, which are typically applied to gas turbine engine components to measure the temperature profiles in the engine hot section. To measure the surface temperature and surface temperature distribution in the engine accurately, an experimental approach is proposed which relies on the glass transition of the ceramic coating to affect the optical properties of the coating at a predetermined temperature in the range 400-1200C. However, glass transition in these materials is a strong function of composition and designing effective multi-component coatings for specific applications by experiment alone can be time consuming and costly. Therefore, it is useful to have a reliable computational framework for predicting the glass transition temperature and associated optical properties of these materials in order to guide experiments in tailoring the design of thermal paints. In this work, the recent approach described in Lucia and Gow (2019, 2020) is used to determine the mechanical and physical properties of these glassy materials and their underlying phase behavior. Several examples of thermal paints using silica and lead silicates are presented to elucidate key ideas.

Lucia, A., Gow, A.S. III. (2019). A Cubic Equation of State for Compounds with No Critical Point: Application to Asphaltenes. Chemical Engineering Research and Design, 151, 252-260.

Lucia, A., Gow, A.S. III. (2020). Phase Behavior of Mixtures Involving Glassy Materials. Computers and Chemical Engineering, 135, 106742.