Year: 2025
Type: conference-paper
Abstract: Silica gel is a widely used desiccant with a high water sorption capacity, influenced by factors such as specific surface area, pore volume, and pore size. This study develops mathematical models using multiple linear regression analysis (MLRA) to predict the water sorption capacity of silica gel based on experimental data. The independent variables include the relative humidity (RH), specific surface area (SpBET), pore volume (Vp), and mean pore diameter (d). The Pearson correlation coefficient reveals strong positive correlations between water sorption capacity (w) and RH, and moderate correlations with SpBET, Vp, and d. Additionally, SpBET is strongly correlated with both Vp and d, while Vp and d also show a strong relationship. Two MLRA models are developed to predict sorption capacity: one based on RH and SpBET, and the other on RH and Vp. The R-squared values for these models are 0.886 and 0.902, respectively, indicating that they are strong predictors of water sorption capacity in silica gel.
Institutions: University of East Sarajevo, University of Banja Luka
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411218308