Revisiting Experimental Techniques and Theoretical Models for Estimating the Solubility Parameter of Rubbery and Glassy Polymer Membranes
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Annual Student Conference: Competitions & Events
Undergraduate Student Poster Session: Materials Engineering and Sciences
Monday, November 6, 2023 - 10:00am to 12:30pm
Dynamic light scattering offers a quicker solution while consuming less material, by correlating δ to the hydrodynamic diameter of polymers in various solvents. Rubbery and glassy polymers, including a microporous polymers, PIM-1, and a high fractional free volume (FFV) polymer, poly(1-trimethylsilyl-1-propyne) (PTMSP), are among the samples included in this study with great relevance to membrane science. Secondly, in an attempt to enhance the accuracy of numerical estimate of polymer solubility parameters via the group contribution method, we provide updated group contribution parameters, along with their uncertainty, according to the technique recently reported by Smith et al. (J. Membr. Sci. 636 (2021) 119525). These updated group contribution parameters result in a mean absolute relative error of 9.0% in predicting the solubility parameter on a test set of 40 polymers, which is on par with the average 10% error reported previously. We also show, using machine learning techniques, that augmenting the group contribution model with extra parameters or non-linear relationships does not improve its accuracy. Results of the updated group contribution technique and dynamic light scattering measurements were compared to experimental viscometry on four test polymers, and the difference between the three techniques is discussed.