Date of Award

8-2025

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Mathematical Sciences

Committee Chair/Advisor

Lea Jenkins

Committee Member

Vince Ervin

Committee Member

Timo Heister

Committee Member

Sibusiso Mabuza

Abstract

We consider a nonlinear transport problem to model the chromatography process of high-capacity multimodal membranes. Robust and efficient algorithms that simulate these bioseparation processes are critical to developing therapeutics for various chronic illnesses and infectious diseases. However, much of the current methodology focuses on stabilization and linearization techniques, often implementing low-order time-discretizations and linearized adsorption, resulting in inefficiencies and inaccuracies in the numerical solution. Utilizing Rothe's method, we develop various time-discretization schemes coupled with the finite element method to solve the fully implicit problems. Stability and solvability results are presented for several methods. Through multiple high-level software implementations paired with national laboratory solvers, we verify a priori error estimates and generate breakthrough curves to test the experimental validity of the numerical solutions. We also test our methods by sweeping over the feasible set of adsorption parameters. Our results indicate that these methods have significantly improved the current simulation framework to model downstream filtration processes.

Author ORCID Identifier

https://orcid.org/0000-0002-6153-2938

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