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PICS Colloquium: “Computational and Experimental Modeling of Membrane Distillation”
December 3, 2021 at 2:00 PM - 3:00 PM
Abstract:
Computational fluid dynamics simulations and experiments were conducted to study the performance of distillation membrane process for water treatment and desalination applications. Polarizations and fouling/scaling in a direct contact membrane distillation module were examined. Laminar and turbulent flow regimes in the feed and permeate channels were considered. The hydrophobic membrane separates feed and permeate channels. The membrane is treated as a functional surface where the permeate flux is modeled as a function of local temperature, concentration using the Dusty-Gas diffusion model. The combination of Knudsen and viscous diffusion governs the vapor transport through the membrane. Vaporization occurs in the feed channel at the entrance of pores of the membrane due to the well-known confinement (surface tension) effect. Vapor is pushed through the membrane by the partial pressure difference created by the temperature concentration difference across the membrane. The permeability (resistance) of the membrane depends strongly on the membrane thickness, porosity, pore size, and tortuosity. Mitigation of polarizations and fouling/scaling and the optimization of module design will be presented and discussed.
Alparslan Oztekin
Professor of Mechanical Engineering & Mechanics at Lehigh University.
Alp Oztekin has been a professor of Mechanical Engineering and Mechanics at Lehigh University since 1994. He received a Ph.D. degree from the University of Illinois at Champaign-Urbana in 1992. He worked on a broad range of research problems and supervised and graduated more than 50 Ph.D. students during his tenure at Lehigh. His research interests include computational fluid dynamics, heat and mass transfers, membrane separation (reverse osmosis, forward osmosis, membrane distillation) for water treatment and desalination applications, laminar and turbulent flows, viscoelastic flows, biofluids, nanoparticles separation by thermophoresis and the elastic effects, energy conversion systems, renewable energy, and energy storage.