CALM TALK 044 | Roughing it Up: Surface Patterning of Polymer Membranes for Fouling Mitigation
发布人:张妮  发布时间:2017-05-18   

主题:Roughing it Up: Surface Patterning of Polymer Membranes for Fouling Mitigation

主讲人:丁遗福 博士


时间:2017-5-23 (周二) 13:30



主讲人简介:Yifu Ding is an associated professor at the Mechanical Engineering (ME) department at University of Colorado Boulder (CU Boulder). He is also a fellow of the Materials Science and Engineering (MSE) program at CU Boulder.Prof. Ding received his B.S. (1998) in Polymer Science and Engineering, and M.S. in Macromolecular Chemistry and Physics, both from Fudan University. In 2005, he received his Ph.D degree in Polymer Science from University of Akron.From 2005-2008, he worked as a guest researcher at National Institute of Science and Technology (NIST), and joined CU Boulder in 2008.His research interests include polymer dynamics, stimuli-responsive polymers, and separation membranes.



讲座摘要:Surface roughness of membranes is often perceived by many as a factor that promotes fouling during filtration, and thus is undesirable.Almost all liquid-based separation membranes have surfaces that are flat on the macroscale with local intrinsic surface roughness that is associated with the membrane manufacturing process.In this talk, Dr. Ding will show that surface patterns, i.e. engineered roughness, on membrane surfaces can improve their fouling resistance during microfiltration (MF), ultrafiltation (UF), nanofiltration (NF) and reverse osmosis (RO) processes.He will describe the underlying mechanisms and the corresponding processing-structure-performance relationships for surface patterning of different types of membranes. Comprehensive experimental studies reveal that the presence of the surface patterns significantly improved the overall filtration productivity and regeneration characteristics of the patterned membranes, in comparison to that of non-patterned controls, during separation of model suspensions of colloids and protein as well as salt solutions.Based on fluid mechanics modeling studies, the enhancement in performance was attributed to pattern-enhanced fluid shear.