Browsing by Author "Quan, Zhenzhen"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Analyzing the effect of Nanofiber Orientation on Membrane Filtration Properties with the Progressive increase in its Thickness: a Numerical and Experimental Approach(Textile Research Journal, 2020) Akampumuza, Obed; Xu, Huilin; Xiong, Jian; Zhang, Hongnan; Quan, Zhenzhen; Qin, XiaohongOne of the merits of modeling is that the computer-generated data is used in optimizing equipment and experimental designs, eliminating the costs associated with scaling up by experimentation. In this work, the filtration performance of nanofibers aligned diversely within virtual webs was numerically analyzed using Star CCM + and Ansys Fluent software. This knowledge was then used to fabricate two distinctly oriented nanofiber membranes via free surface electrospinning. Their filtration performance was studied by capillary flow porometry technology using POROLUXTM 100. The results of this were in agreement with the simulation work.Item Simulation of Bimodal Fiber Distribution Effect on Transient Accumulation of Particles During Filtration(Journal of Shanghai Jiaotong University (Science), 2021) Akampumuza, Obed; Wu, Jiajun; Quan, Zhenzhen; Qin, XiaohongModeling has become phenomenal in developing new products. In the case of filters, one of the most applied procedures is via the construction of idealized physical computational models bearing close semblance to real filter media. It is upon these that multi-physics tools were applied to analyze the flow of fluid and the resulting typical performance parameters. In this work, two 3D filter membranes were constructed with MATLAB; one had a random distribution of unimodal nanofibers, and the other, a novel modification, formed a bimodal distribution; both of them had similar dimensions and solid volume fractions. A comparison of their performance in a dust-loading environment was made by using computational fluid dynamic-discrete element method (CFD-DEM) coupling technique in STAR-CCM+. It was found that the bimodal nanofiber membrane greatly improved the particle capture efficiency. Whereas this increased the pressure drop, the gain was not too significant. Thus, overall, the results of the figure of merit proved that adopting a bimodal formation improved the filter’s quality.