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• W4311684904 abstract "Anodic oxidation is a viable technology for the degradation of contaminants such as Ni-ethylenediaminetetraacetic acid (Ni-EDTA) complexes which are commonly found in wastewaters from the electroless plating industry. In an anodic oxidation process, the convective transport of the contaminant to the anode, which is affected by the hydrodynamic characteristics of the reactor and geometry of the electrodes, is crucial to the overall contaminant removal efficiency. In this work, a three-dimensional computational fluid dynamics (CFD) model was successfully developed to investigate flow behavior and its impact on the concentration profiles of Ni-EDTA complexes in a flow-through reactor during anodic oxidation of a synthetic wastewater containing these complexes. The CFD model was used to investigate the effect of electrode aperture size and shape on Ni-EDTA degradation with both simulation and experimental results indicating that, for the investigated system, the reduction of electrode aperture size enhanced the Ni-EDTA degradation rate by up to 1.4 times due to the increased rate of Ni-EDTA mass transfer to the electrode surface. A woven electrode exhibited the highest rate of Ni-EDTA degradation of the different anodes examined with the good performance in this case attributed particularly to the much more uniform Ni-EDTA concentration distribution and surface shear stress on the electrode surface. The CFD model developed in this study provided insights into the effect of electrode aperture geometry on mass transfer and subsequent contaminant removal efficiency and can be used more broadly for the optimization of anode design and reactor operation in electrochemical advanced oxidation processes." @default.
• W4311684904 created "2022-12-28" @default.
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• W4311684904 date "2022-12-16" @default.
• W4311684904 modified "2023-09-25" @default.
• W4311684904 title "Investigation of the Effects of Anode Geometry on the Electrochemical Degradation of Ni-Ethylenediaminetetraacetic Acid Complexes Using Computational Fluid Dynamics Simulation" @default.
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• W4311684904 doi "https://doi.org/10.1021/acsestengg.2c00278" @default.
• W4311684904 hasPublicationYear "2022" @default.
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