Namkanisorn, Apinan
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Item type:Publication, CFD prediction of mixing performance for circular and non-circular jet mixing tanksOur previous CFD predictions of the circular, elliptic, and square jet mixing tanks were re-analyzed to investigate the highest performance jet mixing tank design and the appropriate mixing performance criterion. So, the mixing performance indicated by overall mixing time and maximum mixing time criteria of these jet mixing tanks was compared. These CFD predictions were carefully developed by using our previous reliable jet mixing tank CFD model. For model validation, reasonable agreement between the predicted mixing times and measurements was observed. The results revealed that circular and non-circular jet flow phenomena were significantly different in the near field jet regions. Further, the elliptic jet mixing tank provided the highest mixing performance because of its highest entrainment and turbulence kinetic energy near the jet boundary. Finally, it can be concluded that the maximum mixing time criterion is a suitable mixing performance indicator. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, CFD modelling of pump-around jet mixing tanks: a discrepancy in concentration profiles(2018-10-03); ; Jet mixing tanks are important in chemical processes. Over the past two decades or so, computational fluid dynamics (CFD) has been employed to study jet mixers. The shortfalls of the previous CFD models were the discrepancy in concentration profiles between simulation and experiment and the absence of exact inlet turbulence conditions. So, in our present work, the CFD model was developed to investigate the proper conditions for jet mixing tank simulation and improve the accuracy of concentration profile prediction by using an appropriate grid arrangement, a realizable k-epsilon model, and a second-order upwind discretization scheme. The results revealed that the CFD model with proper inlet conditions predicted the overall mixing time well and somewhat improved the predicted concentration profiles. Further, the reasons for discrepancies in concentration profiles were inappropriate inlet turbulence conditions and overprediction in total momentum available for mixing due to the flat top liquid surface assumption. In addition, this discrepancy may be caused by the dynamic response of concentration measuring device. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Fracture toughness of a silane coupled polymer-metal interface: Silane concentration effects(2005-03-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effect of Curing Parameter on the Mechanical Properties and Bond Strength at Propellant-Liner Interfaces in Rocket Motors(2025-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scrubbed Palm Fatty Acid Distillate as Vitamin E Concentrate(2022-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A New Viscosity Model for Non–Newtonian Fluids: Part I – Physical Characteristics of Its Mathematical Description(2024-01-01); This research introduces a numerical approach for constructing a viscosity model, utilizing the power law model to illustrate the behavior of shear–thinning fluids in relation to fluid flow parameters. The developed viscosity model was integrated into a Computational Fluid Dynamics (CFD) tool and its performance was assessed by comparing predictions with experimental data from literature, as well as with various viscosity models such as power law, Sisko, Cross power law, and Bird–Carreau viscosity models. The results, along with the additional correlation obtained from a 100:1 planar channel flow simulation, demonstrated stability and efficiency.