Abstract:-A Computational Fluid Dynamics model based on the Eulerian formulation for multiphase flow was developed to model the mixing hydrodynamics of two immiscible fluids in a commercial scale static mixer. The two immiscible liquids were condensate and caustic solutions and were considered as two phases that are interpenetrating each other. The aim of this study was to develop a comprehensive Computational Fluid Dynamics model for predicting the impact of hydrodynamic parameters such as length, diameter and the arr… Show more
“…All chemicals had a purity of more than 99.9%. In this process, three sodium hydroxide solutions of 10, 12 and 14% were used, which are close to those in a real Merox process (Abdolkarimi and Ganji, 2014). Table 1 lists the measured physical properties of the liquid phases used.…”
Section: Chemicals and Operating Conditionsmentioning
This study focuses on the coalescence of dimethyl disulfide drops with the mother phase at a flat aqueous-organic interface between dimethyl disulfide and different sodium hydroxide solutions. Drop coalescence is an important part of the Merox process for regenerating the solvent. A digital high-frame rate camera was used for recording drops coalescence and duration time. Drops of dimethyl disulfide were directed in different sodium hydroxide solutions as the continuous phase. Applying the experimental design method, the influences of independent variables of drop size and physical properties on coalescence time were investigated. Computational fluid dynamics (CFD) was employed to simulate the drops released from a nozzle, moving toward the interface, and the CFD results were validated by experimental data. The maximum deviation between the predicted and experimental coalescence times was 18.7%. It was found that, among the physical properties, interfacial tension plays the most important role on the coalescence time. Based on the results, a correlation for coalescence time was proposed.
“…All chemicals had a purity of more than 99.9%. In this process, three sodium hydroxide solutions of 10, 12 and 14% were used, which are close to those in a real Merox process (Abdolkarimi and Ganji, 2014). Table 1 lists the measured physical properties of the liquid phases used.…”
Section: Chemicals and Operating Conditionsmentioning
This study focuses on the coalescence of dimethyl disulfide drops with the mother phase at a flat aqueous-organic interface between dimethyl disulfide and different sodium hydroxide solutions. Drop coalescence is an important part of the Merox process for regenerating the solvent. A digital high-frame rate camera was used for recording drops coalescence and duration time. Drops of dimethyl disulfide were directed in different sodium hydroxide solutions as the continuous phase. Applying the experimental design method, the influences of independent variables of drop size and physical properties on coalescence time were investigated. Computational fluid dynamics (CFD) was employed to simulate the drops released from a nozzle, moving toward the interface, and the CFD results were validated by experimental data. The maximum deviation between the predicted and experimental coalescence times was 18.7%. It was found that, among the physical properties, interfacial tension plays the most important role on the coalescence time. Based on the results, a correlation for coalescence time was proposed.
“…Numerous computational studies have been carried out in this area as well, implementing several numerical frameworks such as two-phase Eulerian turbulent modelling through LES Jaworski, 2009, 2010] and RANS approaches [Abdolkarimi andGanji, 2014, Vasilev andAbiev, 2018a,b], Eulerian-Lagrangian [Haddadi et al, 2020], Lattice Boltzmann Method [Leclaire et al, 2020] and Population Balance Modelling (PBM) [Azizi and Taweel, 2011, Lebaz and Sheibat-Othman, 2019, Vikhansky, 2020. Usually, these works engage in similar investigations as the experimental studies, providing further insights into the hydrodynamics and occasionally coupling Lagrangian particle tracking analysis or DSD estimations using PBM.…”
“…The fluid repeatedly splits and recombines as it moves through the mixer, leading to thorough mixing and homogenization. Therefore, SMs are used for both mixing needs [1][2][3][4][5] and reaction processes. 6,7 Flow in an empty pipe can cause some radial mixing, but in most cases, an impractical length of pipe is needed to provide sufficient mixing.…”
This study focuses on using computational fluid dynamics to explore how well a modified static mixing component called the Kenics static mixer (KSM) increases heat transfer. The purpose of the study is to assess this new static mixer's pressure drop and heat transfer properties. Convective heat transport of water within the improved Kenics static mixer (IKSM) was examined using three‐dimensional turbulent, steady, and incompressible flow simulations. The Nusselt number and friction factor simulation results in the KSM are in good agreement with previous literature findings. Between the simulated outcomes of the IKSM, empty pipe, and standard KSM, a comparison analysis was done. The study considered a range of Reynolds number (Re) values from 2000 to 20,000 and investigated the effects of the Re, slit width configuration (), as well as an aspect ratio () on heat transfer and mixing. Based on the performance evaluation criteria and field synergy number characteristics, the hydrothermal efficiency of the IKSM was evaluated, allowing the geometry to be modified for better heat transmission while lowering the friction factor. Notably, in the 2000–20,000 Reynolds number range, the IKSM with four slits showed a 38%–52% greater heat transfer coefficient than the traditional KSM.
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