2009
DOI: 10.1243/09544089jpme244
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Residence time study of a hydrodynamic vortex separator applied to predicting disinfection performance

Abstract: The fluid residence time characterization of a 3.4 m diameter hydrodynamic vortex separator (HDVS) has been carried out under laboratory conditions. Computational fluid dynamics (CFD) modelling has then been undertaken for the same conditions at which the experimental data were collected and validated against the experimental results, for which reasonable correspondence has been found. Using the results from the CFD modelling and batch inactivation results from the disinfection of secondary treated wastewater,… Show more

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Cited by 2 publications
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“…), the designing process which incorporates modeling and numerical simulation becomes much easier and thus saves researchers and engineers much time and cost of field experiments. Specifically, FLUENT, as a typical general purpose computational fluid dynamics (CFD) code, has been frequently applied by CAE engineers in the field of water treatment, because hydrodynamic lays a solid foundation for the design, evaluation, and optimization for structures (Balan et al, 2019; Braak et al, 2017; Ding et al, 2013; Fan et al, 2007; Jensen et al, 2006) and equipment (Ibrahim et al, 2013; O'Doherty et al, 2009) for a long time (Bush & Silveston, 1978; Glover et al, 2006; Jiang et al, 2014; Peng et al, 2014). Recently, with the development of energy and dissipation models, the performance of FLUENT solver in simulating the mixing process within in‐line static mixers has been validated by a large number of published papers (Hobbs & Muzzio, 1997; Byrde & Sawley, 1999; Cheng et al, 2016; Haddadi et al, 2020; Hobbs et al, 1998; Hobbs, Muzzio, 1998a, 1998b; Ir & Lecjaks, 2011; Kumar et al, 2008; Lang et al, 1995; Rahmani et al, 2007; Rauline et al, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…), the designing process which incorporates modeling and numerical simulation becomes much easier and thus saves researchers and engineers much time and cost of field experiments. Specifically, FLUENT, as a typical general purpose computational fluid dynamics (CFD) code, has been frequently applied by CAE engineers in the field of water treatment, because hydrodynamic lays a solid foundation for the design, evaluation, and optimization for structures (Balan et al, 2019; Braak et al, 2017; Ding et al, 2013; Fan et al, 2007; Jensen et al, 2006) and equipment (Ibrahim et al, 2013; O'Doherty et al, 2009) for a long time (Bush & Silveston, 1978; Glover et al, 2006; Jiang et al, 2014; Peng et al, 2014). Recently, with the development of energy and dissipation models, the performance of FLUENT solver in simulating the mixing process within in‐line static mixers has been validated by a large number of published papers (Hobbs & Muzzio, 1997; Byrde & Sawley, 1999; Cheng et al, 2016; Haddadi et al, 2020; Hobbs et al, 1998; Hobbs, Muzzio, 1998a, 1998b; Ir & Lecjaks, 2011; Kumar et al, 2008; Lang et al, 1995; Rahmani et al, 2007; Rauline et al, 2000).…”
Section: Introductionmentioning
confidence: 99%