2019
DOI: 10.1016/j.ces.2018.12.051
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Mass transfer towards a reactive particle in a fluid flow: Numerical simulations and modeling

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Cited by 14 publications
(6 citation statements)
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References 28 publications
(27 reference statements)
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“…The dotted line in Figure 5b depicts a simulated concentration overpotential curve corresponding to the expected HOR behaviour of a catalyst whose reaction rate constant is much larger than the mass transfer coefficient (i.e., external mass transfer controlled). [44][45][46] Notably, the predicted external mass transfer limited current density-which is described by the Levich equation and does not depend on the catalyst composition-was 2.6 mA/cm 2 at 1600 rpm in 0.1 M KOH, in close agreement with the data collected for a Pt/C catalyst. The fact that Ni-Mo/oC catalysts did not reach 2.6 mA/cm 2 suggests that a different type of mass transfer limitation may negatively impact the observed activity.…”
Section: (B)supporting
confidence: 82%
“…The dotted line in Figure 5b depicts a simulated concentration overpotential curve corresponding to the expected HOR behaviour of a catalyst whose reaction rate constant is much larger than the mass transfer coefficient (i.e., external mass transfer controlled). [44][45][46] Notably, the predicted external mass transfer limited current density-which is described by the Levich equation and does not depend on the catalyst composition-was 2.6 mA/cm 2 at 1600 rpm in 0.1 M KOH, in close agreement with the data collected for a Pt/C catalyst. The fact that Ni-Mo/oC catalysts did not reach 2.6 mA/cm 2 suggests that a different type of mass transfer limitation may negatively impact the observed activity.…”
Section: (B)supporting
confidence: 82%
“…Sh is the mass transfer coefficient. 59,60 Like many other fluid mechanic parameters, it is possible to avoid complex computation thanks to an approximating formula. 61 Losses due to impaction and inertia forces.…”
Section: Sampling Efficiencymentioning
confidence: 99%
“…The present study is a part of a series of consecutive compu tational studies of reactive particulate flows. We investigated the problem of a single fixed particle where we used a boundary fitted method in Sulaiman et al (2018), now examine in this paper the problem of multiple aligned particles with a non boundary fitted method, and then will use this non boundary fitted method in future works to examine a random array of fixed particles and freely moving particles in a fluidized bed. The 3D simulation results supplied by this computational method in a flow configura tion representative of dilute particle laden flows are used to assess the validity of a reactive Sherwood number correlation that we already suggested for the case of a single sphere in an unbounded domain in Sulaiman et al 2018and that we revisit later in this work.…”
Section: Introductionmentioning
confidence: 99%
“…Then, any appropriate empirical correlation available in the literature for Sh can be used. For instance in (Sulaiman et al, 2018), we used for a single sphere the correlation defined by Feng and Michaelides (2000):…”
mentioning
confidence: 99%