Documents disponibles écrits par cet auteur

Analyzing the minimum entrainment velocity of ternary particle mixtures in horizontal pneumatic transport / Jason Yong Thian Tay in Industrial & engineering chemistry research, Vol. 51 N° 15 (Avril 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 15 (Avril 2012) . - pp. 5626-5632 Titre : Analyzing the minimum entrainment velocity of ternary particle mixtures in horizontal pneumatic transport Type de document : texte imprimé Auteurs : Jason Yong Thian Tay, Auteur ; Jia Wei Chew, Auteur ; Kunn Hadinoto, Auteur Année de publication : 2012 Article en page(s) : pp. 5626-5632 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Transport  process Résumé : Thus far, studies on the effects of the polydisperse size distribution on the minimum particle entrainment velocity (UPU) in horizontal pneumatic transport are limited to binary mixtures of sandlike particles. Herein we experimentally investigate UPU of ternary mixtures involving large (i.e., 400 and 170 μm) and fine particles (40 μm), where the roles of the fine particles in the entrainment of the large particles are elucidated. The presence of the 40 μm particles below ≈20% (w/w) enhances the entrainment of the 400 and 170 μm particles attributed to the high interstitial velocity of the conveying air because the fine particles occupy the interstitial spaces of the larger particles. Similar to monodisperse particles, a master curve of the particle Reynolds number versus Archimedes number is obtained for the ternary mixtures. From the master curve, a new empirical correlation for polydisperse UPU is derived using the Sauter mean diameter, where improved UPU predictions are demonstrated. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25815843 [article] Analyzing the minimum entrainment velocity of ternary particle mixtures in horizontal pneumatic transport [texte imprimé] / Jason Yong Thian Tay, Auteur ; Jia Wei Chew, Auteur ; Kunn Hadinoto, Auteur . - 2012 . - pp. 5626-5632. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 15 (Avril 2012) . - pp. 5626-5632 Mots-clés : Transport  process Résumé : Thus far, studies on the effects of the polydisperse size distribution on the minimum particle entrainment velocity (UPU) in horizontal pneumatic transport are limited to binary mixtures of sandlike particles. Herein we experimentally investigate UPU of ternary mixtures involving large (i.e., 400 and 170 μm) and fine particles (40 μm), where the roles of the fine particles in the entrainment of the large particles are elucidated. The presence of the 40 μm particles below ≈20% (w/w) enhances the entrainment of the 400 and 170 μm particles attributed to the high interstitial velocity of the conveying air because the fine particles occupy the interstitial spaces of the larger particles. Similar to monodisperse particles, a master curve of the particle Reynolds number versus Archimedes number is obtained for the ternary mixtures. From the master curve, a new empirical correlation for polydisperse UPU is derived using the Sauter mean diameter, where improved UPU predictions are demonstrated. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25815843

Numerical simulation of turbulent particle-laden flows with significant fluid to particle inertia ratio / Kunn Hadinoto in Industrial & engineering chemistry research, Vol. 48 N° 12 (Juin 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5874–5884 Titre : Numerical simulation of turbulent particle-laden flows with significant fluid to particle inertia ratio Type de document : texte imprimé Auteurs : Kunn Hadinoto, Auteur ; Jennifer Sinclair Curtis, Auteur Année de publication : 2009 Article en page(s) : pp. 5874–5884 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Turbulent  liquid-particle  flow  Microscale  fluid  inertia  CFD  model Résumé : Turbulent liquid−particle flow represents a particle-laden flow regime in which the microscale fluid inertia influence on the particle fluctuating motion and consequently the fluid−particle interaction is significant. The present work examines the predictive capability of a two-phase flow CFD model that is based on the kinetic theory of granular flow in simulating dilute-phase turbulent liquid−particle flows. The model predictive capability is evaluated at both the mean and fluctuating velocity levels, where the impacts of employing different drag correlations and turbulence closure models to describe the fluid−particle interactions are examined. The results suggest that the present model is capable of producing reasonably good predictions for both phases, though not yet quantitatively accurate, provided that appropriate drag correlation and the turbulence closure model are selected. In addition, the model predictive capability is also assessed for a gas−particle flow regime in which the gas to particle inertia ratio is not insignificant. For this purpose, gas−particle flow experiments involving low inertia particles are conducted using laser Doppler velocimetry technique. In this gas−particle flow regime, the results indicate that the present model can accurately predict the gas-phase turbulence though its predictive capability for the granular temperature is still lacking particularly near the pipe wall. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9000184 [article] Numerical simulation of turbulent particle-laden flows with significant fluid to particle inertia ratio [texte imprimé] / Kunn Hadinoto, Auteur ; Jennifer Sinclair Curtis, Auteur . - 2009 . - pp. 5874–5884. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5874–5884 Mots-clés : Turbulent  liquid-particle  flow  Microscale  fluid  inertia  CFD  model Résumé : Turbulent liquid−particle flow represents a particle-laden flow regime in which the microscale fluid inertia influence on the particle fluctuating motion and consequently the fluid−particle interaction is significant. The present work examines the predictive capability of a two-phase flow CFD model that is based on the kinetic theory of granular flow in simulating dilute-phase turbulent liquid−particle flows. The model predictive capability is evaluated at both the mean and fluctuating velocity levels, where the impacts of employing different drag correlations and turbulence closure models to describe the fluid−particle interactions are examined. The results suggest that the present model is capable of producing reasonably good predictions for both phases, though not yet quantitatively accurate, provided that appropriate drag correlation and the turbulence closure model are selected. In addition, the model predictive capability is also assessed for a gas−particle flow regime in which the gas to particle inertia ratio is not insignificant. For this purpose, gas−particle flow experiments involving low inertia particles are conducted using laser Doppler velocimetry technique. In this gas−particle flow regime, the results indicate that the present model can accurately predict the gas-phase turbulence though its predictive capability for the granular temperature is still lacking particularly near the pipe wall. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9000184