화학공학소재연구정보센터
검색결과 : 9건
No. Article
1 Fouling indicators for field monitoring the effectiveness of operational strategies of ultrafiltration as pretreatment for seawater desalination
Gu H, Rahardianto A, Gao LX, Caro XP, Giralt J, Rallo R, Christofides PD, Cohen Y
Desalination, 431, 86, 2018
2 Fault Detection and Isolation in a Spiral-Wound Reverse Osmosis (RO) Desalination Plant
Pascual X, Gu H, Bartman A, Zhu AH, Rahardianto A, Giralt J, Rallo R, Christofides PD, Cohen Y
Industrial & Engineering Chemistry Research, 53(8), 3257, 2014
3 Data-driven models of steady state and transient operations of spiral-wound RO plant
Pascual X, Gu H, Bartman AR, Zhu AH, Rahardianto A, Giralt J, Rallo R, Christofides PD, Cohen Y
Desalination, 316, 154, 2013
4 Mineral scale monitoring for reverse osmosis desalination via real-time membrane surface image analysis
Bartman AR, Lyster E, Rallo R, Christofides PD, Cohen Y
Desalination, 273(1), 64, 2011
5 Neural network approach for modeling the performance of reverse osmosis membrane desalting
Libotean D, Giralt J, Giralt F, Rallo R, Wolfe T, Cohen Y
Journal of Membrane Science, 326(2), 408, 2009
6 Coupled 3-D hydrodynamics and mass transfer analysis of mineral scaling-induced flux decline in a laboratory plate-and-frame reverse osmosis membrane module
Lyster E, Au J, Rallo R, Giralt F, Cohen Y
Journal of Membrane Science, 339(1-2), 39, 2009
7 Organic compounds passage through RO membranes
Libotean D, Giralt J, Rallo R, Cohen Y, Giralt F, Ridgway HF, Rodriguez G, Phipps D
Journal of Membrane Science, 313(1-2), 23, 2008
8 Using an ensemble of neural based QSARs for the prediction of toxicological properties of chemical contaminants
Rallo R, Espinosa G, Giralt F
Process Safety and Environmental Protection, 83(B4), 387, 2005
9 Neural virtual sensor for the inferential prediction of product quality from process variables
Rallo R, Ferre-Gine J, Arenas A, Giralt F
Computers & Chemical Engineering, 26(12), 1735, 2002