1 - 2 |
Advances in population balance modelling Nopens I, Biggs CA |
3 - 17 |
Population balance modeling of polymer branching and hyperbranching Smagala TG, McCoy BJ |
18 - 32 |
Modelling titania formation at typical industrial process conditions: effect of surface shielding and surface energy on relevant growth mechanisms Artelt C, Schmid HJ, Peukert W |
33 - 44 |
Formulation of a non-linear framework for population balance modeling of batch grinding: Beyond first-order kinetics Bilgili E, Yepes J, Scarlett B |
45 - 53 |
Improved orthokinetic coagulation model for fractal colloids: Aggregation and breakup Kim J, Kramer TA |
54 - 62 |
Modelling of interactive populations of disperse systems Lakatos BG, Mihalyko C, Blickle T |
63 - 74 |
Population balance modelling of activated sludge flocculation: Investigating the size dependence of aggregation, breakage and collision efficiency Ding A, Hounslow MJ, Biggs CA |
75 - 86 |
Modeling spatial distribution of floc size in turbulent processes using the quadrature method of moment and computational fluid dynamics Prat OP, Ducoste JJ |
87 - 95 |
Implementation of the population balance equation in CFD codes for modelling soot formation in turbulent flames Zucca A, Marchisio DL, Barresi AA, Fox RO |
96 - 103 |
Solution of population balance equation with pure aggregation in a fully developed turbulent pipe flow Nere NK, Ramkrishna D |
104 - 112 |
Simulation of crystal size and shape by means of a reduced two-dimensional population balance model Briesen H |
113 - 123 |
Numerical solution of the bivariate population balance equation for the interacting hydrodynamics and mass transfer in liquid-liquid extraction columns Attarakih MM, Bart HJ, Faqir NM |
124 - 134 |
Dynamic evolution of PSD in continuous flow processes: A comparative study of fixed and moving grid numerical techniques Roussos AI, Alexopoulos AH, Kiparissides C |
135 - 148 |
Agglomeration and breakage of nanoparticles in stirred media mills - a comparison of different methods and models Sommer M, Stenger F, Peukert W, Wagner NJ |
149 - 157 |
Nano-milling of pigment agglomerates using a wet stiffed media mill: Elucidation of the kinetics and breakage mechanisms Bilgili E, Hamey R, Scarlett B |
158 - 166 |
A new method for calculating the diameters of partially-sintered nanoparticles and its effect on simulated particle properties Wells CG, Morgan NM, Kraft M, Wagner W |
167 - 181 |
Predictive simulation of nanoparticle precipitation based on the population balance equation Schwarzer HC, Schwertfirm F, Manhart M, Schmid HJ, Peukert W |
182 - 191 |
A population balance model for flocculation of colloidal suspensions by polymer bridging Runkana V, Somasundaran P, Kapur PC |
192 - 204 |
Effect of mixing on nanoparticle formation in micellar route Singh R, Kumar S |
205 - 217 |
Application of population balances in the chemical industry - current status and future needs Gerstlauer A, Gahn C, Zhou H, Rauls M, Schreiber M |
218 - 228 |
Validation of bubble breakage, coalescence and mass transfer models for gas-liquid dispersion in agitated vessel Laakkonen M, Alopaeus V, Aittamaa J |
229 - 245 |
Validation of a compartmental population balance model of an industrial leaching process: The Silgrain (R) process Diez MD, Fjeld M, Andersen E, Lie B |
246 - 256 |
Droplet population balance modelling - hydrodynamics and mass transfer Schmidt SA, Simon M, Attarakih MM, Lagar L, Bart HM |
257 - 267 |
Optimal control and operation of drum granulation processes Wang FY, Ge XY, Balliu N, Cameron IT |
268 - 281 |
Predictive control of particle size distribution in particulate processes Shi D, El-Farra NH, Li MH, Mhaskar P, Christofides PD |
282 - 292 |
A new technique to determine rate constants for growth and agglomeration with size- and time-dependent nuclei formation Peglow M, Kumar J, Warnecke G, Heinrich S, Morl L |
293 - 305 |
Evolution of the fractal dimension for simultaneous coagulation and sintering Schmid HJ, Al-Zaitone B, Artelt C, Peukert W |