A priori prediction of aggregation efficiency and rate constant for fluidized bed melt granulation

Chua, Kel W.; Makkawi, Yassir; Hounslow, Michael J.

doi:10.1016/j.ces.2013.05.018

Cited by 19 publications

(15 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the present study ϵ is assumed to be constant; however it could depend on the pre-collisional velocity and the particle properties. The relative velocity is calculated basing on the granular temperature Θ of the flow as in Chua et al (2013):…”

Section: Derivation Of An Estimative Model For Collision Efficiencymentioning

confidence: 99%

See 1 more Smart Citation

The collision efficiency of liquid bridge agglomeration

Balakin

Kutsenko

Lavrukhin

et al. 2015

Chemical Engineering Science

View full text Add to dashboard Cite

Section: Derivation Of An Estimative Model For Collision Efficiencymentioning

confidence: 99%

“…Agarwal (2002) used this relation to estimate the efficiency of the doublet formation. Thielmann et al (2008) and Chua et al (2013) considered the fractional coverage as well as the viscous effects of the bridge in their expression for collision efficiency:…”

Section: Introductionmentioning

confidence: 99%

The collision efficiency of liquid bridge agglomeration

Balakin

Kutsenko

Lavrukhin

et al. 2015

Chemical Engineering Science

View full text Add to dashboard Cite

“…Several kernels have been listed in literature each with their own set of advantages (a well‐characterized summary of the different kernels is presented by Cameron et al). Correlations for aggregation kernel ( β ), both empirical and theoretical, have been put forth over the years, which include both size‐independent and size‐dependent descriptions . A proper representation of the kernel prefactor term β 0 that is size independent will enable us to model the system more efficiently, as it is this term that incorporates the various system parameters such as operating conditions and formulation properties into account .…”

Section: Introductionmentioning

confidence: 99%

“…Correlations for aggregation kernel (β), both empirical and theoretical, have been put forth over the years, which include both sizeindependent and size-dependent descriptions. [20][21][22] A proper representation of the kernel prefactor term β 0 that is size independent will enable us to model the system more efficiently, as it is this term that incorporates the various system parameters such as operating conditions and formulation properties into account. 22 When API and wet granulation operating conditions are the same, it is assumed that the term β 0 does not vary and thus in most simulations the term β 0 is assumed a constant and determined using experimental data fitting.…”

Section: Introductionmentioning

confidence: 99%

Investigation on agglomeration kinetics of acetaminophen using fluidized bed wet granulation

Suresh

Kumar

Surasani

2020

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

Acetaminophen is a well‐known medicine frequently used as analgesic in fever treatment. In pharmaceutical formulation procedure, batch fluidized bed wet granulation is a bottleneck process for the continuous processing of acetaminophen from powder to solid dosage form. To meet the market demand and reduce operating costs, fluid bed wet granulation needs process intensification by converting batch to continuous process. For the scale‐up and batch to continuous conversion procedure, investigation on acetaminophen agglomeration kinetics is necessary. Therefore, this work investigates agglomeration kinetics of acetaminophen through batch fluidized bed wet granulation experiments, and the kinetic parameters are estimated using inverse modeling. Experiments are conducted on a 5‐L capacity pilot scale batch fluidized bed granulator. The effects of various process parameters, namely, binder concentration, spray rate, atomization pressure, and batch size, on particle size distribution are investigated. A 1‐D population balance model with Equi‐Kinetic Energy kernel for agglomeration is simulated to compare with the experimental data. The mean particle diameter increased when binder spray rate and binder concentration are increased and that the mean particle diameter decreased with increase in the atomization pressure and batch size. Experiments data comparison with the model can be used for process intensification with reasonable accuracy.

show abstract

“…Effect of spray rate, droplet size, and operating temperature was investigated on PSD of substrate particles in a fluidized bed granulator using PEG 1500 as a binder. The PSD was modelled using 1D PBM and the hydrodynamics of fluidized bed was predicted using Computational Fluid Dynamics (CFD) modelling [7,8]. The aggregation efficiency of CaCO 3 particles in a high-shear granulator was estimated using PBM and particle image velocimetry.…”

Section: Introductionmentioning

confidence: 99%

Effect of Biodegradable Binder Properties and Operating Conditions on Growth of Urea Particles in a Fluidized Bed Granulator

et al. 2019

View full text Add to dashboard Cite

Granulation is an important step during the production of urea granules. Most of the commercial binders used for granulation are toxic and non-biodegradable. In this study, a fully biodegradable and cost-effective starch-based binder is used for urea granulation in a fluidized bed granulator. The effect of binder properties such as viscosity, surface tension, contact angle, penetration time, and liquid bridge bonding force on granulation performance is studied. In addition, the effect of fluidized bed process parameters such as fluidizing air inlet velocity, air temperature, weight of primary urea particles, binder spray rate, and binder concentration is also evaluated using response surface methodology. Based on the results, binder with higher concentration demonstrates higher viscosity and higher penetration time that potentially enhance the granulation performance. The viscous Stokes number for binder with higher concentration is lower than critical Stokes number that increases coalescence rate. Higher viscosity and lower restitution coefficient of urea particles result in elastic losses and subsequent successful coalescence. Statistical analysis indicate that air velocity, air temperature, and weight of primary urea particles have major effects on granulation performance. Higher air velocity increases probability of collision, whereby lower temperature prevents binder to be dried up prior to collision. Findings of this study can be useful for process scale-up and industrial application.

show abstract

A priori prediction of aggregation efficiency and rate constant for fluidized bed melt granulation

Cited by 19 publications

References 12 publications

The collision efficiency of liquid bridge agglomeration

The collision efficiency of liquid bridge agglomeration

Investigation on agglomeration kinetics of acetaminophen using fluidized bed wet granulation

Effect of Biodegradable Binder Properties and Operating Conditions on Growth of Urea Particles in a Fluidized Bed Granulator

Contact Info

Product

Resources

About