K
KuZilati KuShaari
Researcher at Universiti Teknologi Petronas
Publications - 27
Citations - 966
KuZilati KuShaari is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Controlled release & Coating. The author has an hindex of 9, co-authored 27 publications receiving 664 citations. Previous affiliations of KuZilati KuShaari include Petronas.
Papers
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Effect of process parameters on droplet spreading behaviour over porous surface
TL;DR: In this paper, the combined effect of liquid viscosity, impact velocity, and surface porosity has been studied on contact angle, spreading factor, and residual drop volume of droplet residual volume.
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Quantitative analysis of hydrodynamic effect on transesterification process in T-junction microchannel reactor system
TL;DR: In this article, stable and highly consistent droplet-slug flow inside a microchannel was generated using a T-junction to investigate the impact of hydrodynamic factor on the reaction.
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Modelling of urea aggregation efficiency via particle tracking velocimetry in fluidized bed granulation
Ehsan Zhalehrajabi,Kok Keong Lau,KuZilati KuShaari,Wee Horng Tay,Thomas Hagemeier,Alamin Idris +5 more
TL;DR: In this paper, a predictive model to estimate the particle size distribution and aggregation efficiency of wet granulation of urea in top spray fluidized bed is presented, which can be extended to determine aggregation efficiency using particle tracking velocimetry.
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Tumbling fluidized-bed process parameters affecting quality of biopolymer coating on surface of pristine urea particles
TL;DR: In this article, the effect of tumbling fluidized bed process parameters on coating quality was studied and the Response Surface Methodology was employed for the optimization of process parameters for better results.
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Effect of fluidized-bed process variables on controlled-release of nitrogen and coating
TL;DR: In this article, the effect of different process variables on release characteristics and coating uniformity of coated urea was studied and the statistical analysis revealed that fluidizing gas temperature and coating time are the most influential variables.