Two-fluid spray atomisation and pneumatic nozzles for fluid bed coating/agglomeration purposes: A review

Hede, Peter Dybdahl; Bach, Poul; Jensen, Anker Degn

doi:10.1016/j.ces.2008.04.014

Cited by 181 publications

(128 citation statements)

References 48 publications

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“…3. The correlation 14) The RMSE value computed for the predicted and actual SMD values was 18.3 µm. The low correlation coefficient results from the failure to predict the outcome for the 8% HPC solution.…”

Section: Prediction Of the Smd Of Spray Mists By Walsel's Modelmentioning

confidence: 99%

“…We generated a Rosin-Rammler plot to determine q and D′ for each spray condition in accordance with the report by Hede et al 14) stating that the distribution of spray mist often conforms to a Rosin-Rammler distribution.…”

Section: )mentioning

confidence: 99%

“…[7][8][9][10][11][12] Hede et al 14) summarized the past challenges to successfully estimating spray mist diameter. They compared data for mist diameter generated by several prediction models, which have been advocated for decades.…”

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confidence: 99%

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Evaluation of Models for Predicting Spray Mist Diameter for Scaling-Up of the Fluidized Bed Granulation Process

Fujiwara

Dohi

Otsuka

et al. 2012

CHEMICAL & PHARMACEUTICAL BULLETIN

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We evaluated models for predicting spray mist diameter suitable for scaling-up the fluidized bed granulation process. By precise selection of experimental conditions, we were able to identify a suitable prediction model that considers changes in binder solution, nozzle dimension, and spray conditions. We used hydroxypropyl cellulose (HPC), hydroxypropyl methylcellulose (HPMC), or polyvinylpyrrolidone (PVP) binder solutions, which are commonly employed by the pharmaceutical industry. Nozzle dimension and spray conditions for oral dosing were carefully selected to reflect manufacturing and small (1/10) scale process conditions. We were able to demonstrate that the prediction model proposed by Mulhem optimally estimated spray mist diameter when each coefficient was modified. Moreover, we developed a simple scale-up rule to produce the same spray mist diameter at different process scales. We confirmed that the Rosin-Rammler distribution could be applied to this process, and that its distribution coefficient was 1.43-1.72 regardless of binder solution, spray condition, or nozzle dimension.

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Section: Prediction Of the Smd Of Spray Mists By Walsel's Modelmentioning

confidence: 99%

Section: )mentioning

confidence: 99%

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Evaluation of Models for Predicting Spray Mist Diameter for Scaling-Up of the Fluidized Bed Granulation Process

Fujiwara

Dohi

Otsuka

et al. 2012

CHEMICAL & PHARMACEUTICAL BULLETIN

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“…When injected from the nozzle orifice, the liquid jet starts to make contact with the 74 mixing zone, expanding radially and squeezed into a thin circular sheet (Zeoli and Gu, 2006). 75 The term "liquid sheet" is used for both flat and cylindrical jets as common nomenclature 76 (Hede et al, 2008). For more details about two-fluid atomisation, the reader is referred to 77 Hede et al (2008), Sridhara and Raghunandan (2010) and Varga et al (2003).…”

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confidence: 99%

“…75 The term "liquid sheet" is used for both flat and cylindrical jets as common nomenclature 76 (Hede et al, 2008). For more details about two-fluid atomisation, the reader is referred to 77 Hede et al (2008), Sridhara and Raghunandan (2010) and Varga et al (2003). whole process and in practice have to be trial-and-error tested in order to control spray 84 characteristics, including droplet size distribution, droplets trajectories and spray cone angle 85 (Hede et al, 2008;Ronsse et al, 2007b).…”

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confidence: 99%