Effect of operating conditions and design parameters in a continuous powder mixer

Vanarase, Aditya U.; Muzzio, Fernando J.

doi:10.1016/j.powtec.2010.11.038

Cited by 175 publications

(95 citation statements)

References 22 publications

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“…e hybrid PBM-DEM model demonstrated good qualitative agreement with experimental studies as well as full featured DEM simulations [15,18,50]. A further experimental validation of the PBM has been carried out by the authors [51] which is quantitative in nature.…”

Section: 24mentioning

confidence: 52%

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Sen

Dubey

Singh

et al. 2013

Journal of Powder Technology

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is paper describes the development of a multidimensional population balance model (PBM) which can account for the dynamics of a continuous powder mixing/blending process. e PBM can incorporate the important design and process conditions and determine their effects on the various critical quality attributes (CQAs) accordingly. e important parameters considered in this study are blender dimensions and presence of noise in the inlet streams. e blender dynamics have been captured in terms of composition of the ingredients, (relative standard deviation) RSD, and (residence time distribution) RTD. PBM interacts with discrete element modeling (DEM) via one-way coupling which forms a basic framework for hybrid modeling. e results thus obtained have been compared against a full DEM simulation which is a more fundamental particle-level model that elucidates the dynamics of the mixing process. Results show good qualitative agreement which lends credence to the use of coupled PBM as an effective tool in control and optimization of mixing process due to its relatively fewer computational requirements compared to DEM.

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Section: 24mentioning

confidence: 52%

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Sen

Dubey

Singh

et al. 2013

Journal of Powder Technology

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“…Important operating parameters include mixing angle, agitator rpm and powder flowrate. Powder properties, particularly cohesiveness and flow properties, can also affect mixing performance [35,[37][38][39]. As is the case for hoppers, if components in the blend have very different properties (particle size and density) segregation may occur [40].…”

Section: Continuous Mixersmentioning

confidence: 99%

“…Two mixers that differed according to geometric parameters such as vessel length and diameter and blade size, shape and configuration were compared in this study. Finally Vanarase and Muzzio [38] have studied the impact of impeller rotation rate, flow rate and blade configuration on mixer performance as characterized by RSD and VRR.…”

Section: Continuous Mixersmentioning

confidence: 99%

“…For instance, if it is assumed that all granules of the same solid and liquid content also have the same gas content then it is possible to describe the 4-D population balance in 36 as a set of two 3 dimensional equations; the reduced PBE (Equation (37)) and a gas balance equation (Equation (38)). The gas balance equation relates the total gas volume , , , in a particular discretization bin to the volume of gas in each particle , , , and the inflow and outflow of gas for the entire bin [113,191,192].…”

Section: Wet Granulationmentioning

confidence: 99%

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Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms

2013

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Abstract:The objective of this work is to present a review of computational tools and models for pharmaceutical processes, specifically those for the continuous manufacture of solid dosage forms. Relevant mathematical methods and simulation techniques are discussed, as is the development of process models for solids-handling unit operations. Continuous processing is of particular interest in the current study because it has the potential to improve the efficiency and robustness of pharmaceutical manufacturing processes.

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“…33) PAT has been investigated for use in producing pharmaceutical granules during continuous processing. [34][35][36] NIR is most often the chosen method to analyze the homogeneous blending process, [37][38][39][40][41][42] the lubrication process, [42][43][44][45][46][47] the tableting process [48][49][50] and the film coating process. [51][52][53] Thermal effusivity [54][55][56][57][58][59][60] is another technique that has potential PAT applications and is capable of monitoring the lubrication process.…”

mentioning

confidence: 99%

New Approach to Evaluate the Lubrication Process in Various Granule Filling Levels and Rotating Mixer Sizes Using a Thermal Effusivity Sensor

Uchiyama

Aoki

Uemoto

2015

CHEMICAL & PHARMACEUTICAL BULLETIN

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The principles of thermal effusivity are applied to an understanding of the detailed mechanisms of the lubrication process in a rotating mixer. The relationships and impact of the lubrication process by the pattern of powder flow, the filling level, and the rotating mixer size were investigated. Thermal effusivity profiles of the lubrication process, as obtained, indicate that lubrication is a two-phase process. The intersection point of the first and second phases (IPFS) is influenced by changing the filling level, thus changing the resulting number of avalanche flows created. The slope of the second phase (SSP) is influenced by the relationship between the number and the length of avalanche flows. Understanding this difference between the first and second phases is important to successfully evaluate the impact of proposed changes in the lubrication process. From this knowledge, a predictive model of the lubrication profile can be generated to allow an evaluation of proposed changes to the lubrication process. This model allows estimation of the lubrication profile at different filling levels and in different rotating mixer sizes. In this study, the actual lubrication profile almost coincides with the model predicted lubrication profile. Based on these findings, it is assumed that lubrication profiles at a commercial scale can be predicted from data generated at the laboratory scale. Further, it is assumed that changes in the filling level can also be estimated from the laboratory or current data.

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Effect of operating conditions and design parameters in a continuous powder mixer

Cited by 175 publications

References 22 publications

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms

New Approach to Evaluate the Lubrication Process in Various Granule Filling Levels and Rotating Mixer Sizes Using a Thermal Effusivity Sensor

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