scholarly journals Effects of Blade Design in Wet Granulation in a High Shear Mixer Determined by Positron Emission Particle Tracking

2011 ◽  
Vol 6 (1) ◽  
pp. 233-241 ◽  
Author(s):  
Yoshitoshi SAITO ◽  
Andy INGRAM ◽  
Xianfeng FAN ◽  
Jonathan Peter Kyle SEVILLE
Keyword(s):  
Particle Tracking ◽  
Wet Granulation ◽  
High Shear ◽  
Blade Design ◽  
Positron Emission

A new approach to high-shear mixer granulation using positron emission particle tracking

2011 ◽  
Vol 66 (4) ◽  
pp. 563-569 ◽  
Author(s):  
Yoshitoshi Saito ◽  
Xianfeng Fan ◽  
Andy Ingram ◽  
Jonathan Peter Kyle Seville
Keyword(s):  
Particle Tracking ◽  
High Shear ◽  
New Approach ◽  
Positron Emission

scholarly journals Positron Emission Particle Tracking Applied to High Shear Mixer Processing

2009 ◽  
Vol 50 (9) ◽  
pp. 2341-2343 ◽  
Author(s):  
Yoshitoshi Saito ◽  
Andy Ingram ◽  
Xianfeng Fan ◽  
Jonathan Peter Kyle Seville
Keyword(s):  
Particle Tracking ◽  
High Shear ◽  
Positron Emission

Visualization of powder mixing in a high shear mixer using positron emission particle tracking

2009 ◽  
Vol 12 (4) ◽  
pp. 291-292 ◽  
Author(s):  
Y. Saito ◽  
A. Ingram ◽  
X. Fan ◽  
J. P. K. Seville
Keyword(s):  
Particle Tracking ◽  
High Shear ◽  
Powder Mixing ◽  
Positron Emission

Closing the gap in series scale up of high shear wet granulation process using impeller power and blade design

2011 ◽  
Vol 205 (1-3) ◽  
pp. 184-192 ◽  
Author(s):  
Gossett A. Campbell ◽  
Donald J. Clancy ◽  
Jinzhou X. Zhang ◽  
Manish K. Gupta ◽  
Choon K. Oh
Keyword(s):  
Scale Up ◽  
Wet Granulation ◽  
High Shear ◽  
Blade Design ◽  
Granulation Process ◽  
In Series ◽  
Closing The Gap ◽  
High Shear Wet Granulation

Efficient Global Sensitivity-Based Model Calibration of a High-Shear Wet Granulation Process

2021 ◽  
pp. 116569
Author(s):  
Aaron S. Yeardley ◽  
Stefan Bellinghausen ◽  
Robert Milton ◽  
James D. Litster ◽  
Solomon F. Brown
Keyword(s):  
Model Calibration ◽  
Wet Granulation ◽  
High Shear ◽  
Granulation Process ◽  
Global Sensitivity ◽  
High Shear Wet Granulation

scholarly journals Identification of Granule Growth Regimes in High Shear Wet Granulation Processes Using a Physics-Constrained Neural Network

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 737
Author(s):  
Chaitanya Sampat ◽  
Rohit Ramachandran
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Real Time ◽  
Data Driven ◽  
Wet Granulation ◽  
Manufacturing Processes ◽  
High Shear ◽  
Process Data ◽  
Physical Constraints ◽  
Granule Growth

The digitization of manufacturing processes has led to an increase in the availability of process data, which has enabled the use of data-driven models to predict the outcomes of these manufacturing processes. Data-driven models are instantaneous in simulate and can provide real-time predictions but lack any governing physics within their framework. When process data deviates from original conditions, the predictions from these models may not agree with physical boundaries. In such cases, the use of first-principle-based models to predict process outcomes have proven to be effective but computationally inefficient and cannot be solved in real time. Thus, there remains a need to develop efficient data-driven models with a physical understanding about the process. In this work, we have demonstrate the addition of physics-based boundary conditions constraints to a neural network to improve its predictability for granule density and granule size distribution (GSD) for a high shear granulation process. The physics-constrained neural network (PCNN) was better at predicting granule growth regimes when compared to other neural networks with no physical constraints. When input data that violated physics-based boundaries was provided, the PCNN identified these points more accurately compared to other non-physics constrained neural networks, with an error of <1%. A sensitivity analysis of the PCNN to the input variables was also performed to understand individual effects on the final outputs.

Influence of spray nozzle aperture during high shear wet granulation on granule properties and its compression attributes

2018 ◽  
Vol 553 (1-2) ◽  
pp. 474-482 ◽  
Author(s):  
Natalia Veronica ◽  
Hui Ping Goh ◽  
Christina Yong Xin Kang ◽  
Celine Valeria Liew ◽  
Paul Wan Sia Heng
Keyword(s):  
Wet Granulation ◽  
High Shear ◽  
Spray Nozzle ◽  
High Shear Wet Granulation ◽  
Granule Properties
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