[HTML][HTML] Challenges and opportunities in modelling wet granulation in pharmaceutical industry–a critical review

M Singh, S Shirazian, V Ranade, GM Walker… - Powder Technology, 2022 - Elsevier
Wet granulation is a key step in the pharmaceutical manufacturing of solid-dosage forms.
Wet granulation is used in pharmaceutical production to enhance formulation qualities such …

A comprehensive review on process and engineering aspects of pharmaceutical wet granulation

P Suresh, I Sreedhar, R Vaidhiswaran… - Chemical Engineering …, 2017 - Elsevier
Wet granulation is a very important unit operation that finds applications in many industries
mainly pharmaceutical and chemical industries. Various granulation technologies in batch …

Identification of DEM simulation parameters by Artificial Neural Networks and bulk experiments

L Benvenuti, C Kloss, S Pirker - Powder technology, 2016 - Elsevier
Abstract In Discrete Element Method (DEM) simulations, particle–particle contact laws
determine the macroscopic simulation results. Particle-based contact laws, in turn …

Recent progress of continuous crystallization

T Wang, H Lu, J Wang, Y Xiao, Y Zhou, Y Bao… - Journal of industrial and …, 2017 - Elsevier
Continuous crystallization has always been a hot topic in industrial crystallization. Many
efforts have been made to improve the continuous crystallization, either by designing novel …

A review of high shear wet granulation for better process understanding, control and product development

B Liu, J Wang, J Zeng, L Zhao, Y Wang, Y Feng… - Powder Technology, 2021 - Elsevier
High shear wet granulation (HSWG) is considered a complicated and multivariate
pharmaceutical process that is influenced by a large number of variables derived from …

Enhancing efficiency in particle aggregation simulations: Coarse-grained particle modeling in the DEM-PBM coupled framework

T De, A Das, M Singh, J Kumar - Computer Methods in Applied Mechanics …, 2023 - Elsevier
The computational cost of the discrete element method (DEM)-population balance model
(PBM) coupled framework is predominantly attributed to DEM simulations. To overcome this …

Artificial neural network modelling of continuous wet granulation using a twin-screw extruder

S Shirazian, M Kuhs, S Darwish, D Croker… - International journal of …, 2017 - Elsevier
Computational modelling of twin-screw granulation was conducted by using an artificial
neural network (ANN) approach. Various ANN configurations were considered with …

A correlation-based model order reduction approach for a diesel engine NOx and brake mean effective pressure dynamic model using machine learning

A Norouzi, M Aliramezani… - International Journal of …, 2021 - journals.sagepub.com
A correlation-based model order reduction algorithm is developed using support vector
machine to model NO x emission and break mean effective pressure of a medium-duty …

A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM–DEM coupling algorithm

D Barrasso, T Eppinger, FE Pereira, R Aglave… - Chemical Engineering …, 2015 - Elsevier
In this study, a novel mechanistic model for a wet granulation process is presented,
combining the techniques of population balance modeling and discrete element methods to …

Process model of vibrating screen based on DEM and physics-informed machine learning

SM Arifuzzaman, K Dong, A Yu - Powder Technology, 2022 - Elsevier
Vibrating screens are widely used in industry but it is difficult to consider the enormous
controlling variables and complicated particle-particle interactions in current screen process …