Discrete element reduced-order modeling of dynamic particulate systems
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Discrete element reduced-order modeling of dynamic particulate systems
Authors
Keywords
-
Journal
AICHE JOURNAL
Volume 60, Issue 9, Pages 3184-3194
Publisher
Wiley
Online
2014-05-27
DOI
10.1002/aic.14505
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reduced-order discrete element method modeling
- (2013) Fani Boukouvala et al. CHEMICAL ENGINEERING SCIENCE
- An Integrated Approach to Simulation of Pharmaceutical Processes for Solid Drug Manufacture
- (2013) Amanda J. Rogers et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Application of Positron Emission Particle Tracking (PEPT) to validate a Discrete Element Method (DEM) model of granular flow and mixing in the Turbula mixer
- (2013) M. Marigo et al. INTERNATIONAL JOURNAL OF PHARMACEUTICS
- Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms
- (2013) Amanda Rogers et al. Processes
- A multi-dimensional population balance model approach to continuous powder mixing processes
- (2012) Maitraye Sen et al. ADVANCED POWDER TECHNOLOGY
- Impact of process parameters on critical performance attributes of a continuous blender-A DEM-based study
- (2012) Atul Dubey et al. AICHE JOURNAL
- Optimizing continuous powder mixing processes using periodic section modeling
- (2012) Yijie Gao et al. CHEMICAL ENGINEERING SCIENCE
- A comparison of model order reduction techniques for a four-dimensional population balance model describing multi-component wet granulation processes
- (2012) Dana Barrasso et al. CHEMICAL ENGINEERING SCIENCE
- WSPLS — A new approach towards mixture modeling and accelerated product development
- (2012) Salvador García-Muñoz et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process
- (2012) Fani Boukouvala et al. COMPUTERS & CHEMICAL ENGINEERING
- Comparison of flow microdynamics for a continuous granular mixer with predictions from periodic slice DEM simulations
- (2012) Avik Sarkar et al. POWDER TECHNOLOGY
- Periodic section modeling of convective continuous powder mixing processes
- (2011) Yijie Gao et al. AICHE JOURNAL
- Incorporating particle flow information from discrete element simulations in population balance models of mixer-coaters
- (2011) Ben Freireich et al. CHEMICAL ENGINEERING SCIENCE
- Optimization of IGCC processes with reduced order CFD models
- (2011) Yidong Lang et al. COMPUTERS & CHEMICAL ENGINEERING
- Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method
- (2011) Fani Boukouvala et al. COMPUTERS & CHEMICAL ENGINEERING
- Dynamic Data-Driven Modeling of Pharmaceutical Processes
- (2011) F. Boukouvala et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2 - Population Balance and Data-Based Methods
- (2011) Fani Boukouvala et al. MACROMOLECULAR MATERIALS AND ENGINEERING
- Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 1 - DEM Based Methods
- (2011) Atul Dubey et al. MACROMOLECULAR MATERIALS AND ENGINEERING
- Quantitative analysis of multi-particle interactions during particle breakage: A discrete non-linear population balance framework
- (2011) Ecevit Bilgili et al. POWDER TECHNOLOGY
- Predictive modeling of pharmaceutical processes with missing and noisy data
- (2010) Fani Boukouvala et al. AICHE JOURNAL
- Characterizing continuous powder mixing using residence time distribution
- (2010) Yijie Gao et al. CHEMICAL ENGINEERING SCIENCE
- Analysis of particle motion in a paddle mixer using Discrete Element Method (DEM)
- (2010) Ali Hassanpour et al. POWDER TECHNOLOGY
- 3D DEM/CFD analysis of size-induced segregation during die filling
- (2010) Y. Guo et al. POWDER TECHNOLOGY
- Study of cold powder compaction by using the discrete element method
- (2010) J.-F. Jerier et al. POWDER TECHNOLOGY
- Design Space of Pharmaceutical Processes Using Data-Driven-Based Methods
- (2010) Fani Boukouvala et al. Journal of Pharmaceutical Innovation
- A mechanistic model for breakage in population balances of granulation: Theoretical kernel development and experimental validation
- (2009) Rohit Ramachandran et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Simulation of a continuous granular mixer: Effect of operating conditions on flow and mixing
- (2009) Avik Sarkar et al. CHEMICAL ENGINEERING SCIENCE
- Reduced Order Model Based on Principal Component Analysis for Process Simulation and Optimization†
- (2009) Yi-dong Lang et al. ENERGY & FUELS
- Predictive Modeling for Pharmaceutical Processes Using Kriging and Response Surface
- (2009) Zhenya Jia et al. Journal of Pharmaceutical Innovation
- A coupled DEM/CFD analysis of the effect of air on powder flow during die filling
- (2008) Y. Guo et al. AICHE JOURNAL
- Discrete particle simulation of particulate systems: A review of major applications and findings
- (2008) H.P. Zhu et al. CHEMICAL ENGINEERING SCIENCE
- Process Modeling in the Pharmaceutical Industry using the Discrete Element Method
- (2008) William R. Ketterhagen et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- Using Compartment Modeling to Investigate Mixing Behavior of a Continuous Mixer
- (2008) Patricia M. Portillo et al. Journal of Pharmaceutical Innovation
- Kriging metamodeling in simulation: A review
- (2007) Jack P.C. Kleijnen EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Characterization of continuous convective powder mixing processes
- (2007) Patricia M. Portillo et al. POWDER TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started