IPROCOM: The development of in silico process models for roll compaction

IPROCOM is a multidisciplinary and inter-sectoral consortium funded by European Commission under the FP7-PEOPLE-2012-ITN Programme.

Start date

01 January 2013

End date

31 December 2016

Overview

The project consortium brings together experts from engineering, pharmaceutical science, materials science and computer science disciplines from 10 full partners and four associate partners specialising in pharmaceutical development, machine manufacturing, multimedia and science communications.

Structured research training in IPROCOM consists of three complementary work packages:

  1. Process understanding through systematic experimental investigation
  2. Multiscale modeling with discrete element methods (DEM) and finite element methods (FEM)
  3. Intelligent modeling with artificial neural networks, evolutionary computation and other heuristic techniques.

Aims and objectives

The goal of IPROCOM is to address scientific and technology challenges in the manufacturing of particulate products (pharmaceuticals, catalyst pellets, detergent tablets, fertilizer, biomass and metal components) through a coordinated and structured research training programme.
 
In particular, it aims to develop robust in silico process models that can be used to predict the properties of intermediate (ribbons/granules) and final products (tablets/pellets/components) based on the properties of individual particles and to provide structured training for the next generation of researchers who will comprehend such models, associated knowledge and techniques and apply them to a number of particulate products manufacturing industries.

Funding amount

€3.8 million

Team

Members

Ajith Abraham profile image

Professor Ajith Abraham

Supervisor: Machine Intelligence Research (MIR) Labs, Czech

Crina Grosan profile image

Dr Crina Grosan

EU Research Charter Champion: Department of Computer Science, Babes-Bolyai University, Romania

Peter Kleinebudde profile image

Professor Peter Kleinebudde

Director of Research and WP1 Lead: Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine-University, Germany

Torsten Kraft profile image

Dr Torsten Kraft

Training committee WP2 Lead: Fraunhofer Institute, Germany

Olivier Lecoq profile image

Dr Olivier Lecoq

Supervisor: Mines Albi, France

Michele Marigo profile image

Dr Michele Marigo

Director of Training: Research and Development, Johnson Matthey, UK

Aleksander Mendyk profile image

Dr Aleksander Mendyk

WP3 Lead: Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University, Poland

Abder Michrafy profile image

Dr Abder Michrafy

Training committee WP1 Lead: Powders and Processes Group, Mines Albi, France

Charles Radeke profile image

Dr Charles Radeke

Outreach Champion: RCPE, Austria

Gavin Reynolds profile image

Dr Gavin Reynolds

Research and Development: AstraZeneca, UK

Vaclav Snasel profile image

Professor Vaclav Snasel

Supervisor: Faculty of Electrical Engineering and Computer Science, Vysoka Skola Banska, Czech

Hugh Stitt profile image

Professor Hugh Stitt

Director of Training: Catalyst Manufacture and Reaction Engineering Research, Johnson Matthey, UK

International Advisory Board

Wei Ge profile image

Professor Wei Ge

Professor in Chemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, China

Karen Hapgood profile image

Professor Karen Hapgood

Head of Chemical Engineering, Monash University, Australia

Antonios Zavaliangos profile image

Professor Antonios Zavaliangos

A. W. Grosvenor Professor, Materials Science and Engineering, Drexel University, USA

Early stage researchers

Take a look at our early stage researchers and the projects they are working on.

Serena Schiano

The objectives are to experimentally characterise particle and powder properties using a wide range of techniques, to identify critical particle characteristics that dominate bulk powder properties, and to investigate powder mixing and quantify the mixing dynamics and microstructures of mixtures.

ESR1, Serena Schiano, will be based at the University of Surrey, UK.

Kitti Csordas

The aim of this project is to explore how material properties, roll compactor type and process parameters affect the roll compaction process, for which ribbon properties produced using various types of roll compactors available in IPROCOM and microscopic flow patterns of particles during roll compaction with different system designs will be characterised.

ERS2, Kitti Csordas, will be hosted at Heinrich-Heine-University, Germany.

Ana Pérez Gago

The objectives are to perform a systematic study of roll compaction using roll compactors of different scales and to identify the design space for roll compaction.

ERS3, Ana Pérez Gago, will be hosted at Heinrich-Heine-University, Germany.

Lucía Pérez Gandarillas

The objective is to explore how ribbon properties and milling conditions affect the granule properties. Microscopic study on fundamental milling mechanisms will be performed. ESR4 will also perform compaction experiments using both feed powders and produced granules.

ESR4, Lucía Pérez Gandarillas, will be based at Ecole des Mines d'Albi, France.

Luca Orefice

The objectives are to analyse powder filling processes using DEM, and to assess flow rate and uniformity, and how particle properties and process conditions will affect the properties of the powder bed in roll compaction. DEM models will be further developed to explore the effects of particle shape, cohesion, agglomeration and electrostatic interactions.

ESR5, Luca Orefice, will be hosted at Research Centre Pharmaceutical Engineering GmbH, Graz, Austria.

Alon Mazor

The objective is to develop predictive models using FEM , which can be used to identify the critical material properties and process parameters controlling the quality of granules. The effects of powder properties and roll compactor types will be investigated.

ESR6, Alon Mazor, will be based at Ecole des Mines d'Albi, France.

Simone Loreti

This project aims to explore the fundamental microscopic mechanisms of ribbon milling using DEM. How ribbon properties and milling conditions affect the microscopic behaviour of milling will be explored.

ESR7, Simone Loreti, will be based at the University of Surrey, UK.

Raphael Schubert

The goal of this project is to predict final compact properties using a combination of DEM and FEM. A systematic investigation  will be performed to examine how granule properties and process parameters affect the die filling behaviour and the subsequent powder compaction and ejection.

ESR8, Raphael Schubert, will be hosted at Fraunhofer Institute for Mechanics of Materials IWM, Germany.

Varun Kumar Ojha

The objectives of this project are to develop a robust computational intelligence (CI) platform together with ESRs 10-12 and to identify critical particle properties (CPPs) and critical process variables (CPVs) that dominate bulk powder characteristics.

ESR9, Varun Kumar Ojha, will be based at Vysoka Skola Banska - Technicka Univerzita Ostrava, Czech Republic and MIR Labs.

Hossam Zawbaa

The objectives of this project are to develop a robust CI platform together with ESRs 9, 11, 12, to model roll compaction processes and to identify critical powder properties and CPVs controlling ribbon characteristics.

ESR10, Hossam Zawbaa, will be hosted at Babes-Bolyai University, Romania.

Pezhman Kazemi

The objectives are to develop a robust CI platform together with ESRs 9, 10, 12, to model the ribbon milling process, to predict granule properties based on ribbon parameters and milling conditions, and to identify vital information on critical materials and process variables.

ESR11, Pezhman Kazemi, will be based at Jagiellonian University, Poland.

Hassan Khalid

This project aims to develop a robust CI platform together with ESRs 9-11 and to model the powder compaction process, from which critical granules and granulation parameters together with process variables will be identified.

ESR12, Hassan Khalid, will also be based at Jagiellonian University, Poland.

Experienced researchers

Take a look at our experienced researchers and the projects they are working on.

Zilin Yan

The objective of ER1 is to characterise bulk powder properties based on the properties of single particles using DEM and to work closely with other ESRs/ERs to devise a multi-scale numerical platform for particulate product manufacturing.

ER1, Dr Zilin Yan, will be based at Johnson Matthey plc., UK.

Dr Sebastian Gonzalez

The objectives of this project are to assess how uniformly particles of different properties can be mixed  and to simulate the mixing behaviour of various powders and to investigate the mixing and segregation phenomena using DEM. The effect of packing structure of mixtures on the bulk powder behaviour will also be examined.

ER2, Dr Sebastian Gonzalez, will be hosted at Research Centre Pharmaceutical Engineering GmbH, Graz, Austria.

Dr Andreja Mirtič

The objectives are to develop a population balance model for analysing ribbon milling processes, and to investigate how the ribbon properties, mill type and milling conditions affect the granule size.

ER3, Dr Andreja Mirtič, will be hosted at AstraZeneca plc., Sweden.

Outputs

Conference publications

Authors

Title

Conference

T Breinlinger, A Hashibon, R Schubert and T. KraftSimulation of die filling for powders with complex rheologyProc. Partec 2016, Nuremberg, Germany, paper 1.36 (2016) 1-4.
C Bierwisch, R Schubert, T Kraft and C DehningDiscrete and finite element co-simulations - Modelling approach and application perspectivesProc. Partec 2016, Nuremberg, Germany, paper 1.24, 2016, 1-4.
A Hashibon, T Breinlinger, R Schubert and T KraftA new DEM contact-model for simulating die filling for powders with complex rheologyProc. World PM2016 Congress, Session 16: Compaction Simulation, European Powder Metallurgy Association, Shrewsbury, UK, ISBN 978-1-899072-47-7, 2016, 1-6.
V K Ojha, A Abraham and V SnaselMetaheuristic Tuning of Type-II Fuzzy Inference Systems for Data MiningIEEE World Congress on Computational Intelligence, International Conference on Fuzzy Systems (FUZZ-IEEE 2016), pp 610-617
L Zjavka, V Snasel, W Pedrycz and V K OjhaA Substitution of the General Partial Differential Equation with Extended Polynomial NetworksIEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks  (IJCNN 2016), pp 4819-4826
V K Ojha, A Abraham and V SnaselEnsemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (lactic-co-glycolic acid) micro- and nanoparticle

Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 155-165.

DOI 10.1007/978-3-319-29504-6_16

S Abdelwahab, V K Ojha and A AbrahamEnsemble of flexible neural trees for predicting risk in grid computing environment

Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015), 427, 2016, pp. 155-165.

DOI 10.1007/978-3-319-28031-8_13

S Abdelwahab, V K Ojha and A AbrahamNeuro-fuzzy risk prediction model for computational grids

Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 127-136.

DOI 10.1007/978-3-319-29504-6_13

N Ahmed, V K Ojha and A AbrahamAn ensemble of neuro-fuzzy model for assessing risk in cloud computing environment

Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), 419, 2016, pp. 27-36.

DOI 10.1007/978-3-319-27400-3_3

M H Khalid, P Kazemi, J Szlek, R Jachowicz and A MendykAssessing critical features for modeling powder flow: an empirical approachPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
L Orefice and A MazorA combined DEM & FEM modelling of powder flow and compaction during roll
pressing
PARTEC 2016, Nuremberg, Germany, April 19-21, 2016
V K Ojha and S SchianoMachine learning tools for modelling of powder mixingPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
K Csordas and A Pérez GagoRoll Compaction: The impact of system design and Scale upPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
S Loreti and A MirticMultiscale modelling of ribbon Milling: a DEM-PBM frameworkPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
H Zawbaa, L Pérez-Gandarillas and S SchianoFeature selection techniques for Roll CompactionPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
L Pérez-Gandarillas and S SchianoThe impact of roll compaction process on die filling and die compactionPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
R Schubert and Z YanDEM modelling of powder flow & powder-filling during die compactionPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
M H Khalid and P KazemiCI for solid dosage forms: modeling milling and die compaction processesPARTEC 2016, Nuremberg, Germany, April 19-21, 2016
P Kazemi, A Mirtic, G K Reynolds, M H Khalid, R Jachowicz and A MendykTransparent computational intelligence models for millingWorld meeting on Pharmaceutics, biopharmaceutics, and Pharmaceutical technology, Glasgow, UK, April 2016

AuthorTitleConference
A Tharwat, H M Zawbaa, T Gaber, A E Hassanien and V SnaselAutomated Zebrafish-based Toxicity Test using Bat Optimization and AdaBoost ClassifierIEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.
A I Hafez, A E Hassanien and H M ZawbaaHybrid Swarm Intelligence Algorithms for Feature Selection: Monkey and Krill Herd AlgorithmsIEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.
H M Zawbaa, A E Hassanien, E Emary, W Yamany and B PARVHybrid flower pollination algorithm with rough sets for feature selectionIEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.
K K A Ghany, H Ayeldeen, H M Zawbaa and O ShakerA Rough Set-based Reasoner for medical diagnosisIEEE International Conference on Green Computing and Internet of Things, India, September, 2015.
M H Khalid, P K Tuszynski, J Szlek, R Jachowicz and A MendykFrom black-box to transparent computational intelligence models: A pharmaceutical case study13th International Conference on Frontiers of Information Technology (FIT 2015), Islamabad, Pakistan, December 14-16, 2015.
M M Fouad, H M Zawbaa, T Gaber, V Snasel and A E HassanienA Fish Detection Approach Based on BAT Algorithm1st International Conference on Advanced Intelligent Systems and Informatics (AISI’15), Egypt, November 28-30, 2015.
E Emary, H M Zawbaa and B ParvFeature Selection Based on Antlion Optimization Algorithm3rd world conference on complex systems (WCCS15), Morocco, November 23-25, 2015.
H M Zawbaa, E Emary, A E Hassanien and B ParvA wrapper approach for feature selection based on swarm optimization algorithm inspired in the behavior of the social-spider7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.
A I Hafez, H M Zawbaa, E Emary and A E HassanienAn innovative approach for feature selection based on Chicken swarm optimization7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.
H Ayeldeen, K K A Ghany, H M Zawbaa and O ShakerA Rough Set-based Reasoner for medical diagnosisInternational Conference on Green Computing and Internet of Things (ICGCIoT 2015), India, 8-10 October, 2015.
Z Yan, S K Wilkinson, S A. Turnbull, E H Stitt, and M MarigoParametric evaluation for powder flowability using a Freeman rheometer: a discrete element method studyProceedings of the IV International Conference on Particle-Based Methods- PARTICLES 2015, Barcelona, 28-30 Sept, 2015.
L Perez-Gandarillas, A Perez-Gago, A Mazor,
P Kleinebudde, A Michrafy and O Lecoq
Impact of milling process conditions on the granule's properties: effect of milling speed and rotation  7th International Granulation Workshop, Sheffield, UK, 1-3 July 2015.
E Emary, H M Zawbaa, K Kamal, A Ghany, A E Hassanien and B. ParvFirefly Optimization Algorithm for Feature Selection7th Balkan Conference in Informatics (BCI 2015), ACM, Romania, 2-4 September, 2015.
W Yamany, H M Zawbaa, E Emary and A E HassanienModified Flower Pollination Algorithm for Attribute Reduction in ClassificationIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Turkey, 2-5 August, 2015.

AuthorTitleConference
V K Ojha, K Jackowski, V Snášel & A AbrahamDimensionality reduction and prediction of the protein macromolecule dissolution profileIBICA 2014, 5th International Conference on Innovations in Bio-Inspired Computing and Applications, Ostrava, Czech Republic, 23 - 25 June 2014.
P K Tuszynski, A Mendyk, S Polak, H Khalid & R JachowiczGeneralized in vitro - in vivo (IVIVC) correlation model based on genetic programming9th world meeting of Pharmaceutics, Biopharmaceutics, and Pharmaceutical technology, Lisbon, Portugal, 31 Mar - 3 April 2014.
V K Ojha, K Jackowski, A  Abraham and V SnaselFeature Selection and Ensemble of Regression models for Predicting the Protein Macromolecule Dissolution ProfileSixth World Congress on Nature and Biologically Inspired Computing (NaBIC), Page 121 126 978-1-4799-5937-2/14 2014 IEEE.
V K Ojha, A Abraham and V SnaselACO for Continuous Function Optimization: A Performance Analysis14th International Conference on Intelligent Systems Design & Applications (ISDA), Japan, Page 145 - 150 978-1-4799-7938-7/14 2014 IEEE.
V K Ojha, A Abraham and V SnaselSimultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics14th International Conference on Hybrid Intelligent Systems (HIS 2014) in Kuwait, 2014, Page 248- 243 978-1-4799-7633-1/14/ 2014 IEEE.
H M Zawbaa, M Abbass, M Hazman and A E HassanienAutomatic Fruit Classification Using Random Forest Algorithm14th International Conference on Hybrid Intelligent Systems (HIS 2014),  Kuwait, 14-16 December, 2014.
W Yamany, E Emary, H M Zawbaa and A E HassanienRough sets cuckoo search attribute reduction algorithm14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, 14-16 December, 2014.
E Emary, H M Zawbaa, C Grosan and A E HassanienFeature subset selection approach by Gray-wolf optimization1st International Afro-European Conference For Industrial Advancement (AECIA), Addis Ababa, Ethiopia, 17-19 November, 2014.
H M Zawbaa, M Abbass, S H Basha, M Hazman and A E HassenianAn Automatic Flower Classification Approach Using Machine Learning Algorithms3rd international conference on Advanced in Computing, Communications, and Informatics (ICACCI 2014), Delhi, India, 24-27 September, 2014.
A Mohamed, M M M Fouad, E Elhariri, N El-Bendary, H M Zawbaa, M Tahoun and A E HassanienRoadMonitor: An Intelligent Road Surface Condition Monitoring SystemIEEE Intelligent Systems (IS’14), Warsaw, Poland, 24-26 September, 2014.
A Pacławski, P Kazemi, J Szlęk, R L W Man, R Jachowicz and A MendykHeuristic modeling of fine particle fraction and optimization of formulation for pulmonary drug deliveryParticulate Processes in the Pharmaceutical Industry IV, 14-18.09.2014, Potsdam, Germany.
A I Hafez, H M Zawbaa, A E Hassanien, A A Fahmy, and V SnaselNetworks community detection using artificial bee colony swarm optimizationThe 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.
E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T AzarRetinal blood vessel segmentation using artificial bee colony optimization and pattern searchProc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.
E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T AzarRetinal vessel segmentation based on possibilistic fuzzy c-means clustering optimized with cuckoo searchProc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.
E Emary, H M Zawbaa, A E Hassanien, M F. Tolba, and V SnaselRetinal vessel segmentation based on flower pollination search algorithmThe 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.
H M Zawbaa, M Abbass, M Hazman and A E HassenianAutomatic Fruit Image Recognition System Based on Shape and Color Features2nd  International Conference on Advanced Machine Learning Technologies and Applications (AMLTA), Communications in Computer and Information Science, Vol. 488, pp. 278-290, 2014.

Journal papers

Authors

Title

Journal

L Orefice and J KhinastDEM study of granular transport in partially filled horizontal screw conveyorsPowder Technology, Volume 305, January 2017, Pages 347-356.
S K Wilkinson, S A Turnbull, Z Yan, E H Stitt, and M Marigo.A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) studyComputers & Chemical Engineering. 97, 2, 2017, 161–174.

Authors

Title

Journal

K Mateusz, K Woyna-Orlewicz, M H Khalid and R JachowiczOptimization of furosemide liquisolid tablets preparation process leading to their mass and size reductionActa Poloniae Pharmaceutica – Drug Research, 2016, 73, 5, pp. 1325-1331.
P Kazemi, M H Khalid, A Pérez Gago, P Kleinebudde, R Jachowicz, J Szlęk and A MendykEffect of roll compaction on granule size distribution of MCC-mannitol mixtures: computational intelligence modeling and parametric analysisDrug Design, Development, and Therapy, 2016 (Accepted).
M H Khalid, P Kazemi, L Perez-Gandarillas, A Michrafy, J Szlek, R Jachowicz and A MendykComputational Intelligence models to predict porosity of tablets using minimum featuresDrug Design, Development, and Therapy, 2016 (Accepted).
A Mirtič and G K ReynoldsDetermination of breakage rate and breakage mode of roller compacted pharmaceutical materials

Powder Technology, 298, 2016, 99–105.

DOI:10.1016/j.powtec.2016.04.033.

L Perez-Gandarillas, A Perez-Gago, A Mazor, P Kleinebudde, O Lecoq, and A MichrafyEffect of Roll-Compaction and Milling Conditions on Granules and Tablets PropertiesEuropean Journal of Pharmaceutics and Biopharmacbiobieutics, 2016, 106: 38-49.
A Krok, A Mirtic, G Reynolds, S Schiano, R Roberts and C Y WuAn experimental investigation of temperature rise during compaction of pharmaceutical powders

International Journal of Pharmaceutics, 2016, 513,  97-108.

http://dx.doi.org/10.1016/j.ijpharm.2016.09.012

Q Su, S Schiano, C Y Wu and C D RiellyDynamic impact milling model with a particle-scale breakage kernel.

Computer Aided Chemical Engineering, 2016, 38, 475-480.

http://dx.doi.org/10.1016/

A Hashibon, R Schubert, T Breinlinger and T KraftSimulations of history-dependent complex powder flow in die filling process

Computational Particle Mechanics, 3, 2016, 437-448.

DOI 10.1007/s40571-015-0099-7

Z Yan, S K Wilkinson, E H Stitt and M MarigoInvestigating mixing and segregation using discrete element modelling (DEM) in the Freeman FT4 rheometerInternational Journal of Pharmaceutics, 513, no. 1, 2016, 38-48
V K Ojha, Abraham, A., and Snášel, VEnsemble of Heterogeneous Flexible Neural Trees Using Multiobjective Genetic Programming

Applied Soft Computing, 2016,

http://dx.doi.org/10.1016/j.asoc.2016.09.035

E Emarya, H M Zawbaa and A E HassanienaBinary ant lion approaches for feature selection

Neurocomputing, July 2016,

dx.doi.org/10.1016/j.neucom.2016.03.101

E Emarym, H M Zawbaa, A E Hassanien and B ParvMulti-objective retinal vessel localization using flower pollination search algorithm with pattern searchAdvances in Data Analysis and Classification, May 2016, pp 1–17, DOI: 10.1007/s11634-016-0257-7
H M Zawbaa, J Szl, C Grosan, R Jachowicz and A MendykComputational Intelligence Modeling of the Macromolecules Release from PLGA
Microspheres - Focus on Feature Selection
PLOS ONE,  DOI:10.1371/journal.pone.0157610, June, 2016
P Kazemia, M H Khalid, J Szleka, A Mirtičb, G K Reynoldsb, R Jachowicza and A MendykComputational intelligence modeling of granule size distribution for oscillating milling

Powder Technology, Volume 301, 2016, 1252–1258.

dx.doi.org/10.1016/j.powtec.2016.07.046

P Bahramia, P Kazemib, S Mahdavic and H GhobadiA novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm

Fuel, Volume 179, 2016, 289–298,

dx.doi.org/10.1016/j.fuel.2016.03.095

J Szlek, A Paclawski, R Lau, R Jachowicz, P Kazemi and A MendykEmpirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs

Computer Methods and Programs in Biomedicine, Volume 134, 2016, 137–147,

dx.doi.org/10.1016/j.cmpb.2016.07.006

VK Ojha, S Schiano, C Wu, V Snasel and A AbrahamPredictive Modelling of Die Filling of the Pharmaceutical Granules Using the Flexible Neural Tree

Neural Computing and Applications, 2016.

DOI 10.1007/s00521-016-2545-8

V K Ojha, P Dutta and A ChaudhuriIdentifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study

Neural Computing and Applications, 2016.

DOI: 10.1007/s00521-016-2443-0

S Schiano, C Y Wu, A Mirtic and G ReynoldsA Novel Use of Friability Testing for Characterising Ribbon Milling Behaviour

European Journal of Pharmaceutics and Biopharmaceutics, 2016.

DOI: 10.1016/j.ejpb.2016.03.034

J Zhang, C Pei, S Schiano, D Heaps and C Y WuThe application of terahertz pulsed imaging in characterising density distribution of roll-compacted ribbons

European Journal of Pharmaceutics and Biopharmaceutics, 2016.

DOI: 10.1016/j.ejpb.2016.01.012

M H Khalid, P K Tuszyński, P Kazemi, J Szlek, R Jachowicz and A MendykTransparent computational intelligence models for pharmaceutical tableting process

Complex Adaptive Systems Modeling, 2016.

DOI: 10.1186/s40294-016-0019-6

H M Zawbaa, E Emary and C GrosanFeature selection via chaotic antlion optimization

PLoS ONE, 2016, Vol. 11, No. 3.

DOI: 10.1371/journal.pone.0150652

A Hashibon, R Schubert, T Breinlinger and T KraftA DEM contact model for history-dependent powder flows

Computational Particle Mechanics, January 2016, 1-12.

DOI: 10.1007/s40571-015-0099-7

A Pérez Gago and P KleinebuddeMCC–mannitol mixtures after roll compaction/dry granulation: percolation thresholds for ribbon microhardness and granule size distribution

Pharmaceutical Development and Technology (2016).

DOI: 10.3109/10837450.2016.1163388

A Mazor, L Perez-Gandarillas, A de Ryck and A MichrafyEffect of roll compactor sealing system designs: A finite element analysisPowder Technology, Volume 289, February 2016, 21-30.
S M Miraboutalebi, P Kazemi, P BahramiFatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and srticial neural networks: A new approachFuel (2016) 166, 143-151

AuthorTitleJournal
A Mendyk, P K Tuszyński, M H Khalid, R Jachowicz, and S PolakHow-To: Empirical IVIVR Without Intravenous DataDissolution Technologies (2015) 22:2, 12-18
Z. Yan, S.K. Wilkinson, E.H. Stitt and M. MarigoDiscrete Element Modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis

Computational Particle Mechanics, 2015.

DOI: 10.1007/s40571-015-0056-5

A E Hassanien, E Emary and H M ZawbaaRetinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern searchInternational Journal of Visual Communication and Image Representation, International Journal of Visual Communication and Image Representation, 2015, Vol. 31, 186-196,
E Emary, H M Zawbaa and A E HassanienBinary Gray Wolf Optimization Approaches for Feature SelectionInternational Journal of Neurocomputing, 2015, Vol. 172, 371-381
V.K. Ojha, K. Jackowski, A. Abraham and V. SnaselDimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro- and nanoparticle dissolution rateInternational Journal of Nanomedicine, 2015:10 1119-1129.
L P Gandarillas, A Mazor, D Souriou, O Lecoq and A Michrafy Compaction behaviour of dry granulated binary mixtures

Powder Technology, 2015.

DOI: 10.1016/j.powtec.2015.05.003

Courses and conferences

IPROCOM aims to develop a cohort of 15 young scientists with the necessary depth and breadth of experience combined with the research and transferable skills required to communicate and work effectively across disciplinary and sectoral boundaries in the field of particulate product manufacturing and process engineering.

IPROCOM will provide training on both the task-specific research skills and the generic and transferable skills through a combination of local, e-learning, network-wide and external training activities.

Contact us

  • Email:  ling.zhang@surrey.ac.uk

Find us

Address

Department of Chemical and Process Engineering
University of Surrey
Guildford
Surrey
GU2 7XH