Nida SHEIBAT -OTHMAN

Chargée de Recherches

  • Procédés d'Elaboration du Solide

Génie des procédés, suivi en ligne contrôle/observation, Procédés de polymérisation, Emulsification, Bilans de population, Encapsulation


Bureau 1 LAGEP Université Claude Bernard Lyon 1, bât 308G ESCPE-Lyon, 43 bd du 11 Novembre 1918 G225 Villeurbanne 69622 France

Fax bureau 1: 04 72 43 16 99Téléphone bureau 1: 04 72 43 18 50


Site internet: http://hal.archives-ouvertes.fr/NIDA-SHEIBAT-OTHMAN

Bio

Nida Sheibat Othman received her M. Sc. degree in automatic control (Lyon 1997). She received her PhD in chemical Engineering in 2000, in the University of Lyon. Since 2002 she is a CNRS researcher at LAGEP, in the University of Lyon in the domain of modeling, monitoring and control of chemical plants. Her main research interests are multiscale modeling, population balance modeling, online sensors, monitoring using observers as well as data-based methods, and nonlinear control.

Drop size distribution monitoring of oil-in-water emulsions in SMX+ static mixers: Effect of operating and geometrical conditions

date:2017
références bibliographiques:

CHABANON, Elodie, Nida SHEIBAT -OTHMAN, O. Mdere, Jean-Pierre VALOUR, Sebastien URBANIAK, and F. Puel. “Drop Size Distribution Monitoring of Oil-in-Water Emulsions in SMX+ Static Mixers: Effect of Operating and Geometrical Conditions.” 92 (June 2017): 61–69. doi:10.1016/j.ijmultiphaseflow.2017.03.001.
Pages:61-69

International Journal of Multiphase Flow

 

Is Modeling the PSD in Emulsion Polymerization a Finished Problem? An Overview

date:2017
références bibliographiques:

SHEIBAT -OTHMAN, Nida, Hugo M. Vale, Jordan M. Pohn, and Timothy F. L. McKenna. “Is Modeling the PSD in Emulsion Polymerization a Finished Problem? An Overview.” , 2017, 1600059. doi:10.1002/mren.201600059.
Pages:1600059

Macromolecular Reaction Engineering

 

Coupling of CFD Simulations and Population Balance Modeling to Predict Brownian Coagulation in an Emulsion Polymerization Reactor

date:2017
références bibliographiques:

Aryafar, Solmaz, Nida SHEIBAT -OTHMAN, and Timothy F. L. McKenna. “Coupling of CFD Simulations and Population Balance Modeling to Predict Brownian Coagulation in an Emulsion Polymerization Reactor.” , 2017, 1600054. doi:10.1002/mren.201600054.
Pages:1600054

Macromolecular Reaction Engineering

 

Physical explanations about the improvement of PolyHydroxyButyrate ductility: Hidden effect of plasticizer on physical ageing

date:2016
références bibliographiques:

Crétois, R., J.M. Francois, Nida SHEIBAT -OTHMAN, Alexandre Monnier, C. Martin, O. Astruz, R. Kirusu, and N.R. Demarquette. “Physical Explanations about the Improvement of PolyHydroxyButyrate Ductility: Hidden Effect of Plasticizer on Physical Ageing” 102 (2016): 176–82.
Pages:176-182

 

Modelling particle growth under saturated and starved conditions in emulsion polymerization

date:2016
références bibliographiques:

Brunier, Barthélémy, Nida SHEIBAT -OTHMAN, Sami Othman, Yves Chevalier, and Elodie Bourgeat-Lami. “Modelling Particle Growth under Saturated and Starved Conditions in Emulsion Polymerization.” , 2016. doi:10.1002/cjce.22640.

The Canadian Journal of Chemical Engineering

 

Partitioning of Laponite Clay Platelets in Pickering Emulsion Polymerization

date:2016
références bibliographiques:

Brunier, Barthélémy, Nida SHEIBAT -OTHMAN, Yves Chevalier, and Elodie Bourgeat-Lami. “Partitioning of Laponite Clay Platelets in Pickering Emulsion Polymerization.” 32, no. 1 (2016): 112–24. doi:10.1021/acs.langmuir.5b03576.
Pages:112-124

Langmuir

 

Investigation of Four Different Laponite Clays as Stabilizers in Pickering Emulsion Polymerization

date:2016
références bibliographiques:

Brunier, Barthélémy, Nida SHEIBAT -OTHMAN, Mehdi Chniguir, Yves Chevalier, and Elodie Bourgeat-Lami. “Investigation of Four Different Laponite Clays as Stabilizers in Pickering Emulsion Polymerization.” , 2016. doi:10.1021/acs.langmuir.6b01080.

Langmuir

 

Preparation and characterization of biodegradable polyhydroxybutyrate-co-hydroxyvalerate/polyethylene glycol-based microspheres

date:2016
références bibliographiques:

Monnier, Alexandre, Charlotte Rombouts, Dania Kouider, Imad About, Hatem Fessi, and Nida SHEIBAT -OTHMAN. “Preparation and Characterization of Biodegradable Polyhydroxybutyrate-Co-Hydroxyvalerate/polyethylene Glycol-Based Microspheres.” 513, no. 1–2 (2016): 49–61. doi:10.1016/j.ijpharm.2016.08.066.
Pages:49-61

International Journal of Pharmaceutics

 

Numerical Solution of the Drop Population Balance Equation Using Weighted Residual and Finite Volume Methods

date:2016
références bibliographiques:

Solsvik, Jannike, Per J. Becker, Nida SHEIBAT -OTHMAN, and Hugo A. Jakobsen. “Numerical Solution of the Drop Population Balance Equation Using Weighted Residual and Finite Volume Methods.” 37, no. 1 (2016): 80–88. doi:10.1080/01932691.2015.1028550.
Pages:80-88

Journal of Dispersion Science and Technology

 

A New Methodology for Measuring the Stability of Emulsion Polymer Particles

date:2016
références bibliographiques:

Méndez-Ecoscia, Ana C., André F. Prates-Pereira, Margarida B. Fonseca-Marques, Nida SHEIBAT -OTHMAN, and Timothy F. L. McKenna. “A New Methodology for Measuring the Stability of Emulsion Polymer Particles.” 360, no. 1 (2016): 142–51. doi:10.1002/masy.201500097.
Pages:142-151

Macromolecular Symposia

 

Poly(hydroxybutyrate-co-hydroxyvalerate) microspheres for the encapsulation and controlled release of heparin

date:2016
références bibliographiques:

Monnier, Alexandre, Nida SHEIBAT -OTHMAN, J.M. Chenal, A. Martins Dos Santos, and H. Fessi. “Poly(hydroxybutyrate-Co-Hydroxyvalerate) Microspheres for the Encapsulation and Controlled Release of Heparin.” 5, no. 1 (2016).

Journal of Colloid Science and Biotechnology

 

Viscous Drop Breakage in Liquid–Liquid Stirred Dispersions: Population Balance Modeling

date:2015
références bibliographiques:

Solsvik, Jannike, Per Julian Becker, Nida SHEIBAT -OTHMAN, Itishree Mohallick, Reza Farzad, and Hugo A. Jakobsen. “Viscous Drop Breakage in Liquid–Liquid Stirred Dispersions: Population Balance Modeling.” 36, no. 4 (2015): 577–94. doi:10.1080/01932691.2014.910471.
Pages:577-594

Journal of Dispersion Science and Technology

 

Coupled population balance–CFD simulation of droplet breakup in a high pressure homogenizer

date:2014
références bibliographiques:

Becker, Per Julian, François Puel, Arend Dubbelboer, Jo Janssen, and Nida SHEIBAT -OTHMAN. “Coupled Population balance–CFD Simulation of Droplet Breakup in a High Pressure Homogenizer.” 68 (2014): 140–50. doi:10.1016/j.compchemeng.2014.05.014.
Pages:140-150

Computers & Chemical Engineering

 

Development of a CFD-PBE coupled model for the simulation of the drops behaviour in a pulsed column

date:2014
références bibliographiques:

Amokrane, Abdenour, Sophie Charton, Nida SHEIBAT -OTHMAN, Julian Becker, Jean P. Klein, and Francois Puel. “Development of a CFD-PBE Coupled Model for the Simulation of the Drops Behaviour in a Pulsed Column.” 92 (2014): 220–33. doi:10.1002/cjce.21933.
Pages:220-233

The Canadian Journal of Chemical Engineering

 

Evaluation of breakage kernels for liquid-liquid systems: Solution of the population balance equation by the least-squares method

date:2014
références bibliographiques:

Solsvik, Jannike, Zsolt Borka, Per Julian Becker, Nida SHEIBAT -OTHMAN, and Hugo A. Jakobsen. “Evaluation of Breakage Kernels for Liquid-Liquid Systems: Solution of the Population Balance Equation by the Least-Squares Method.” 92, no. 2 (2014): 234–49. doi:10.1002/cjce.21876.
Pages:234-249

The Canadian Journal of Chemical Engineering

 

Support vector machines combined to observers for fault diagnosis in chemical reactors

A hybrid data/model-based approach is proposed for fault detection and isolation for chemical reactions in jacketed stirred vessels. Using data-based methods in high nonlinear systems requires training data to include a wide range of varying operations to ensure correct fault isolation. If such data is not available, a model-based approach can be used to enhance fault isolation. But, observers require a relatively precise process model, which is also not always available. In this work, we propose to combine an observer with statistical data-based methods (support vector machines, SVM) for fault detection in order to avoid at the time precise process modelling (necessary for model-based approach) and great number of training data (necessary for data-based approach). An interesting case study that falls in this category is a chemical stirred tank reactor, with high nonlinear reactions. Therefore, a simplified process model is used as a starting point to develop an observer for fault isolation. The used process model is corrected using information from SVM when no fault is detected. The methodology is validated experimentally in lab-scale and pilot-scale polymerisation reactors. For processes with linear dynamics, model-free SVM classification was found sufficient to detect and isolate sensor and actuator faults.

date:2014
références bibliographiques:

SHEIBAT -OTHMAN, Nida, Nassim Laouti, Jean-Pierre Valour, and Sami Othman. “Support Vector Machines Combined to Observers for Fault Diagnosis in Chemical Reactors.” 92 (2014): 685–95. doi:10.1002/cjce.21881.
Pages:685-695

The Canadian Journal of Chemical Engineering

 

A 2-D observer to estimate the reaction rate in a stopped flow fixed bed reactor for gas phase olefin polymerization

date:2014
références bibliographiques:

Browning, Barbara, Nida SHEIBAT -OTHMAN, Isabelle Pitault, and Timothy F. L. McKenna. “A 2-D Observer to Estimate the Reaction Rate in a Stopped Flow Fixed Bed Reactor for Gas Phase Olefin Polymerization.” 60, no. 10 (2014): 3511–23. doi:10.1002/aic.14538.
Pages:3511-3523

AIChE Journal

 

Combination of a Model-Based Observer and Support Vector Machines for Fault Detection of Wind Turbines

date:2014
références bibliographiques:

Laouti, Nassim, Sami Othman, Mazen Alamir, and Nida SHEIBAT -OTHMAN. “Combination of a Model-Based Observer and Support Vector Machines for Fault Detection of Wind Turbines.” , 2014.

International Journal of Automation and Computing

 

On the solution of the dynamic population balance model describing emulsification: Evaluation of weighted residual methods

date:2014
références bibliographiques:

Solsvik, Jannike, Per J. Becker, Nida SHEIBAT -OTHMAN, and Hugo A. Jakobsen. “On the Solution of the Dynamic Population Balance Model Describing Emulsification: Evaluation of Weighted Residual Methods.” 92, no. 2 (2014): 250–65. doi:10.1002/cjce.21875.
Pages:250-265

The Canadian Journal of Chemical Engineering

 

Development of an Improved Breakage Kernel for High Dispersed Viscosity Phase Emulsification

date:2014
références bibliographiques:

Becker, Julian, Francois Puel, Hugo Atle Jakobsen, and Nida SHEIBAT -OTHMAN. “Development of an Improved Breakage Kernel for High Dispersed Viscosity Phase Emulsification.” 109 (2014): 326–38. doi:10.1016/j.ces.2014.02.008.
Pages:326-338

Chemical Engineering Science

 

Population balance model: Breakage kernel parameter estimation to emulsification data

date:2014
références bibliographiques:

Solsvik, Jannike, Per J. Becker, Nida SHEIBAT -OTHMAN, and Hugo A. Jakobsen. “Population Balance Model: Breakage Kernel Parameter Estimation to Emulsification Data.” , 2014. doi:10.1002/cjce.21928.

The Canadian Journal of Chemical Engineering

 

Monitoring silicone oil droplets during emulsification in stirred vessel: Effect of dispersed phase concentration and viscosity

date:2014
références bibliographiques:

Becker, Per Julian, François Puel, Yves Chevalier, and Nida SHEIBAT -OTHMAN. “Monitoring Silicone Oil Droplets during Emulsification in Stirred Vessel: Effect of Dispersed Phase Concentration and Viscosity.” 92 (2014): 296–306. doi:10.1002/cjce.21885.
Pages:296-306

The Canadian Journal of Chemical Engineering

 

Usefulness of Controlled Release of Growth Factors in Investigating the Early Events of Dentin-pulp Regeneration

date:2013
références bibliographiques:

Mathieu, Sylvie, Charlotte Jeanneau, Nida SHEIBAT -OTHMAN, Nader Kalaji, Hatem FESSI, and Imad About. “Usefulness of Controlled Release of Growth Factors in Investigating the Early Events of Dentin-Pulp Regeneration.” 39, no. 2 (2013): 228–35. doi:10.1016/j.joen.2012.11.007.
Pages:228-235

Journal of Endodontics

 

Dynamic modelling of a stopped flow fixed bed reactor for gas phase olefin polymerisation

date:2012
références bibliographiques:

Browning, B., I. Pitault, Nida SHEIBAT -OTHMAN, E. Tioni, V. Monteil, and T.F.L. McKenna. “Dynamic Modelling of a Stopped Flow Fixed Bed Reactor for Gas Phase Olefin Polymerisation.” 207–8 (2012): 635–44. doi:10.1016/j.cej.2012.07.027.
Pages:635-644

Chemical Engineering Journal

 

Inferential MIMO predictive control of the particle size distribution in emulsion polymerization

A new inferential 2-step multiple input/multiple output (MIMO) model predictive control (MPC) of the particle size distribution (PSD) in emulsion polymerization processes is proposed. The bulk-like model describing the PSD is used with the material balances of initiator, radicals, monomer and surfactant. The inferential 2-step control strategy uses two measurements available online (without delay): the concentration of surfactant in the aqueous phase by conductimetry, and the concentration of monomer by calorimetry. In a first step, the optimal trajectory of surfactant concentration leading to the target PSD is calculated offline. In a second step, a multivariable model predictive control manipulates online the monomer and surfactant flow rates in order to track the precalculated surfactant concentration trajectory and to maximise the monomer concentration in the polymer particles in a constrained set-point tracking. Two control strategies are compared (nonlinear MPC and linearized MPC) with and without modelling errors.

date:2012
références bibliographiques:

Da Silva, Bruno, Pascal Dufour, Nida SHEIBAT -OTHMAN, and Sami Othman. “Inferential MIMO Predictive Control of the Particle Size Distribution in Emulsion Polymerization.” 38 (2012): 115–25. doi:10.1016/j.compchemeng.2011.11.003.
Pages:115-125

Computers & Chemical Engineering

 

Colloidal and physicochemical characterization of proteincontaining poly(lactide-co-glycolide) (PLGA) microspheres before and after drying

AbstractIn the present work, the double emulsion (W/O/W) method was used to microencapsulate a protein model (Bovine Serum Albumin) in a biodegradable polymer poly(lactide-co-glycolide) (50:50) (PLGA). Colloidal and physicochemical characterization of PLGA based microspheres was investigated after their “crude” preparation and after drying and redispersion processes. Particle morphology and size were studied by scanning electron microscopy and by laser diffraction analysis. Electrokinetic study and colloidal stability were also studied as a function of pH and salinity of the medium. Atomic force microscopy (AFM) was used to study the surface properties. It was found that smooth microspheres were obtained after the drying process. The Atomic force microscopy results of microspheres stored for one month in water show softness and surface irregularity caused by the microspheres degradation. The colloidal stability of theses microspheres is mainly governed by repulsive electrostatic interaction due to the PLGA charge. The used amount of stabilizing agent poly(vinyl alcohol) (PVA) is low enough to ensure the sterical stabilization. Drying process has no effect on the surface properties and colloidal stability of the prepared microspheres.

date:2009
références bibliographiques:

Kalaji, Nader, Nida Sheibat-Othman, Hassan Saadaoui, Abdelhamid Elaissari, and Hatem Fessi. “Colloidal and Physicochemical Characterization of Proteincontaining Poly(lactide-Co-Glycolide) (PLGA) Microspheres before and after Drying.” 9, no. 1 (2009): 110–21. http://www.degruyter.com/view/j/epoly.2009.9.issue-1/epoly.2009.9.1.110/epoly.2009.9.1.110.xml?format=INT.
Pages:110-121

e-Polymers