M1 Master Nuclear Energy 29th June 2015

Slides:



Advertisements
Similar presentations
University of Minho School of Engineering Institute for Polymer and Composites Uma Escola a Reinventar o Futuro – Semana da Escola de Engenharia - 24 a.
Advertisements

Topics to be covered in this module
Hongjie Zhang Purge gas flow impact on tritium permeation Integrated simulation on tritium permeation in the solid breeder unit FNST, August 18-20, 2009.
Example: Electrokinetic valve
Dynamic model of a drop shot from an inkjet printer.
The analysis of the two dimensional subsonic flow over a NACA 0012 airfoil using OpenFoam is presented. 1) Create the geometry and the flap Sequence of.
A modified Lagrangian-volumes method to simulate nonlinearly and kinetically adsorbing solute transport in heterogeneous media J.-R. de Dreuzy, Ph. Davy,
Åbo Akademi University & TUCS, Turku, Finland Ion PETRE Andrzej MIZERA COPASI Complex Pathway Simulator.
Oxygen pathway in mammals: Modeling of the passage from air to blood. Benjamin Mauroy Laboratory MSC, University Paris 7 / CNRS - France.
Coupling Continuum Model and Smoothed Particle Hydrodynamics Methods for Reactive Transport Yilin Fang, Timothy D Scheibe and Alexandre M Tartakovsky Pacific.
Transport phenomena in chemical processes part II Michał Araszkiewicz PhD.
A Microfluidic System for Controlling Reaction Networks In Time Presented By Wenjia Pan.
Introduction to API Process Simulation
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
Lecture Objectives: Review discretization methods for advection diffusion equation Accuracy Numerical Stability Unsteady-state CFD Explicit vs. Implicit.
Results Conclusion C Results CFD study on heat transfer and pressure drop characteristics of an offset strip-fin heat exchanger in helium systems Objectives.
First Progress Report: 10/08/13.  Homebrewer wants to build a mash tun  Either moving to all-grain brewing for the first time, increasing home brewery.
1 electrowetting-driven digital microfluidic devices Frieder Mugele University of Twente Physics of Complex Fluids Fahong Li, Adrian Staicu, Florent Malloggi,
S.S. Yang and J.K. Lee FEMLAB and its applications POSTEC H Plasma Application Modeling Lab. Oct. 25, 2005.
BsysE595 Lecture Basic modeling approaches for engineering systems – Summary and Review Shulin Chen January 10, 2013.
James Sprittles BAMC 2007 Viscous Flow Over a Chemically Patterned Surface J.E Sprittles Y.D. Shikhmurzaev.
COMSOL Conference Prague 2006Page 1 Poisson equation based modeling of DC and AC electroosmosis Michal Přibyl & Dalimil Šnita Institute of Chemical Technology,
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
AMS 599 Special Topics in Applied Mathematics Lecture 5 James Glimm Department of Applied Mathematics and Statistics, Stony Brook University Brookhaven.
In-term project presentation by Kanish Jindal Modeling of chlorine contact chamber at West Lafayette treatment plant.
Development of an Active Micromixer by Dielectrophrosis Particle Manipulating 姓名:黃朝鴻 Chao-hong Huang 班級:奈米一甲 學號:MA11V108.
Multiscale analysis of gas absorption in liquids Wylock, Dehaeck, Mikaelian, Larcy, Talbot, Colinet, Haut Transfers, Interfaces and Processes (TIPs) Université.
Mass Transfer Coefficient
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 12.
CHAPTER 3 EXACT ONE-DIMENSIONAL SOLUTIONS 3.1 Introduction  Temperature solution depends on velocity  Velocity is governed by non-linear Navier-Stokes.
Optimization Of a Viscous Flow Between Parallel Plates Based On The Minimization Of Entropy Generation Presentation By Saeed Ghasemi.
Title: SHAPE OPTIMIZATION OF AXISYMMETRIC CAVITATOR IN PARTIALY CAVITATING FLOW Department of Mechanical Engineering Ferdowsi University of Mashhad Presented.
Finite Element Analysis
INTRODUCTION Many heat and mass transfer processes in column apparatuses may be described by the convection – diffusion equation with a volume reaction.
Ch 4 Fluids in Motion.
FLOW THROUGH GRANULAR BEDS AND PACKED COLUMN
FALL 2015 Esra Sorgüven Öner
Study of the gas-liquid CO 2 absorption in aqueous monoethanolamine solutions: development of a new experimental tool C. Wylock, S. Dehaeck, E. Boulay,
Presented by Adaptive Hybrid Mesh Refinement for Multiphysics Applications Ahmed Khamayseh and Valmor de Almeida Computer Science and Mathematics Division.
Distributed Resistances and Fan Models Chapter 4.
Kinetics and Reactor Design Kinetics and Reactor Design CHE-402 INSTRUCTOR: Dr. Nabeel Salim Abo-Ghander Chemical Reactions and Rate of Reactions Chapter.
© Ram Ramanan 2/22/2016 Commercial Codes 1 ME 7337 Notes Computational Fluid Dynamics for Engineers Lecture 4: Commercial Codes.
Lecture Objectives: Review discretization methods for advection diffusion equation –Accuracy –Numerical Stability Unsteady-state CFD –Explicit vs. Implicit.
Lecture Objectives: Define 1) Reynolds stresses and
1 Tom Edgar’s Contribution to Model Reduction as an introduction to Global Sensitivity Analysis Procedure Accounting for Effect of Available Experimental.
Counter-current flows in liquid-liquid boundary layers II. Mass transfer kinetics E. Horvath 1, E. Nagy 1, Chr. Boyadjiev 2, J. Gyenis 1 1 University.
COUPLED ANALYSES Chapter 7. Training Manual May 15, 2001 Inventory # Fluid-Structure Analysis “One Way” Analysis –Structural deformation effect.
Sensitivity Analysis for the Purposes of Parameter Identification of a S. cerevisiae Fed-batch Cultivation Sensitivity Analysis for the Purposes of Parameter.
Lecture Objectives: - Numerics. Finite Volume Method - Conservation of  for the finite volume w e w e l h n s P E W xx xx xx - Finite volume.
Materials Process Design and Control Laboratory MULTISCALE COMPUTATIONAL MODELING OF ALLOY SOLIDIFICATION PROCESSES Materials Process Design and Control.
University of Wisconsin -- Engine Research Center slide 1 Flamelet Modeling for the Diffusion Combustion in OpenFOAM ME 769 Final Project Presentation.
Separation Techniques Using Microfluidics
Unstructured Meshing Tools for Fusion Plasma Simulations
Date of download: 9/26/2017 Copyright © ASME. All rights reserved.
Objective Introduce Reynolds Navier Stokes Equations (RANS)
Hamdache Abderrazaq 1*, Belkacem Mohamed 1, Hannoun Nourredine 2
Peter Uzunov Associate professor , PhD Bulgaria, Gabrovo , 5300 , Stramnina str. 2 s:
Prepared BY: Helwan University Faculty Of Engineering
The inner flow analysis of the model
Multi-physics Simulation of a Wind Piezoelectric Energy Harvester Validated by Experimental Results Giuseppe Acciani, Filomena Di Modugno, Ernesto Mininno,
11th International Conference on Mechanical Engineering (ICME2015)
Combustor Model Simulation
Objective Review Reynolds Navier Stokes Equations (RANS)
The application of an atmospheric boundary layer to evaluate truck aerodynamics in CFD “A solution for a real-world engineering problem” Ir. Niek van.
Comparative Analysis of Parameters obtained while Simulating an Air-Pollution Episode Ana M. Lazarevska Faculty of Mechanical Engineering, Skopje University.
COMSOL Simulation of Air Pollutant Particle Transmission in a Building
Numerical Modeling of Fluid Droplet Spreading and Contact Angle Hysteresis Nikolai V. Priezjev, Mechanical Engineering, Michigan State University, MI
Objective Reynolds Navier Stokes Equations (RANS) Numerical methods.
Numerical Simulation of Immiscible Multiphase Flows Using
Introduction results Forced Convection Excel Linear Regression tool
Presentation transcript:

M1 Master Nuclear Energy 29th June 2015 Modelling and simulation of a microfluidic solvent extraction process using a CFD software M1 Master Nuclear Energy 29th June 2015 Student: Vera De la Cruz Gerardo Supervisors: Siméon Cavadias, Clarisse Mariet and Gérard Cote Referee: Eric Royer

Presentation display Global Objective Procedure Extraction Process and Microfluidics Difficulties and constraints CFD Software Flow Patterns tried Previous works Results Assumptions-Modelling Conclusions

General Objective Simulation of a solvent extraction process in a Y-Y shaped microfluidic device, using the COMSOL Multiphysics software.

Industry Laboratories Extraction Process Figure 1: Solvent extraction procedure with an additional Stripping step in the end. Source: Solvent Extraction Cours notes, Pr. D. Pareau, Ecole Centrale Paris fall 2014.

Why a microchip? Microfluidics  Small amounts of fluids ( 10 −18 − 10 −09 litres)  Dimensions of tens to hundreds of micrometers. Work with small volume Better performance with lower power Precise mixing/dosage Ease of disposing of device and fluids Can be integrated with other devices – lab on a chip Minimize dead space, void volume and sample carryover Reduce cost of reagents and power consumption High surface to volume ratio / Low Reynolds number

Features CFD software Dynamic interface Worldwide well-known software in the science field Constant improvement Specific websites and blogs Dynamic interface

Previous Research Works Research Cooperation Project HDR Clarisse Mariet M1 Student Sean Robertson

Geometry and assumptions used Constant all along the microchannel 𝜌 𝑎,𝑜 → 𝐷𝑒𝑛𝑠𝑖𝑡𝑦 𝜇 𝑎,𝑜 →𝐷𝑦𝑛𝑎𝑚𝑖𝑐 𝑣𝑖𝑠𝑐𝑜𝑠𝑖𝑡𝑦 𝜎→ 𝑆𝑢𝑟𝑓𝑎𝑐𝑒 𝑡𝑒𝑛𝑠𝑖𝑜𝑛 Defined for each one of the phases 𝐷 𝑈𝑟𝑎𝑛𝑖𝑢𝑚 → 𝐷 𝐶𝑜𝑚𝑝𝑙𝑒𝑥 → Uranium diffusion coefficient Complex diffusion coefficient

Complex Formation Reaction 𝑈 𝑂 2 𝐶𝑙 𝑛 2−𝑛 + 𝑛−2 𝑅 4 𝑁 + , 𝐶𝑙 − → 𝑅 4 𝑁 + 𝑛−2 𝑈 𝑂 2 𝐶𝑙 𝑛 2−𝑛 + 𝑛−2 𝐶𝑙 − for 𝑛≥3 Simplification 𝜕𝐶 𝜕𝑡 = 𝑘 1 𝐴−0.1709𝐶 A  Uranium concentration C  Complex concentration 𝑘 1  Mass transfer global coefficient Relation 𝑹 𝑼𝒓𝒂𝒏𝒊𝒖𝒎 =− 𝒌 𝟏 𝑨−𝟎.𝟏𝟕𝟎𝟗𝑪 𝑹 𝑪𝒐𝒎𝒑𝒍𝒆𝒙 = 𝒌 𝟏 𝑨−𝟎.𝟏𝟕𝟎𝟗𝑪 Uranium reaction rate Complex reaction rate

Physics Application modes Fluid Flow Laminar Two-Phase Flow Level Set Chemical Species Transport Transport of Diluted Species Laminar Two-Phase Flow Level Set  Laminar flow Moving interface Immiscibility. Transport of diluted Species  Diluted species diffusion phenomena Complexation reaction

Study steps Steady state

The solutions obtained from the software are based on three pillars HOW THE SOFTWARE WORKS? 1° Model Equations 2° Treatment of the Interface 3° Boundary conditions setting The solutions obtained from the software are based on three pillars

Table 1. Numerical stabilization parameters to be considered First difficulties No convergence Physical settings Numerical stabilization parameters Table 1. Numerical stabilization parameters to be considered Symbol Definition Parameter 𝛾 Reinitialization parameter 𝜖 𝑙𝑠 Parameter controlling interface thickness Memory and time Mesh optimization

Mesh Optimization Conditions to take into account Immiscibility between the organic and the aqueous phases Strong kinetics present in the interface region Conditions to take into account Sequence type: Physics-controlled mesh Element size: Extremely coarse Sequence type: Physics-controlled mesh Element size: Fine User-controlled mesh

Simulation models – flow patterns Two basic flow patterns can be defined for all fluid systems COUNTER CURRENT FLOW CO-CURRENT FLOW Internal Surface and Fluids properties Initial fluid Flow rates Dispersed Flow Continuous Co-current Flow Continuous Counter-current Flow

1) Co-current flow with moving interface, Laminar flow In a first trial the objective was to observe how the interface changed its appearance and to obtain the required time for its stabilization.

1) Co-current flow with moving interface, Laminar flow + chemical species transport Stationary study after the flow stabilization and a time dependent study in parallel with the laminar flow study.

Interface instability 2) Counter current flow Interface instability

2) Wettability and contact-angle This surface characteristic is defined by the surface wettability, characterized by the contact angle. Figure 2: Contact angle, graphic definition.

3) Co-current droplet formation Phase initialization  Droplet Formation  Kinetics reaction in the interface

3) Co-current droplet formation The variations of the Uranium and the Complex concentrations can be observed in next figures.

Conclusions The software utilized in the simulations executed in this report is a very useful tool that allows the users and researchers to obtain faster and cheaper results as compared to traditional experiments. The several scientific fields in which microfluidics are used allow the radiochemists to take advantage of the innovations and the constant research carried out with regards to this kind of technology. In previous works the phases interface had been considered fixed and the formation of droplets had not been studied. The results obtained for this last case in this report permit analyzing the essential characteristics of the extraction process in a microdevice for this flow pattern and are suitable to be modified for different parameters values. One of the next objectives in order to improve the yields of the microdevices is to calculate and verify the relation between the inlet uranium concentration and the length necessary to extract it. Although the surface hydrophobicity has been one of the topics more studied during the last years because of its relevance concerning the microfluidics the software available to date is not able to consider this aspect.

Thank you for your attention!