Coupled Electromagnetics- Multiphase Porous Media Model for Microwave Combination Heating

Similar documents
Modeling Flow and Deformation during Salt- Assisted Puffing of Single Rice Kernels. Tushar Gulati Cornell University 1

Multiphysics Modeling of Microwave Heating of Food Undergoing Heat, Mass and Momentum Transport

Modeling the Effect of Headspace Steam on Microwave Heating Performance of Mashed Potato

I. Borsi. EMS SCHOOL ON INDUSTRIAL MATHEMATICS Bedlewo, October 11 18, 2010

6.9 Applications of SolidLiquid Phase Change

Research Article Nonequilibrium Thermal Dynamic Modeling of Porous Medium Vacuum Drying Process

Simulating Microwave Heating of Rotating Object in Domestic Ovens

Numerical Study of a DC Electromagnetic Liquid Metal Pump: Limits of the Model Nedeltcho Kandev

MULTIPHASE TRANSPORT IN DEFORMABLE PHASE-CHANGING POROUS MATERIALS

An Introduction to COMSOL Multiphysics v4.3b & Subsurface Flow Simulation. Ahsan Munir, PhD Tom Spirka, PhD

Perforation Effect on a Rectangular Metal Hydride Tank at the Hydriding and Dehydriding Process

OPTIMIZATION OF TIME AND ROTATIONAL SPEED OF DISC FOR TINNED MILK USING NUMERICAL SIMULATIONS FOR UNIFORM HEAT DISTRIBUTION

CHAPTER 9 ELECTROMAGNETIC WAVES

MODELING THE ELECTROMAGNETIC FIELD

Advanced Heat and Mass Transfer by Amir Faghri, Yuwen Zhang, and John R. Howell

Modelling of Drying Tropical Fruits using Multiphase Model

Modeling the Process of Drying Stationary Objects inside a Tumble Dryer Using COMSOL Multiphysics

Introduction to Heat and Mass Transfer. Week 10

8.5 Film Condensation in Porous Media

Biological Process Engineering An Analogical Approach to Fluid Flow, Heat Transfer, and Mass Transfer Applied to Biological Systems

ECE 107: Electromagnetism

Effect of Gas Flow Rate and Gas Composition in Ar/CH 4 Inductively Coupled Plasmas

Numerical Study of a High Temperature Latent Heat Storage ( C) Using NaNO 3 -KNO 3 Binary Mixture

Transport processes. 7. Semester Chemical Engineering Civil Engineering

Modeling as a tool for understanding the MEA. Henrik Ekström Utö Summer School, June 22 nd 2010

MCQs E M WAVES. Physics Without Fear.

DISPERSION IN POROUS MEDIA FOR MULTICOMPONENT SYSTEMS. Introduction. Theory

Chapter 1 INTRODUCTION AND BASIC CONCEPTS

Solid Food Pasteurization by Ohmic Heating: Influence of Process Parameters

3D Electromagnetic Field Simulation in Microwave Ovens: a Tool to Control Thermal Runaway

5. Thermal Design. Objective: Control heat flow to: Maintain comfortable indoor conditions

Modeling of Humidification in Comsol Multiphysics 4.4

FINITE-DIFFERENCE FREQUENCY-DOMAIN ANALYSIS OF NOVEL PHOTONIC

1 Fundamentals of laser energy absorption

A NUMERICAL APPROACH FOR ESTIMATING THE ENTROPY GENERATION IN FLAT HEAT PIPES

Outline. Definition and mechanism Theory of diffusion Molecular diffusion in gases Molecular diffusion in liquid Mass transfer

Exploration COMSOL in Modeling RLSA TM CVD Processes

CFD in COMSOL Multiphysics

Microwave Frying Compared with Conventional Frying via Numerical Simulation

SIMULATION MODEL OF INDUCTION HEATING IN COMSOL MULTIPHYSICS

3D ELECTROMAGNETIC FIELD SIMULATION OF SILICON CARBIDE AND GRAPHITE PLATE IN MICROWAVE OVEN

Antennas and Propagation. Chapter 2: Basic Electromagnetic Analysis

Plasma Modeling with COMSOL Multiphysics

Electromagnetism Phys 3230 Exam 2005

Part I.

ESTABLISH THE DIELECTRIC PROPERTIES OF A NUMBER OF WOOD SPECIES FOR A RANGE OF FREQUENCIES, TEMPERATURES AND PRESSURES.

Electromagnetic optics!

Introduction to Heat and Mass Transfer. Week 9

Four Verification Cases for PORODRY

Goal: The theory behind the electromagnetic radiation in remote sensing. 2.1 Maxwell Equations and Electromagnetic Waves

Power Absorption of Near Field of Elementary Radiators in Proximity of a Composite Layer

SECM Study of Permeability of a Thiolated Aryl Multilayer and Imaging of Single Nanocubes Anchored to It

ECE 107: Electromagnetism

EELE 3332 Electromagnetic II Chapter 9. Maxwell s Equations. Islamic University of Gaza Electrical Engineering Department Dr.

DR.PRADIP DUTTA Department of Mechanical Engineering Indian Institute of Science Bangalore

Multiphysics modeling of warm-air drying of potatoes slices

Modeling of the Bread Baking Process Using Moving Boundary and Arbitrary-Lagrangian-Eulerian (ALE) C. Anandharamakrishnan, N. Chhanwal, P.

L UNAM Université, ONIRIS, CNRS, GEPEA, UMR6144, Nantes, F-44322, France.

Modeling Deep-Bed Grain Drying Using COMSOL Multiphysics

Thermal sensitive foils in physics experiments

ENTROPY GENERATION IN HEAT AND MASS TRANSFER IN POROUS CAVITY SUBJECTED TO A MAGNETIC FIELD

Electromagnetics in COMSOL Multiphysics is extended by add-on Modules

Electromagnetic Waves Retarded potentials 2. Energy and the Poynting vector 3. Wave equations for E and B 4. Plane EM waves in free space

Site Characterization & Hydrogeophysics

TRANSIENT NUMERICAL ANALYSIS OF INDUCTION HEATING OF GRAPHITE CRUCIBLE AT DIFFERENT FREQUENCY

Chapter 7. Time-Varying Fields and Maxwell s Equation

Level 7 Post Graduate Diploma in Engineering Heat and mass transfer

Convective drying : experimental campaign and numerical modelling

Radiative-Convective Models. The Hydrological Cycle Hadley Circulation. Manabe and Strickler (1964) Course Notes chapter 5.1

NMR Imaging in porous media

Temperature Dependent Dielectric and Thermal Properties of Whey Protein Gel

Chapter 12. Temperature and Heat. continued

COMPUTATIONAL ANALYSIS OF HEAT AND MASS TRANSFER DURING MICROWAVE DRYING OF TIMBER

LAMINAR FILM CONDENSATION ON A HORIZONTAL PLATE IN A POROUS MEDIUM WITH SURFACE TENSION EFFECTS

DEVELOPMENT OF A NUMERICAL APPROACH FOR SIMULATION OF SAND BLOWING AND CORE FORMATION

5.5 Transport Effects at the Interface

Diffusion and Adsorption in porous media. Ali Ahmadpour Chemical Eng. Dept. Ferdowsi University of Mashhad

Aggregation Kinetics of Colloidal Nanoparticles in a Circulating Microfluidic Cavity

High-Order FDTD with Exponential Time Differencing Algorithm for Modeling Wave Propagation in Debye Dispersive Materials

WUFI Workshop at NTNU /SINTEF Fundamentals

Phone: , For Educational Use. SOFTbank E-Book Center, Tehran. Fundamentals of Heat Transfer. René Reyes Mazzoco

Thermo-elastic Response of Cutaneous and Subcutaneous Tissues to Noninvasive Radiofrequency Heating

Heat Transfer Modeling using ANSYS FLUENT

CONVECTION HEAT TRANSFER

EM Thermal Co-Simulation

Plasma waves in the fluid picture I

Long-Term Performance of Borehole Heat Exchanger Fields with Groundwater Movement

Chapter 7. Time-Varying Fields and Maxwell s Equations

Studies on flow through and around a porous permeable sphere: II. Heat Transfer

Differential equations of mass transfer

Finite element analysis of the temperature field in a vertical MOCVD reactor by induction heating

Laser Beam Interactions with Solids In absorbing materials photons deposit energy hc λ. h λ. p =

TABLE OF CONTENTS CHAPTER TITLE PAGE

Numerical Analysis And Experimental Verification of a Fire Resistant Overpack for Nuclear Waste

Overview in Images. S. Lin et al, Nature, vol. 394, p , (1998) T.Thio et al., Optics Letters 26, (2001).

INFLUENCE OF JOULE THOMPSON EFFECT ON THE TEMPERATURE DISTRIBUTION IN VERTICAL TWO PHASE FLOW

Introduction to Mass Transfer

JPM. 1. Introduction. Excerpt from the Proceedings of the 2016 COMSOL Conference in Munich. requirement is the. through. efficient design of

HEAT TRANSFER 1 INTRODUCTION AND BASIC CONCEPTS 5 2 CONDUCTION

Thermal Systems. What and How? Physical Mechanisms and Rate Equations Conservation of Energy Requirement Control Volume Surface Energy Balance

Transcription:

Presented at the COMSOL Conference 2008 Boston Coupled Electromagnetics- Multiphase Porous Media Model for Microwave Combination Heating Vineet Rakesh and Ashim Datta Biological & Environmental Engineering Cornell University 2008 COMSOL Conference

Contents Introduction and objectives Fully coupled electromagneticsmultiphase porous media model Governing Equations Implementation Results Conclusions Ongoing Work

Goals Convection- Radiant Heating Microwave Heating Combination Heating Used for cooking Slow Processing Variables Heating Modes Power levels Cycling Fast and convenient Non-uniform heating Mostly used for reheating Food Factors Physical properties Thermal Dielectric Size Fast and convenient Can be used for cooking Can provide custom cooking ability Desired Product Uniform heating Crust formation Appropriate texture

Modeling Methods Primary Variables: microwave energy deposition, temperature, moisture, pressure Microwave heating (Electromagnetics) Model: Exponential decay(empirical)- 1D, 2D Maxwell s equations- 3D Variables: energy deposition- not valid in general energy deposition Increasing complexity (physics + geometry) Model: Heat Transfer only Variables: temperature Transport Heat and mass transfer (no pressure driven flow) temperature and moisture Increasing complexity (physics) Heat and mass transfer with pressure driven flow temperature, moisture, pressure, phase change Present work Fully Coupled Electromagnetics- Heat and Mass Transfer with pressure driven flow (multiphase porous media model) : in 3D

Process Description Microwave, hot air, radiant heating Multiphase transport in sample treated as a porous medium 1,2,3 Water bulk flow/convection capillary flow phase change Heat transfer (for the mixture) Sample Gas (Vapor + Air) bulk flow binary diffusion phase change Solid Element 1 Whitaker S., Advanced Heat Transfer, 13, 119-203 (1997) 2 Ni H., Datta, A. K. and Torrance, K. E., International Journal of Heat and Mass Transfer, 42, 1501-12 (1999) 3 Halder A., Dhall A., and Datta A. K., Food & Bioproducts Processing, 85, 209-19 (2007)

Governing equations: Electromagnetics Maxwell s equations: E= jωµ H H = jωεε E ( εe) = H = 0 0 Relative permittivity: 0 E = Electric field intensity H = Magnetic field intensity ω = microwave angular frequency dielectric loss ε = ε jε dielectric constant Boundary condition (oven walls): E tangential, oven wall = 0 Power absorbed (by the sample): Qmic 1 = ωε0ε E 2 2

Governing Equations: Multiphase Porous Media Model Momentum balance Darcy s Law: kk i ri, v i = µ i for water and gas (vapor/ air) P

G.E.- Mass balance Liquid phase (water): c w + ( nw ) n w Gas phase (vapor and air): c g t t ( ρ ) g vg + = I = I kk kk kk p = ρ P p = ρ P+ ρ S ( ) cap r r r w cap w w w µ µ µ Sw D w kk p r cap = cw = ρϕ w Sw ϕµ Sw cw + ( ρwvw ) = ( Dw cw) I t bulk flow flux phase change bulk flow phase change capillary phase flow change

G.E.- Mass balance (contd..) Vapor: 2 c v ( ) C + ρω g vv = ϕsg MMD a v eff, g xv + I g t ρg bulk flow ω + ω = 1 v mass fractions a Phase change # (evaporation/ condensation): M ( ) v, eq v v I = K p p RT binary diffusion (vapor and air) # Halder A., Dhall A., and Datta A. K., Food & Bioproducts Processing, 85, 209-19 (2007)

G.E.- Energy balance For the mixture: ( ) cc ( ) ( ), T + c, T = k T λi+ Q t n i i= swva,,, i p i i= wva,, p i eff mic Fluxes: n n n v a w = ρωv g g v = ρωv a = ρ v D c w w w, cap w water flux due to liquid pressure, P p Average thermal conductivity: g g bulk flow ( 1 ϕ) ϕ ( ω ω ) cap conduction { } k = k+ Sk + S k+ k eff s w w g v v a a phase change microwave source

Boundary Conditions Vapor convection P = n = P amb n = ρ u, when S = 1 w w w w v hc T k = ht ( T ) T T n nc nc oven v pv w m pw v when S w = 1 Insulated Sample Liquid pumping Hot air & radiant heating Oven at temp, T oven

Computational Scheme Microwave combination oven geometry Solve Maxwell s equations of Electromagnetics Source term for microwave heating Update dielectric properties Solve multiphase porous media model in the sample

Implementation Equations coupled using scripting in COMSOL Problems 3D first time- EM (~2.4M DOFs) and Porous media (~200k DOFs): 42 hrs for 10 min heating: 16 Gb RAM Different mesh and solver (stationary, transient, iterative/ direct) needed for the two physics To make equations implementable in COMSOL additions terms were addedconvergence problems

Computed Results Radiant & hot air Microwave(10s/50 on), radiant & hot air Temperature Moisture

Temperatures & moisture distributions after 10 min of heating Radiant & hot air Microwave(10s/50 on), radiant & hot air Temperature Moisture

Microwave combination heating increases the speed of heating while maintaing the uniformity

Conclusions First study - complex coupling of Maxwell s equations with a multiphase porous media model Optimum combination of heating parameters can be developed that can speed up the process and maintain heating uniformity at the same time Results can be used to develop design recommendations for combination heating for different thermal processes

Ongoing Work Experimental validation using Magnetic Resonance Imaging (MRI): UC Davis Coupled multiphase porous mediasolid mechanics model to study processes with large volume change (e.g. microwave puffing)

Acknowledgements USDA Grant GE for the oven Research group members(bee, Cornell University) Amit Halder Ashish Dhall

Questions? Thank You!