Shape, Convection and Convergence

Similar documents
Dimerization in a Tubular Reactor

Multiphysics Modeling

Generator. Introduction. Modeling in COMSOL Multiphysics

Peristaltic Pump. Introduction. Model Definition

Taylor Dispersion Created by Robert P. Hesketh, Chemical Engineering, Rowan University Fall 2005

Example Resistive Heating

Homework 4 in 5C1212; Part A: Incompressible Navier- Stokes, Finite Volume Methods

Mass Transfer in a Stirred Batch Reactor

Finite Element Modules for Enhancing Undergraduate Transport Courses: Application to Fuel Cell Fundamentals

An Overview of Impellers, Velocity Profile and Reactor Design

SIMULATION OF THE CONVECTIVE HEAT T W T TRANSFER AND WORKING TEMPERATURE FIELD OF A PHOTOVOLTAIC MODULE USING COMSOL MULTIPHYSICS

The energy performance of an airflow window

Validation of DNS techniques for dynamic combined indoor air and constructions simulations using an experimental scale model

Multiphysics Analysis of Electromagnetic Flow Valve

Boat Reactor for Low Pressure Chemical Vapor Deposition

Thermomagnetic Siphoning on a Bundle of Current-Carrying Wires

Heat Transfer in Crossflow Heat Exchangers for Application with Microreactors

Physics to PDE. Tutorial

Flow Focusing Droplet Generation Using Linear Vibration

Tutorial 11. Use of User-Defined Scalars and User-Defined Memories for Modeling Ohmic Heating

Thermo-Fluid Dynamics of Flue Gas in Heat Accumulation Stoves: Study Cases

Application of Solution Mapping to Reduce Computational Time in Actively Cooled Power Electronics

Tutorial for the heated pipe with constant fluid properties in STAR-CCM+

Surface Chemistry Tutorial

Application of COMSOL Multiphysics in Transport Phenomena Educational Processes

Cooling of a multi-chip power module

FEMLAB FEMLAB ECRE V ERSION 3.1

Supporting Information

Thermal Modeling of Chlorination Reactor

Modeling a Catalytic Converter in Comsol Multiphysics

Integrated Square-Shaped Spiral Inductor

Tutorial for the supercritical pressure pipe with STAR-CCM+

Entropic Evaluation of Dean Flow Micromixers

A Plasma Torch Model. 1. Introduction

Electromagnetic Forces on Parallel Current-

Tutorial: Premixed Flow in a Conical Chamber using the Finite-Rate Chemistry Model

TRANSIENT PROCESS SIMULATION OF HEAT TRANSFER IN LASER BEAM WELDING WITH AN EQUIVALENT HEAT SOURCE

The effect of different geometries on the thermal mantle convection

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

1 Solution of Electrostatics Problems with COM- SOL

Comparison between Honeycomb and Fin Heat Exchangers

Magnetic Drug Targeting in Cancer Therapy

Modeling PIN Photodiodes. Roger W. Pryor, Ph.D.,VP Research Pryor Knowledge Systems, Inc.

6. Expressions for Describing Steady Shear Non-Newtonian Flow

Elmer :Heat transfert with phase change solid-solid in transient problem Application to silicon properties. SIF file : phasechange solid-solid

This chapter focuses on the study of the numerical approximation of threedimensional

Analysis of the thermal heating of poly-si and a-si photovoltaic cell by means of Fem

Analysis of Mixing Chambers for the Processing of Two-Component Adhesives for Transport Applications

Helical Coil Flow: a Case Study

Packed Bed Reactor. Introduction. Model Definition

Mixing in Flow Devices:

This section develops numerically and analytically the geometric optimisation of

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

Mathematical Modeling of Displacements and Thermal Stresses in Anisotropic Materials (Sapphire) in Cooling

MAE 598 Project #1 Jeremiah Dwight

Simulation of Free Convection with Conjugate Heat Transfer

Laminar Forced Convection Heat Transfer from Two Heated Square Cylinders in a Bingham Plastic Fluid

Two Dimensional Orbital Mixing for a Fluid. Written by Shawn Lillie Supervised by Dr. Bruce Finlayson

CFD in COMSOL Multiphysics

Assignment 3: blood oxygen uptake. Lars Johansson IEI/mechanics Linköping university

Transient flow and heat equations - the Rayleigh-Benard instability

NUMERICAL MODELING OF TRANSIENT ACOUSTIC FIELD USING FINITE ELEMENT METHOD

Table of Contents i. Introduction to COMSOL Multiphysics iii. File Naming and Saving Conventions vii

Nicholas Cox, Pawel Drapala, and Bruce F. Finlayson Department of Chemical Engineering, University of Washington, Seattle, WA, USA.

Lecture 9 Thermal Analysis

The effect of Entry Region on Thermal Field

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

Excerpt from the Proceedings of the COMSOL Users Conference 2006 Boston

Exercise 1: Intro to COMSOL (revised)

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May ISSN

150A Review Session 2/13/2014 Fluid Statics. Pressure acts in all directions, normal to the surrounding surfaces

Computer Evaluation of Results by Room Thermal Stability Testing

COMSOL Multiphysics. Heat Transfer MODULE MODEL LIBRARY V ERSION 3.5

The Dynamic Steady State of an Electrochemically Generated Nanobubble

Prediction of Transformer Core Noise

AnalysisofElectroThermalCharacteristicsofaConductiveLayerwithCracksandHoles

Conference, Milan, Italy

Coupling Physics. Tomasz Stelmach Senior Application Engineer

Optimization of DPF Structures with a 3D-Unit Cell Model

Coolant. Circuits Chip

midas NFX 2015 R1 Release Note

Project #1 Internal flow with thermal convection

Possibilities of Using COMSOL Software in Physics

Part III. Dr. Scott R. Runnels. Databases Analyses Ladings Old TPS New TPS. Lading Properties Entry Meaning. AFFTAC Training Class

Microscopic Momentum Balance Equation (Navier-Stokes)

SIMULATION MODEL OF INDUCTION HEATING IN COMSOL MULTIPHYSICS

Analysis and Comparison of the Performance of Concurrent and Countercurrent Flow Heat Exchangers

A Magnetohydrodynamic study af a inductive MHD generator

Simulation of the Temperature Profile During Welding with COMSOL Multiphysics Software Using Rosenthal s Approach

Appendix F. + 1 Ma 1. 2 Ma Ma Ma ln + K = 0 (4-173)

Inverse Heat Flux Evaluation using Conjugate Gradient Methods from Infrared Imaging

Section 26.1: Reporting Conventions. Section 26.2: Fluxes Through Boundaries. Section 26.3: Forces on Boundaries

ME 431A/538A/538B Homework 22 October 2018 Advanced Fluid Mechanics

New Facilities for Multiphysics Modelling in Opera-3d version 16 By Chris Riley

Optimization of the Gas Flow in a GEM Tracker with COMSOL and TENDIGEM Development. Presented at the 2011 COMSOL Conference

Elmer. Introduction into Elmer multiphysics. Thomas Zwinger. CSC Tieteen tietotekniikan keskus Oy CSC IT Center for Science Ltd.

Structural Mechanics Module

Documentation of the Solutions to the SFPE Heat Transfer Verification Cases

Numerical Modelling of a Free-Burning Arc in Argon. A Tool for Understanding the Optical Mirage Effect in a TIG Welding Device

Faculty of Technology and Science Department of Physics and Electrical Engineering. Helena Johansson. Nocturnal cooling

Transcription:

Presented at the COMSOL Conference 2008 Boston Shape, Convection and Convergence,VP Research, Inc.

Who is?

Who is? We are: A Technical Consultation firm in business since 1993

Who is? We are: A Technical Consultation firm in business since 1993 Specialists in the Application of state-of-the-art technology and COMSOL Multiphysics Modeling to the solution of challenging problems Application of the unique properties of materials

Who is? We are: A Technical Consultation firm in business since 1993 Specialists in the Application of state-of-the-art technology and COMSOL Multiphysics Modeling to the solution of challenging problems Application of the unique properties of materials Located in Southeast Michigan

Overview: I. Why solve this particular free convection problem?

Overview: I. Why solve this particular free convection problem? II. How does a First Principles Analysis relate to this shape dependent model?

Overview: I. Why solve this particular free convection problem? II. How does a First Principles Analysis relate to this shape dependent model? III. How was the model built and solved?

Overview: I. Why solve this particular free convection problem? II. How does a First Principles Analysis relate to this shape dependent model? III. How was the model built and solved? IV. What benefits are derived from applying this modeling technique?

Defining the Geometry of the Tank Top : What is the B/A Ratio? Geometric Specifications Elliptical Tank Top : A-Semiaxis, B-Semiaxis

Introduction: I. New Shape-Dependent Convection Model Navier-Stokes Streamline Patterns generated by an Elliptically Shaped Tank Top

Introduction: I. New Shape-Dependent Convection Model II. 2D Axisymmetric Geometry Navier-Stokes Streamline Patterns generated by an Elliptically Shaped Tank Top

Introduction: I. New Shape-Dependent Convection Model II. III. 2D Axisymmetric Geometry New Model Based on examples presented in: thermos laminar hcoeff and thermos laminar flow (Heat Transfer Module Model Library (COMSOL 3.4)) Navier-Stokes Streamline Patterns generated by an Elliptically Shaped Tank Top

Introduction: I. New Shape-Dependent Convection Model II. III. IV. 2D Axisymmetric Geometry New Model Based on examples presented in: thermos laminar hcoeff and thermos laminar flow (Heat Transfer Module Model Library (COMSOL 3.4)) Shape Ratio (B/A) Varied by changes in the Elliptical Tank Top Navier-Stokes Streamline Patterns generated by an Elliptically Shaped Tank Top

Introduction: I. New Shape-Dependent Convection Model II. III. IV. 2D Axisymmetric Geometry New Model Based on examples presented in: thermos laminar hcoeff and thermos laminar flow (Heat Transfer Module Model Library (COMSOL 3.4)) Shape Ratio (B/A) Varied by changes in the Elliptical Tank Top V. Shape-Dependent Model Convergence determined by both Tank Top Shape (B/A Ratio) and Modified Solver Parameters Navier-Stokes Streamline Patterns generated by an Elliptically Shaped Tank Top

First Principles Applied to Fluid Flow I. Calculation of fluid flow behavior is a complex and mathematically difficult area to model.

First Principles Applied to Fluid Flow I. Calculation of fluid flow behavior is a complex and mathematically difficult area to model. II. First Principles Analysis determines predominant contributing factors.

First Principles Applied to Fluid Flow I. Calculation of fluid flow behavior is a complex and mathematically difficult area to model. II. First Principles Analysis determines predominant contributing factors. III. In this problem, the surface geometry (shape) of the top of the tank (B/A ratio) is the primary governing factor.

The Physics: I. Free Convection

The Physics: I. Free Convection II. Driving Forces: a) temperature differential

The Physics: I. Free Convection II. Driving Forces: a) temperature differential b) differential density

The Physics: I. Free Convection II. Driving Forces: a) temperature differential b) differential density c) geometry of the flow path

The Physics: I. Free Convection II. Driving Forces: a) temperature differential b) differential density c) geometry of the flow path d) gravitational force

The Physics: I. Free Convection II. Driving Forces: a) temperature differential b) differential density c) geometry of the flow path d) gravitational force III. Tank (water) Temperature

COMSOL Heat Transfer Model 1: Tank Top B/A Ratio = 1.0 2D Axisymmetric Heat Transfer Initialization Model Model 1 - Accurate Heat Transfer Results

COMSOL Navier-Stokes Model 2: Tank Top B/A Ratio = 1.0 2D Axisymmetric Free Convection Model Model 2 - Accurate Convection Results

Model Constants: Name Val ue Description k_insul 0.01[W/(m*K)] k (Insulation) p_atm 1[atm] Air pressure Length 0.4[m] Height of tank* T_water 95[degC] Water Temperature T_amb 20[degC] Ambient Temperature rho_insul 60[kg/m^3] Density (Insulation) Cp_insul 200[J/(kg*K)] Heat Capacity (Insulation) Length2 Width of Tank *This is the projected height and varies for different tank configurations: B(Semi-axis length) + Height (Tank Rectangle)

Model Scalar Expressions: Name F_buoyancy* rho_air_ref** Expression 9.81[m/s^2]*(rho_air_ref-rho_chns) mat2_rho(p_atm[1/pa],t_amb[1/k])[kg/m^3] *Buoyancy Force ** Density of Air @ STP

Setting up the Geometry for Models 1&2: Tank Top Configuration (TTC) # A[m] B[m] B/A Convergence 1 0.15 0.15 1 Yes 2 0.15 0.20 1.33 Yes 3 0.15 0.05 0.33 Yes 4 0.15 0.03 0.20 HT: Yes N-S: No 5 0.15 0.04 0.267 Yes 6 0.15 0.033 0.22 Yes Elliptical Tank Top Geometric Specifications

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] TTC1 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] TTC1 Models 1&2 B/A = 1.33 0.45[m] TTC2 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] TTC1 Models 1&2 B/A = 1.33 0.45[m] TTC2 Models 1&2 B/A = 0.33 0.30[m] TTC3 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] Models 1&2 B/A = 0.20 0.28[m] C = No TTC1 Models 1&2 B/A = 1.33 0.45[m] TTC2 Models 1&2 B/A = 0.33 0.30[m] TTC3 TTC4 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] TTC1 Models 1&2 B/A = 1.33 0.45[m] TTC2 Models 1&2 B/A = 0.33 0.30[m] TTC3 Models 1&2 B/A = 0.20 TTC4 Models 1&2 B/A = 0.267 TTC5 0.28[m] 0.29[m] C = No 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

The Models 1&2 Geometry: Models 1&2 B/A = 1 0.4[m] Models 1&2 B/A = 0.20 0.28[m] C = No TTC1 Models 1&2 B/A = 1.33 0.45[m] TTC2 Models 1&2 B/A = 0.33 0.30[m] TTC3 TTC4 Models 1&2 TTC5 Models 1&2 TTC6 B/A = 0.267 B/A = 0.22 0.29[m] 0.283[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Setting up the Physics Subdomain Model 1(HT): Subdomain # Source Material 1 BML** structural steel 2 Constants k_insul rho_insul Cp_insul 3 BML structural steel 5 BML Air* **(BML) Basic Materials Library *replace p with p_atm

Setting up the Physics Boundary Settings Model 1(HT): Boundary Condition Setting 8, 14, 20 Temperature T_water in T 0 edit window 23 Heat Flux Load h: Nat. Vertical wall, L=height Change L_htgh to Length Enter T_amb in T inf edit window 29 Heat Flux Load h: Nat Horiz. plane, Upside, L=width Change L_htgh to Length2 Enter T_amb in T inf edit window

Meshing and Solving Model 1(HT): Use the default Mesh and Solver Parameters Click Solve

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m]

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m] Model 1 B/A = 1.33 0.45[m]

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m] Model 1 B/A = 1.33 0.45[m] Model 1 B/A = 0.33 0.30[m]

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m] Model 1 B/A = 1.33 0.45[m] Model 1 B/A = 0.33 0.30[m] Model 1 B/A = 0.20 0.28[m]

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m] Model 1 B/A = 1.33 0.45[m] Model 1 B/A = 0.33 0.30[m] Model 1 B/A = 0.20 0.28[m] Model 1 B/A = 0.267 0.29[m]

Model 1(HT):Solutions Model 1 B/A = 1 0.4[m] Model 1 B/A = 1.33 0.45[m] Model 1 B/A = 0.33 0.30[m] Model 1 B/A = 0.20 0.28[m] Model 1 B/A = 0.267 0.29[m] Model 1 B/A = 0.22 0.283[m]

Model 2: Building a Navier-Stokes Multiphysics Model(s) Do the following steps for each of the HT configurations (1-6): Multiphysics> Model Navigator> Heat Transfer Module> Weakly Compressible Navier-Stokes> Steady-state analysis> Click Add> Click OK.

Setting up the Physics Subdomain in each Model 2 (N-S) configuration: Subdomain # Source Material 1-5 Inactive 6 BML Air* F z =F_buoyancy >Click the Density tab> **(BML) Basic Materials Library *replace rho(p[... with rho((p+p_atm)[...

Model 2: Physics Settings HT Subdomain Settings Do the following steps for each of the N-S configurations (1-6): Multiphysics>General Heat Transfer>Physics>Subdomain settings Select: Subdomain 6>Select the Active in this domain check box. Select: Air fromthe Library material list.

Model 2: Physics Settings HT Subdomain Settings Do the following steps for each of the N-S configurations (1-6): Multiphysics>General Heat Transfer>Physics>Subdomain settings Select: Subdomain 6>Select the Active in this domain check box. Select: Air fromthe Library material list. Click the Convection tab. Select: Enable convective heat transfer check box. Replace: rho(p[... with rho((p+p_atm)[... In the Density edit window. Click Apply Enter: u and v in the Velocity field edit windows.

Model 2: Physics Settings HT Subdomain Settings Do the following steps for each of the N-S configurations (1-6): Multiphysics>General Heat Transfer>Physics>Subdomain settings Select: Subdomain 6>Select the Active in this domain check box. Select: Air fromthe Library material list. Click the Convection tab. Select: Enable convective heat transfer check box. Replace: rho(p[... with rho((p+p_atm)[... In the Density edit window. Click Apply Enter: u and v in the Velocity field edit windows. Click the Artificial Diffusion button. Select: Streamline diffusion check box. Select: Galerkin least-squares (GLS) from the list.

Model 2: Physics Settings HT Boundary Conditions Do the following steps for each of the N-S configurations (1-6): Select: Multiphysics> General Heat Transfer> Physics>Boundary Settings. 18 19 Boundary Condition 18 Axial Symmetry 25 19 Convective Flux 24 Thermal Insulation 25 Temperature Enter T_amb in the T 0 edit window 24

Model 2: Physics Settings N-S Boundary Conditions Do the following steps for each of the N-S configurations (1-6): Select: Multiphysics> Weakly Compressible Navier-Stokes>Boundary Settings. Boundary Boundary Type Boundary Condition 18 Symmetry boundary Axial Symmetry 19 Outlet Normal stress f 0 to 0 25 Open boundary Normal stress f 0 to 0 23, 24, 29 Wall No slip

Model 2 Mesh Generation: Select: Mesh>Free Mesh Parameters Select: Subdomain tab In the Subdomain selection window, Select: Subdomain 6 > Enter 0.005 in the Subdomain mesh parameters edit window> Select: Quad> Click the Remesh button> Click OK Quad Mesh generated for an Elliptically Shaped Tank Top B/A = 1.0

Solver Parameters: Click the Stationary tab Select: Damped Newton, Highly nonlinear problem, Manual tuning of damping parameters Check boxes

Solver Parameters: Click the Stationary tab Select: Damped Newton, Highly nonlinear problem, Manual tuning of damping parameters Check boxes Enter: Relative tolerance 1.0E-2 Maximum iterations 50 Initial damping factor 1.0E-4 Minimum damping factor 1.0E-12

Solver Parameters: Click the Stationary tab Select: Damped Newton, Highly nonlinear problem, Manual tuning of damping parameters Check boxes Enter: Relative tolerance 1.0E-2 Maximum iterations 50 Initial damping factor 1.0E-4 Minimum damping factor 1.0E-12 Click Advanced tab Type of scaling Click OK Select: Solve none

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] Models 2 B/A = 1.33 0.45[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] Models 2 B/A = 1.33 0.45[m] Model 2 B/A = 0.33 0.30[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] Models 2 B/A = 1.33 0.45[m] Model 2 B/A = 0.33 0.30[m] Model 2 B/A = 0.20 0.28[m] C = No 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] Models 2 B/A = 1.33 0.45[m] Model 2 B/A = 0.33 0.30[m] Model 2 B/A = 0.20 0.28[m] C = No Model 2 B/A = 0.267 0.29[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Navier-Stokes Free Convection Solutions: Models 2 B/A = 1 0.4[m] Models 2 B/A = 1.33 0.45[m] Model 2 B/A = 0.33 0.30[m] Model 2 B/A = 0.20 0.28[m] C = No Model 2 B/A = 0.267 0.29[m] Model 2 B/A = 0.22 0.283[m] 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Conclusions Model 2 B/A = 0.22 0.283[m] Model 2 B/A = 0.20 0.28[m] Successful implementation of a model is dependent on small parametric differences. Non-Convergent Convergent 2D Axisymmetric Elliptical Tank Top Model Cross-Sections

Thank you!