Numerical modeling example A simple s teel reheat furnace model – pg. 102-107 Reheat furnace Hot steel slabRolling mill Final product.

Slides:



Advertisements
Similar presentations
Associazione EURATOM ENEA sulla FUSIONE CONSEN A COMPUTER PROGRAM FOR TRANSIENT SIMULATION OF ENERGY AND MASS TRANSFER BETWEEN INTERCONNECTED VOLUMES DEVELOPED.
Advertisements

Fourier’s Law and the Heat Equation
Computational Modeling for Engineering MECN 6040
PROCESS MODELLING AND MODEL ANALYSIS © CAPE Centre, The University of Queensland Hungarian Academy of Sciences Analysis of Dynamic Process Models C13.
Basic law of heat conduction --Fourier’s Law Degree Celsius.
Thermal Analysis of a 1 Hour Fire Resistive Joint Design for Architectural Expansion Joints Preliminary Final Report Jason Shaw.
Temperature, Heat, and the First Law of Thermodynamics
Günther Zängl, DWD1 Improvements for idealized simulations with the COSMO model Günther Zängl Deutscher Wetterdienst, Offenbach, Germany.
Heat Transfer Chapter 2.
Thermal Performance Analysis of A Furnace
The structure and evolution of stars
Chapter 2: Overall Heat Transfer Coefficient
Finite Element Method (FEM) Different from the finite difference method (FDM) described earlier, the FEM introduces approximated solutions of the variables.
Energy in Thermal Processes
Chapter 3 Steady-State Conduction Multiple Dimensions
CHE/ME 109 Heat Transfer in Electronics LECTURE 12 – MULTI- DIMENSIONAL NUMERICAL MODELS.
CHE/ME 109 Heat Transfer in Electronics LECTURE 10 – SPECIFIC TRANSIENT CONDUCTION MODELS.
Laser Treatment Modeling Capabilities at Rensselaer-Hartford Ernesto Gutierrez-Miravete Rensselaer at Hartford
CHE/ME 109 Heat Transfer in Electronics LECTURE 11 – ONE DIMENSIONAL NUMERICAL MODELS.
One Dimensional Steady Heat Conduction problems P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi Simple ideas for complex.
SECTION 3 CHANGES IN TEMPERATURE AND PHASE Chapter 10.
Introduction to API Process Simulation
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
Chapter 5 NUMERICAL METHODS IN HEAT CONDUCTION
Chapter 4 Unsteady-State Conduction
Lecture Objectives: Review discretization methods for advection diffusion equation Accuracy Numerical Stability Unsteady-state CFD Explicit vs. Implicit.
CHAPTER 7 NON-LINEAR CONDUCTION PROBLEMS
Tutorial 5: Numerical methods - buildings Q1. Identify three principal differences between a response function method and a numerical method when both.
Heat Transfer in Structures
STEADY HEAT TRANSFER AND THERMAL RESISTANCE NETWORKS
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 19.
2D Transient Conduction Calculator Using Matlab
Partial Differential Equations Finite Difference Approximation.
Lecture Objectives: Analyze the unsteady-state heat transfer Conduction Introduce numerical calculation methods Explicit – Implicit methods.
One Dimensional Non-Homogeneous Conduction Equation P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A truly non-homogeneous.
Short Version : 16. Temperature & Heat Heat, Temperature & Thermodynamic Equilibrium Thermodynamic equilibrium: State at which macroscopic properties.
Module 4 Multi-Dimensional Steady State Heat Conduction.
Chapter 5: Numerical Methods in Heat Transfer
IASFPWG – Seattle, WA Jet-A Vaporization Computer Model A Fortran Code Written by Prof. Polymeropolous of Rutgers University International Aircraft.
CFX-10 Introduction Lecture 1.
18.9 A Closer Look at Heat and Work The First Law of Thermodynamics You have just seen that when a system changes from a given initial state to.
HEAT TRANSFER FINITE ELEMENT FORMULATION
Unsteady State Heat Conduction
Development of Simplified Model for Furnace Cooling Capacity P M V Subbarao Professor Mechanical Engineering Department Empirical Testing for Cooling.
Lecture Objectives: Continue with linearization of radiation and convection Example problem Modeling steps.
Chapter 2: Heat Conduction Equation
Chapter 3 Part 2 One-Dimensional, Steady-State Conduction.
Finite-Difference Solutions Part 2
1 Chapter 6 Time Delays Time delays occur due to: 1.Fluid flow in a pipe 2.Transport of solid material (e.g., conveyor belt) 3.Chemical analysis -Sampling.
ERT 216 HEAT & MASS TRANSFER Sem 2/ Dr Akmal Hadi Ma’ Radzi School of Bioprocess Engineering University Malaysia Perlis.
Unit 42: Heat Transfer and Combustion Lesson 6: Conduction-Convection Systems.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 8 Internal flow.
Transferência de Energia e de Massa Energy and Mass Transfer Lecture 1: Introduction to the subject and to the course 1.
FINITE DIFFERENCE In numerical analysis, two different approaches are commonly used: The finite difference and the finite element methods. In heat transfer.
HEAT TRANSFER Problems with FEM solution
The Finite Element Approach to Thermal Analysis Appendix A.
Fourier’s Law and the Heat Equation
Chapter 30.
Fourier’s Law and the Heat Equation
METAL 2007, HRADEC nad MORAVICI, CZECH REPUBLIC
Chapter 6 Thermal Analysis
Power Magnetic Devices: A Multi-Objective Design Approach
Time Delays Chapter 6 Time delays occur due to: Fluid flow in a pipe
HW2 Example MatLab Code is posted on the course website
Finite Volume Method for Unsteady Flows
Lecture Objectives: Analysis of unsteady state heat transfer HW3.
topic4: Implicit method, Stability, ADI method
Steady-State Heat Transfer (Initial notes are designed by Dr
What are Fins ? Fins are extended surfaces used to increase the rate of heat transfer. It is made of highly conductive materials such as aluminum.
Presentation transcript:

Numerical modeling example A simple s teel reheat furnace model – pg Reheat furnace Hot steel slabRolling mill Final product

The problem: Steel companies use models to simulate the batch heating of steel slabs (~4 hours, reaching K) prior to the rolling mill. This software is built into their process control systems. Two-dimensional models often suffice for this purpose (a balance between computing speed and model detail). The reheat furnace may contain many steel slabs and their heating progress must be monitored and paced through the furnace consistent with downstream operations in the rolling mill. Different zones of the furnace provide different heating strategies over the heating cycle.

A full model would involve: Implicit finite volume formulation. Variable properties – thermal conductivity and heat capacity are a function of temperature and steel composition. The phase change in steel structure from BCC to FCC at 910  C. Surface oxidation of the steel to the various oxides – occurs more rapidly above 570  C. FeO 0.95 (dominant oxide) has a heat of formation (a generation term) and low thermal conductivity (good insulator).

Our treatment will involve: Heat a steel slab from ambient temperature to a relatively uniform ~1400 K over a 4 hour period. A one-dimensional model will be used. Constant properties, no phase change and no scale growth. Explicit formulation – spreadsheet demonstration. Implicit formulation – can be coded in matlab or VBA (Excel add-in feature).

The slab … Dimensions: 10 m long 1 m wide 0.3 m thick Steel Properties: k = 35 W/m-K C P = J/kg-K  7820 kg/m 3 Model heat transfer through the 0.3 m dimension “Convective” heat transfer based on a furnace gas temperature of 1400 K Heat transfer symmetry on both sides of the slab; h = 200 W/m 2 -K Centreline of the slab has a zero gradient boundary condition (q = 0)

Problem formulation and set up: Three different types of cells (explicit form): 1.Boundary next to the hot combustion gases – radiation modeled as a convective process. One cell only. 2.An array of interior cells. Many cells. 3.The centre plane boundary condition – plane of symmetry with q = 0. One cell only.

Cell adjacent to furnace gases: q = hA(T  - T P ) Accumulation within cell P = Input to cell P = Output from cell P = Generation within cell P = 0 Accumulation = Input – Output + Generation

Alternative surface cell formulation: Evaluate the cell P temperature as “true” surface value Place the P node at the surface Adjust the cell volume (optional) Accumulation term is now half the original value used previously

General interior cells: Accumulation within cell P = Input to cell P = Output from cell P = Generation in cell P = 0

Centreline Cell: Accumulation within cell P = Input to cell P = Output from cell P = 0 Generation in cell P = 0

Some computational considerations: We want to cover the slab region 0 < x < 0.15 m With  x = 0.01 m we will require 15 cells Explicit scheme stability criteria: Time steps of  t = 2.5 – 5 s will meet this criteria To cover the 3-4 h time required for the batch heating process we will need ~3000 – 4000 time steps!

The set of equations involve 15 cells with cell 1 adjacent to the furnace gases through to cell 15 on the centre symmetry plane of the slab Equation for cell 1: Equations for cell 2 – 14: Equation for cell 15:

Spreadsheet solution