Stability in Film Casting

Slides:



Advertisements
Similar presentations
Courant and all that Consistency, Convergence Stability Numerical Dispersion Computational grids and numerical anisotropy The goal of this lecture is to.
Advertisements

Study of Sloshing Effects, In Cylindrical Tanks
A mathematical model of steady-state cavitation in Diesel injectors S. Martynov, D. Mason, M. Heikal, S. Sazhin Internal Engine Combustion Group School.
POLI di MI tecnicolano OPTIMAL PRECONDITIONERS FOR THE SOLUTION OF CONSTRAINED MECHANICAL SYSTEMS IN INDEX THREE FORM Carlo L. Bottasso, Lorenzo Trainelli.
M 1 and M 2 – Masses of the two objects [kg] G – Universal gravitational constant G = 6.67x N m 2 /kg 2 or G = 3.439x10 -8 ft 4 /(lb s 4 ) r – distance.
Basic Governing Differential Equations
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Lumped Parameter Systems.
ON WIDTH VARIATIONS IN RIVER MEANDERS Luca Solari 1 & Giovanni Seminara 2 1 Department of Civil Engineering, University of Firenze 2 Department of Environmental.
MOND Modified Newtonian Dynamics A Humble Introduction Johannes Kepler Isaac Newton Markus Nielbock.
Dr. Kirti Chandra Sahu Department of Chemical Engineering IIT Hyderabad.
Single-Scale Models: The Cytoskeleton Scientific Computing and Numerical Analysis Seminar CAAM 699.
2L 2aL s h T Introduction Zach Frye, University of Wisconsin-Eau Claire Faculty Advisors: Mohamed Elgindi, and John Drost, Department of Mathematics Funded.
Results It was found that variations in wettability disturb the flow of adjacent liquid (Fig. 3). Our results suggest that for a given liquid the normal.
1 MECH 221 FLUID MECHANICS (Fall 06/07) Tutorial 7.
Jed Goodell Jesse Williams. Introduction Problem How much heat does a particular heat sink dissipate How many fins are needed to dissipate a specific.
Basic Governing Differential Equations
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 4 Programming and Software EXCEL and MathCAD.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 2 Mathematical Modeling and Engineering Problem Solving.
The Islamic University of Gaza Faculty of Engineering Numerical Analysis ECIV 3306 Introduction.
Useful Equations in Planar Rigid-Body Dynamics
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Basic Governing Differential Equations CEE 331 July 14, 2015 CEE 331 July 14, 2015.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Chapter 1 Mathematical Modeling.
Finite Difference Methods to Solve the Wave Equation To develop the governing equation, Sum the Forces The Wave Equation Equations of Motion.
Conservation of momentum also known as: Cauchy’s equation Relation between stress and strain rate 4 equations, 12 unknowns; need to relate flow field and.
Numerical Computation of Neck-in and Edge Beading in Film Casting Tyler Birkel and Jessica Eckles, University of Wisconsin-Eau Claire Faculty Advisors:
Conservation Laws for Continua
A H. Kyotoh, b R. Nakamura & a P. J. Baruah a a Institute of Engineering Mechanics and Systems, University of Tsukuba, Ibaraki, Japan b Third Plan Design.
Chapter 1 Computing Tools Analytic and Algorithmic Solutions Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Chapter 9: Differential Analysis of Fluid Flow SCHOOL OF BIOPROCESS ENGINEERING, UNIVERSITI MALAYSIA PERLIS.
PTT 204/3 APPLIED FLUID MECHANICS SEM 2 (2012/2013)
Numerical Simulation on Flow Generated Resistive Wall Mode Shaoyan Cui (1,2), Xiaogang Wang (1), Yue Liu (1), Bo Yu (2) 1.State Key Laboratory of Materials.
DEVELOPMENT AND VALIDATION OF MODEL FOR AEROSOLS TRANSPORTATION IN BOUNDARY LAYERS A.S. Petrosyan, K.V. Karelsky, I.Smirnov Space Research Institute Russian.
Quality of Curve Fitting P M V Subbarao Professor Mechanical Engineering Department Suitability of A Model to a Data Set…..
A PPLIED M ECHANICS Lecture 01 Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Fundamentals of Rocket Stability It’s (not) rocket science!
Math 3120 Differential Equations with Boundary Value Problems
Mathematical Modeling and Engineering Problem Solving

Mass Transfer Coefficient
Introduction 1. Similarity 1.1. Mechanism and mathematical description 1.2. Generalized variables 1.3. Qualitative analysis 1.4. Generalized individual.
Order of Magnitude Scaling of Complex Engineering Problems Patricio F. Mendez Thomas W. Eagar May 14 th, 1999.
Xianwu Ling Russell Keanini Harish Cherukuri Department of Mechanical Engineering University of North Carolina at Charlotte Presented at the 2003 IPES.
Mathematical Background
Silesian University of Technology in Gliwice Inverse approach for identification of the shrinkage gap thermal resistance in continuous casting of metals.
Title: SHAPE OPTIMIZATION OF AXISYMMETRIC CAVITATOR IN PARTIALY CAVITATING FLOW Department of Mechanical Engineering Ferdowsi University of Mashhad Presented.
CIS/ME 794Y A Case Study in Computational Science & Engineering 2-D Conservation of Mass uu dx dy vv (x,y)
Physical Fluid Dynamics by D. J. Tritton What is Fluid Dynamics? Fluid dynamics is the study of the aforementioned phenomenon. The purpose.
Fluid dynamical equations (Navier-Stokes equations)
Ch5 Friction Now add friction… Why does friction occur?
FREE CONVECTION 7.1 Introduction Solar collectors Pipes Ducts Electronic packages Walls and windows 7.2 Features and Parameters of Free Convection (1)
CIS/ME 794Y A Case Study in Computational Science & Engineering 2-D conservation of momentum (contd.) Or, in cartesian tensor notation, Where repeated.
The Stability of Laminar Flows
Example A 45-kg swimmer runs with a horizontal velocity of +5.1 m/s off of a boat dock into a stationary 12-kg rubber raft. Find the velocity that the.
Two-phase hydrodynamic model for air entrainment at moving contact line Tak Shing Chan and Jacco Snoeijer Physics of Fluids Group Faculty of Science and.
V. Fundamentals of Fluid Dynamics. Contents 1. State of Stress in Moving Fluid 2. Equations of Motion 3. Bernoulli Equation.
Foundations of Modeling Models are simplifications of real systems They help us to understand the behavior of these systems by focusing on what (we believe)
APPLICATION TO EXTERNAL FLOW
SCIENTIFIC DISCOVERY EXPERIMENT THEORY SCIENTIFIC COMPUTING 1.
Process and System Characterization Describe and characterize transport and transformation phenomena based reactor dynamics ( 반응공학 ) – natural and engineered.
Essential Questions: 1. How do forces affect the motion of an object?
Energy Reduction Through Tribology-2
Modelling tools - MIKE11 Part1-Introduction
Conservation of momentum
University of Liège Department of Aerospace and Mechanical Engineering
Lecture Objectives Review for exam Discuss midterm project
Same format as first quiz. Total of 50 points
Command Terms
General Principles 4/10/2019.
Subject Name: FLUID MECHANICS
Projectile Motion with air drag
Presentation transcript:

Stability in Film Casting Olena Zavinska

Outline Problem Statement Project Goal Modeling Solution Method Validation Results Conclusions

Problem Statement 1. Early Film Breakage 2. Draw Resonance Air Gap Width Die Web Chill Roll Off-Set Thickness

Project Goal Design and implement a method for analysis of stability of the film casting process Determine the tolerance values of system parameters to keep the process stable Reference: Silagy, D. et.al., Study of the Stability of the Film Casting Process, Polymer Engineering and Science, 36, no.21, 1996.

Outline Modeling Problem Statement Project Goal Solution Method Validation Results Conclusions

Assumptions Polymer flow: Isothermal Elongational Inertia, gravity, and surface tension are neglected Kinematics’ Hypothesis (Silagy) membrane approximation 1D model Coordinates (x,y,z) Width (L) Thickness (e) Velocity (u) Length (X) Reference: Silagy, D. et.al., Study of the Stability of the Film Casting Process, Polymer Engineering and Science, 36, no.21, 1996.

Governing Equations Solving Unknowns Modeling 1. Mass Conservation: 2. Forces: 3. Constitutive Eq.: 5. Kinematics F.S. Condition: 4. Stress F.S. condition: 6. Boundary Conditions: Solving Unknowns Modeling

Outline Solution Method Problem Statement Project Goal Modeling Validation Results Conclusions

Step 1: Scaling Solution Method 1. Unknown Variables: 2. Independent Variables: 3. Unknown Parameter: 4. Input Parameters: Solution Method

Solution Procedure Scaled: Stationary Solution Method + inhomogeneous boundary conditions Solution Method

Step 2: Stationary Solution + inhomogeneous b.c.’s 1. Shooting method is applied to find the parameter E 2. RK4 is applied to solve the system, when E is given Solution Method

Step 3: Dynamic Solution + homogeneous b.c.’s Parameter - indicates instability - process is stable - process is unstable Solution Method

Validation (Newtonian model) Outline Problem Statement Project Goal Modeling Solution Method Validation (Newtonian model) Results Conclusions

Comparison with literature reference NEWTON: Method vs Literature

Outline Results (PTT model) Problem Statement Project Goal Modeling Solution Method Validation Results (PTT model) Conclusions

STABLE UNSTABLE LLDPE (eps=0.1) : Stability Curves

STABLE UNSTABLE LDPE (eps=0.01) : Stability Curves

Conclusions A numerical algorithm for the resolution of linear stability analysis was developed It shows excellent performance (precision, low calculation time) The material rheological model explains the stabilization effect of LDPE The algorithm can be applied to other similarly mathematical described processes.

Acknowledgment Angela Sembiring (TU/e) Hong Xu (TU/e) Andriy Rychahyvskyy (TU/e) Jerome Claracq (Dow) Stef van Eijndhoven (TU/e)

the end