A COMPUTATIONAL STUDY OF THE EFFECT OF EXIT GEOMETRY ON SHARKSKIN INSTABILITY IN THE EXTRUSION OF A NON-NEWTONIAN VISCOELASTIC POLYMER Amanda Pascoe

Slides:



Advertisements
Similar presentations
21 November 2007 Phys. Sc. & Engin. Grad School, Cardiff VISCOELASTIC FLUIDS: A BRIEF DESCRIPTION AND SOME MAIN FEATURES EXTRUDATE SWELL EXTRUDATE SWELL.
Advertisements

Impact of Microdrops on Solids James Sprittles & Yulii Shikhmurzaev Failure of conventional models All existing models are based on the contact angle being.
Extrusion-Based Processes
Outline Overview of Pipe Flow CFD Process ANSYS Workbench
On The Effect of THE Wall Slip BOUNDARY Condition
Shell Momentum Balances
Introduction: Gravitational forces resulting from microgravity, take off and landing of spacecraft are experienced by individual cells in the living organism.
Computational Modeling of Flow over a Spillway In Vatnsfellsstífla Dam in Iceland Master’s Thesis Presentation Chalmers University of Technology 2007.
Mathematical Level-Set Modeling of Cell Growth on 3D Surfaces Y. Guyot 1,5, I. Papantoniou 2,5, Y. C. Chai 2,5, S. Van Bael 3,5, J. Schrooten 4,5, L. Geris.
RANS predictions of a cavitating tip vortex 8th International Symposium on Cavitation Tuomas Sipilä*, Timo Siikonen** *VTT Technical Research Centre of.
Progress Report on SPARTAN Chamber Dynamics Simulation Code Farrokh Najmabadi and Zoran Dragojlovic HAPL Meeting February 5-6, 2004 Georgia Institute of.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
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.
Modeling of CNT based composites: Numerical Issues
UNICAMP THE HEIGHT OF LIQUID METHOD FOR FREE SURFACE FLOWS Flow simulations of real processes often involve fluids that are separated by a sharp interface.
Direct numerical simulations of droplet emulsions in sliding bi-periodic frames using the level-set method See Jo Wook Ryol Hwang*
Preliminary Sensitivity Studies With CRASH 3D Bruce Fryxell CRASH Review October 20, 2009.
James Sprittles ECS 2007 Viscous Flow Over a Chemically Patterned Surface J.E. Sprittles Y.D. Shikhmurzaev.
Partial Coalescence at Liquid Interfaces François Blanchette & Terry P. Bigioni James Franck Institute, University of Chicago 4-The daughter drop bounces.
Laura Schmidt, PHY335, Dec. 2, 2003 Selective withdrawal using non-Newtonian fluids The process: withdrawing fluid through a pipette positioned above a.
Some Aspects of Drops Impacting on Solid Surfaces J.E Sprittles Y.D. Shikhmurzaev EFMC7 Manchester 2008.
1 Comparison of One-Hole Die Shape Fermi National Accelerator Laboratory (FNAL) Department of Mechanical Engineering Northern Illinois University Northern.
Flow and Thermal Considerations
Numerical Computation of Neck-in and Edge Beading in Film Casting Tyler Birkel and Jessica Eckles, University of Wisconsin-Eau Claire Faculty Advisors:
Optimization of pocket design for extrusion with minimal defects Kathirgamanathan, P., Neitzert, T.
Lecture 16 - Free Surface Flows Applied Computational Fluid Dynamics
Simulation of Droplet Drawback in Inkjet Printing
Plane sudden expansion flows of viscoelastic liquids: effect of expansion ratio Robert J Poole Department of Engineering, University of Liverpool, UK Manuel.
A Hybrid Particle-Mesh Method for Viscous, Incompressible, Multiphase Flows Jie LIU, Seiichi KOSHIZUKA Yoshiaki OKA The University of Tokyo,
Numerical Simulation of Physical Foaming Processes
Numerical simulation of the Fluid-Structure Interaction in stented aneurysms M.-A. FERNÁNDEZ, J.-F. GERBEAU, J. MURA INRIA / REO Team Paris-Rocquencourt.
About TIME STEP In solver option, we must define TIME STEP in flow solver.
Numerical Simulations of Silverpit Crater Collapse: A Comparison of TEKTON and SALES 2 Gareth Collins, Zibi Turtle, and Jay Melosh LPL, Univ. of Arizona.
16/05/2006 Cardiff School of Mathematics 1 Modelling Flows of Viscoelastic Fluids with Spectral Elements: a first approach Giancarlo Russo, supervised.
A Numerical Model for Multiphase Flow, I: The Interface Tracking Algorithm Frank Bierbrauer.
1 MECH 221 FLUID MECHANICS (Fall 06/07) Chapter 6: DIMENTIONAL ANALYSIS Instructor: Professor C. T. HSU.
Order of Magnitude Scaling of Complex Engineering Problems Patricio F. Mendez Thomas W. Eagar May 14 th, 1999.
Grid or Mesh or Adaptive Procedure Fluid Dynamics is Made for This And this was developed in the Early 1970s.
Silesian University of Technology in Gliwice Inverse approach for identification of the shrinkage gap thermal resistance in continuous casting of metals.
Project #5: Simulation of Fluid Flow in the Screen-Bounded Channel in a Fiber Separator Lana Sneath and Sandra Hernandez 3 rd year - Biomedical Engineering.
Numerical simulation of droplet motion and two-phase flow field in an oscillating container Tadashi Watanabe Center for Computational Science and e-Systems.
Flow In Circular Pipes Objective ä To measure the pressure drop in the straight section of smooth, rough, and packed pipes as a function of flow rate.
Governing Equations Conservation of Mass Conservation of Momentum Velocity Stress tensor Force Pressure Surface normal Computation Flowsheet Grid values.
Prepared by Dan Wu with the supervision under Prof. M. Kostic
Self-organization of ciliary motion: beat shapes and metachronicity
Perpetual Visualization of Particle Motion and Fluid Flow Presented by Tsui Mei Chang.
Targetry Simulation with Front Tracking And Embedded Boundary Method Jian Du SUNY at Stony Brook Neutrino Factory and Muon Collider Collaboration UCLA.
The Rayleigh-Taylor Instability By: Paul Canepa and Mike Cromer Team Leftovers.
Numerical Modeling of Viscoelastic Drops John Gemmer, Millersville University Tobin Isaac, Rice University Mark Sussman, Florida State University.
Dynamics of a Gas Bubble in an Inclined Channel at Finite Reynolds Number Catherine Norman Michael J. Miksis Northwestern University.
Microflows in the Human Body
Efficient Simulation of Large Bodies of Water by Coupling Two and Three Dimensional Techniques SIGGRAPH 2006 Geoffrey Irving Eran Guendelman Frank Losasso.
Potential Flow and Computational Fluid Dynamics Numerical Analysis C8.3 Saleh David Ramezani BIEN 301 February 14, 2007.
Relationship between cilia-induced and airflow-induced mucus clearance Sorin Mitran Applied Mathematics UNC Virtual Lung Project August 19, 2008.
Materials Process Design and Control Laboratory MULTISCALE COMPUTATIONAL MODELING OF ALLOY SOLIDIFICATION PROCESSES Materials Process Design and Control.
35 Ton LAr Impurity Distribution Measurements and CFD simulation Erik Voirin – Fermilab – Thermal and Fluids Engineering Group / Engineering.
©2007 John Wiley & Sons, Inc. M P Groover, Fundamentals of Modern Manufacturing 3/e MECHANICAL PROPERTIES OF MATERIALS 1.Hardness 2.Effect of Temperature.
CE 3305 Engineering FLUID MECHANICS
CE 3305 Engineering FLUID MECHANICS
Prepared BY: Helwan University Faculty Of Engineering
Principle of the process
Principle of the process Design For Manufacturing (DFM)
Fluid Mechanics Dr. Mohsin Siddique Assistant Professor
Numerical Modeling of Dynamics and Adhesion of Leukocytes
Convergence in Computational Science
Numerical Modeling of Fluid Droplet Spreading and Contact Angle Hysteresis Nikolai V. Priezjev, Mechanical Engineering, Michigan State University, MI
Principle of the process
SHAPING PROCESSES FOR PLASTICS
Step change in the boundary condition of conduction problems
Anthony D. Fick & Dr. Ali Borhan Governing Equations
Presentation transcript:

A COMPUTATIONAL STUDY OF THE EFFECT OF EXIT GEOMETRY ON SHARKSKIN INSTABILITY IN THE EXTRUSION OF A NON-NEWTONIAN VISCOELASTIC POLYMER Amanda Pascoe and Jill Roth Research Mentor: Mark Sussman Research Experience for Undergraduates in Computational Math, CSIT, Florida State University, Tallahassee, Florida

This study investigates sharkskin instability in the extrusion of a non- Newtonian, viscoelastic polymer. Our goal is to determine if the geometry at the die exit causes sharkskin. We alter the inflow rate and relaxation time of the polymer. Our numerical approach is the coupled level set volume-of-fluid (CLSVOF) method. ABSTRACT

BACKGROUND INFORMATION During the extrusion of polymers, a series of instabilities occurs that affects its manufacturing. One must choose between reducing the extrusion rate or sacrificing the quality of the extrudate. Sharkskin, the first instability, is of particular interest as it occurs at relatively low extrusion rates. Characterized by surface roughness, sharkskin consists of a regular pattern of fractures.

During extrusion, polymeric materials often expand to a diameter larger than that of the die. At sufficiently high flow rates, this swelling can lead to sharkskin in the extrudate. Although the source of sharkskin is still unknown, there is general agreement, supported by both experimental and numerical analysis, that the location of the initiation of sharkskin is at the die exit. Migler identifies a cohesive failure at the die exit, where the polymer splits into a surface layer and a core layer. Then the surface layer bulges and pinches off from the core layer. Studies have identified a stress singularity at the corner which we attempt to eliminate by altering the exit geometry. BACKGROUND INFORMATION (continued)

Sharkskin Instability

APPROACH The coupled level set volume-of-fluid (CLSVOF) method combines the advantages of both the level set (LS) method and the volume-of-fluid (VOF) method. These methods track the solid/liquid and liquid/gas interfaces. The VOF function measures the fraction of gas and liquid in each cell of a grid. The LS function represents the distance from any cell center to a free surface. Our study uses two LS functions: Φ measures to the die geometry and Ψ measures to the surface of the advecting liquid.

LEVEL SET FUNCTIONS Ψ<0 Ψ>0 Φ>0 Φ<0

ADAPTIVE MESH REFINEMENT

APPROACH (continued) Rather than using a body fitted grid method as in previous studies, our simulations utilize a Cartesian grid that cuts through the geometry. An adaptive mesh refinement (AMR) algorithm magnifies the die exit region through a hierarchical grid system. The levels of refinement range from coarsest at the lowest layer to most refined at the top.

GOVERNING EQUATIONS Given that gravity is ignored, the Navier-Stokes equations appear as the following, Here L is the diameter of the nozzle, and U is the inflow velocity. After a change of variables, we have

PARAMETERS This study uses the physical properties of polyethylene to model a non- Newtonian, viscoelastic fluid.

GEOMETRY We alter the geometry of the die exit from a sharp corner to a rounded corner whose curvature is controlled by the length of a radius. Sharp Corner Round Corner

SIMULATIONS During the simulations, the inflow velocity is varied. It has been shown that sharkskin is present at sufficiently high inflow rates. Altering the inflow rate effects the Deborah number (De) and the capillary number (Ca).

2D SIMULATIONS η p = (g/cm s) Square η p =12636 (g/cm s) Inflow rate = 2mm3/s Step Square η p =12636 (g/cm s) Inflow rate = 10 mm3/s Step Round η p =12636 (g/cm s) Inflow rate = 10 mm3/s Step 84300

2D SIMULATIONS η p = (g/cm s) Square Inflow rate = 2mm3/s Step Round Inflow rate = 2mm3/s Step Square Inflow rate = 10 mm3/s Step Round Inflow rate = 10mm3/s Step 26700

3D GEOMETRY