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A new meshing methodology for faster simulation of a Body-In-White dipping process Madhusudhan Devanathan MBtech Group GmbH & Co. KGaA , Sindelfingen, Germany STAR Global Conference 19 21 March 2012 , Amsterdam - Netherlands Overview of


  1. A new meshing methodology for faster simulation of a Body-In-White dipping process Madhusudhan Devanathan MBtech Group GmbH & Co. KGaA , Sindelfingen, Germany STAR Global Conference 19 – 21 March 2012 , Amsterdam - Netherlands

  2. Overview of BIW painting process Pretreatment and Ecoat Paint processes 21.03.2012 | STAR Global Conference 2012 2

  3. Simulation method development for dipping process Goals of method Dip-out : Calculation of location of residual paint and their draining time Dip-in : Calculation of location of air bubbles Dip-in Dip-out Fast simulation method to integrate into Digital Prototypeing Process Constraints on method development Minimum mesh preparation time for BIW Optimal computational time Simulation of complex rigid body motions Simulation over long process times 21.03.2012 | STAR Global Conference 2012 3

  4. 1 2 1 [Surface mesh and curve creation] Macro automated mesh pipeline 2 process in STAR-CCM+ 1 [Imported CAD] 2 [Induced intersection] 1 1 2 2 [Trimmed volume mesh] 21.03.2012 | STAR Global Conference 2012 [Intersection curve] 4

  5. CAD Import : Information for meshing out of CAD [ Mesh out of patch information ] • Preserve thickness surface during meshing with coarse size (>3 mm) • Local refinement for Holes [ CAD Data ] • Translation of only top and bottom surface to induce intersections [ Feature curve of thickness surface ] 21.03.2012 | STAR Global Conference 2012 5jj

  6. Meshing : Surface meshing technique for BIW → Surface meshing using Aligned mesher to reduce surface cell count / capture geometry A – 46300 cells B – 14000 cells C – 10800 cells [ 36 Curv. points ] [ 8 Curv. points ] [ 8 Curv. points, Aligned ] → Geometry for simulation : Floor assembly 2 Million surface cells 21.03.2012 | STAR Global Conference 2012 6

  7. Meshing : Volume meshing methodology Trimmed Mesher Volume mesh between Cylinder and BIW Coarse mesh set on outer cylinder Medium or slow template growth rate 4.5 Million Trimmed Hexa‘s , No prism or Thin mesh Outer cylinder Section view of Volume Mesh : Metal to Metal contact 21.03.2012 | STAR Global Conference 2012 7

  8. Simulation of Dip-out process : Physics and Motion model X-Z Plane 2 Physics and Modelling phases 1,5 Eulerian multiphase with VOF model for Z (m) modelling paint and air phases 1 Gravity model for gravitational effects 0,5 Laminar model to include viscous effects 0 0 2 4 6 8 X (m) [Linear motion in X-Z plane for Dip-out ] Modelling Dip-out curve Rigid body motion model to transform the 0 0 25 50 75 total volume mesh over time -10 Translation in X – Z plane with the help of Angle (deg) -20 spline interpolation -30 Rotation about moving car coordinate system is superposed with linear motion -40 -50 Time (s) [Rotary motion about moving car coordinates ] 21.03.2012 | STAR Global Conference 2012 8

  9. Simulation of Dip-out process: Initial Conditions Volume mesh is transformed to start of dipping conditions Paint level defined as z < 0 Outer cylinder is set to pressure outlet BC’s for outer cylinder : Hydrostatic pressure and paint level as field functions [ 1. Hydrostatic pressure definition ] Z = 0 z Wall Pressure outlet x [ 2. Paint level definition ] 21.03.2012 | STAR Global Conference 2012 9

  10. Simulation of dip-out process for 65s Tracking volume of residual paint in BIW over time and position 21.03.2012 | STAR Global Conference 2012 10

  11. Identifying draining holes and the time for complete drain out of residual paint 12 10 8 Volume of Residual Paint (L) 6 [ Start of draining ] 4 2 0 0 15 30 45 60 Time (s) Δt = 23s 21.03.2012 | STAR Global Conference 2012 11jj

  12. Conclusion Summary and future outlook Summary Faster method for mesh preparation and computation of dipping process is proposed Aligned mesh capability of STAR-CCM+ reduces cell count for capturing complicated geometry STAR-CCM+ pipeline mesh process with java automation reduces manual effort and time by 75 % compared to existing manual and semi-automatic methods Rigid body motion along with motion superposition reduces modelling effort to simulate complicated trajectory Future outlook Computation using polyhedrals instead for trimmed Hexahedral cells Customize the current meshing method for simulation other paint processes Current processes like E-Coat deposition, drying simulation require a complete BIW 21.03.2012 | STAR Global Conference 2012 12jj

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