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PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
PLM Connection: KHBO on Camera Heat Removal Project
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PLM Connection: KHBO on Camera Heat Removal Project

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Frederick Desplentere of KHBO presented at Siemens PLM Connection on the use of our simulation and analysis software for determining heat issues and removal. See www.siemens.com/plm/blog for related …

Frederick Desplentere of KHBO presented at Siemens PLM Connection on the use of our simulation and analysis software for determining heat issues and removal. See www.siemens.com/plm/blog for related blog post and more event coverage.

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Transcript

  • 1. Dr. F. Desplentere [email_address] Heat removal within camera and software linking demo
  • 2.
    • Introduction
    • Case study: Traffic control camera
    • Case study: Mould temperature calculation for thermoforming
    • Conclusions
    Overview
  • 3.
    • History
      • 1995: fusion of 5 former independent colleges
      • 2002: associated with Catholic University of Leuven
    • Locations
      • Bruges
      • Ostend
    KHBO
  • 4. KHBO faculties
  • 5. Campus Ostend
    • Professional bachelor
      • Chemics
      • Electronics
      • Mechanics
      • Aviation
    • Academic bachelor
      • Civil engineering
      • Electronics
      • Mechanics
    • Master courses
      • Civil engineering
      • Electronics
      • Elektro technics
      • Elektro mechanics
      • Polymer technology
  • 6. Mechanical department
    • 3-fold mission
      • Education
      • Service for SME’s
      • Scientific research
    • Overview of research fields
      • Dynamic behavior of mechanical structures
      • Polymer processing
      • Avionics
    • Different types of research
      • Theoretical approach
      • Material characterization
      • Computer simulations
      • Experiments
  • 7. Software overview
    • General finite element package
      • NX 6
    • Polymer processing
      • Autodesk Moldflow : Injection moulding
      • VEL 6.3 : Extrusion
      • T-sim 4.7: Thermoforming
  • 8.
    • Traffic control camera
    First case study
  • 9. First case study
    • Housing: Influence of different materials
      • PA + PC
      • ALU
      • ≠ coatings
    • All weather conditions
      • Closed volume for air and humidity
      • Extreme temperatures
      • Solar heating
    • Internal heat generation on 2 PCB’s
      • 3.7 Watt
    • Maximum allowed temperature on PCB’s = 100°C
      • Radiation has to be taken into account
      • Steady state conditions
  • 10. Camera: model
    • Mesh on solids and air+ assigning material
  • 11. Camera: Situation 1
    • Simulation 1 = lab-conditions
    • Ambient conditions=22°C Outside convection: 20W/m²K
    • Heat generated on PCB: 3.7 Watt
    • No solar heating
  • 12. Camera: Situation 1
    • Without taking into account radiation
    • Maximum temperature: 91°C
    • Maximum air temperature: 64°C
  • 13. Camera: Comparison
    • Ambient temperature: 22°C
    • Internal heat generation 3.7W
    • Measurements for temperature with NTC’s in the internal air
    • Simulation Experiment
    NOT OK 60°C  46°C 55°C  48°C 40°C  45°C
  • 14. Camera: Convection
    • Calculated Internal natural convection coefficients: reasonable level
  • 15. Camera: with radiation
    • Taking into account radiation: first assumption black body
    • Maximum temperature: 63°C
    • Maximum air temperature: 50°C
    • Maximum air speed 7 cm/s
    63°C 50°C 7cm/s
  • 16. Camera: Comparison
    • Ambient temperature: 22°C
    • Internal heat generation 3.7W
    • Measurements for temperature with NTC’s in the internal air
    • Simulation Experiment
    48°C  46°C 52°C  48°C 39°C  45°C OK
  • 17. Camera: Solar Heating
    • Possible heat load in NX Thermal/flow : solar heating
      • Function of day number (angle of the sun)
      • Function of location on the earth
      • Function of time (turning of the earth)
    • June at zenith: maximum flux 1415 W/m², ambient 40°C
    85°C 73°C
  • 18. Camera: Material properties
    • Influence of radiation parameters
      • Outer shells 100% thermal transparant
    97°C 64°C
  • 19. Camera: Material properties
    • Influence of radiation parameters
      • Outer shells 100% thermal reflecting
    74C 57C
  • 20. Second case study
    • Software linking result: T-SIM - NX-Thermal – I-deas NX 5
      • Prediction of spatial temperature distribution for thermoforming mould
      • Cooling behavior of thermoformed product
    • Problem description
      • T-sim ® does not perform heat transfer calculation for the mould
      • Influence of cooling line geometry
      • Product thickness is not known in advance
      • General rules are not valid for thermoforming as for in injection molding
  • 21. Thermoforming process
  • 22. T-sim ® software
    • Sheet representation
      • New sheet
      • Open sheet
        • Preblown sheet
        • Sheet sag (gravimetric deformation)
  • 23. T-sim ® software
    • Thermoforming tools
      • New tool
        • Different formats
      • Open tool
  • 24. T-sim ® software
    • Process parameters: pressure, positions
      • New process control
      • Open process control
  • 25. T-sim ® software
    • Material data
      • New material data
      • Open material data
  • 26. T-sim ® software
    • Heat and friction
      • New Heat and friction
      • Open Heat and friction
    One temperature for one tool!
  • 27. T-sim ® software
    • Project definition: selection of different files
      • New Project
      • Open Project
  • 28. T-sim ® software
    • Results
      • Thickness distribution
      • Temperature distribution
      • Stress distribution
      • Elongation distribution
  • 29. Case study
    • Temperature within thermoforming mould
      • PP sheet: 0.5 mm thickness, Process temperature 160°C
      • Serial cooling water flow 13 l/min, 13°C inlet value, Estimated mould temperature = 40°C
      • Cycle time = 2 sec, t form = 0.5 sec, forming pressure 5 bar
  • 30. T-sim simulation
  • 31. T-sim results Thickness Temperature
  • 32.
    • Short cycle time  ± steady state
    • Discontinue process  continuous
      • Cooling of sheet : Transformation into power
      • Need for Temperature and thickness distribution
    • Realized through own developed program (Borland C++)
    Mould temperature
  • 33.
    • Export of T-sim data (ASCII format)
      • Nodes, elements, thicknesses, temperatures
    • Subdivision into 100 thickness intervals
      • Necessary for the creation of physical properties within I-deas
    • For each element: calculation of power
      • Determination of element surface
      • Heat transported to mold (temperature assumed to be constant)
        • For each time step within cycle time:
          • Amount of heat transported
          • Cooling down of element
    Procedure Local HTC Mould thickness Hot sheet cold mould
  • 34.
    • Use of Universal file format (ASCII format)
      • Export node and element data
      • 100 Physical properties
      • 100 Power groups
    Thermal Model
  • 35.
    • Heat flux field
    Boundary condition
  • 36.
    • Thermal modeling of mould : assembly mesh
      • Imported mesh + boundary conditions
      • Thermal model built for mould in Ideas-TMG
      • Steady state modeling
    Complete mould
  • 37.
    • Contact surface temperature (average temperature)
    Temperature result Weighted average = 64.5°C Weighted standard deviation = 5°C
  • 38.
    • Complete model (average temperature)
    Temperature result
  • 39.
    • Complete model (average temperature)
    Coolant temperature Good fit with measured outlet temperature: 24.8°C  25.1°C
  • 40.
    • Building of new model
      • Transient model
      • Contact surface temperature  Boundary condition
      • Temperature result T-sim  Initial temperature for sheet
      • Thermal coupling between two “surface” meshes
    Real cooling behavior
  • 41. Cooling behavior Good prediction of hot spots in thermoformed part
    • Sheet cooling as function of time
  • 42. Conclusions
    • Combinations of programs allow to obtain more realistic data for average mould temperatures
      • Guessing the average mould temperature for T-sim = past
    • Optimisation tool for cooling line geometry is developed
    • Future work: - Transient mould temperature prediction - Warpage of thermoformed products
  • 43. October 2009

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