Opportunité et défis de l'utilisation des composites pour l'automobile C. Binetruy1, O.Allix1, D. Guillon3, Y. Amossé4 1GeM 2LMT Cachan 3CETIM (COMP’INNOV : Composite Innovation Openlab) 4Faurecia (Chaire Faurecia / Centrale Nantes) christophe.binetruy@ec-nantes.fr http://gem.ec-nantes.fr/ Cost and manufacturing driven optimization of composite part designs Structural part design Mechanical simula-on Material Scale Local Microstructure Performance density × € Manufacturing? 2 Stamping of composite prepregs Without blankholder With blankholder 3 Stamping of composite prepregs 4 Thermostamping of prepregs Influence of the stamping time Initial ply temperature : 290ºC Tool temperature :180ºC Stamping time : 1s Initial ply temperature : 290ºC Tool temperature :180ºC Stamping time : 10s Initial ply temperature : 290ºC Tool temperature :20ºC Stamping time : 1s Initial ply temperature : 290ºC Tool temperature :20ºC Stamping time : 2s 5 Thermostamping of prepregs + overmolding of LFTs 6 6 Injection/compression 7 Injection/compression Injection unit Mold heated by induction Hot runner Upper part of the press Mold Cavity Hot runner Injec-on unit Bo8om part of the press Injection from the bottom via the hot runner 8 Injection/compression # Vf [%] h Q v [mm] [cm3/s] [mm/s] 1 42 4 50 6 2 56 6 20 3 3 56 6 20 0,5 1 Defects • Fibre washing in the centre • Bundle deformation at the borders • Over-compaction in the middle 2 9 3 Compression of SMC [3DTimon] 10 Compression of SMC 11 Compression of SMC Fiber Representative volume element Homogeneous equivalent medium Part scale p p (orientation Thousands of of a fiber) fibers Ψ (probability distribu-on func-on) Ψ(x) a(x) a (orienta-on tensor) 12 12 Compression of SMC First step : Loading of the charge Second step : Compression of the charge : flow of the charge after 2 seconds Second step : computation of velocities and fiber orientations 13 13 Compression of SMC Through-thickness fiber orientation after 2s 14 Cost and manufacturing driven optimization of composite part designs 15 Cost and manufacturing driven optimization of composite part designs Structural part design Mechanical simula-on Material Scale Local Microstructure Process design Process simula-on 16 Process enhanced composite part optimization 17 Process enhanced composite part optimization • 18 Process enhanced composite part optimization Optimization objectives q Full optimization cycle: q Design space definition q Topology optimization q Stacking sequence optimization on a final geometry q Stacking sequence optimization: q 7 zones with distinct UD ply lay-ups q The whole part can be enclosed by an isotropic chopped fiber material q Process: RTM injection with an injection line q Two optimization scenarios: q Without any manufacturing consideration q Using the RTM Process Estimator 19 Process enhanced composite part optimization q Different stacking sequences for every zone Without process considera9ons Using the RTM Process Es9mator No Yes 215.1 g 219.1 g < 2% 9.2 s 1.2 s 84% Chopped fiber ply Part Mass RTM filling -me Differences q RTM fill patterns Zones of flow weld lines Resin injection line Fill pattern without process consideration Resin injection line Fill pattern using the RTM Process Estimator 20 Computational framework Thermo-stamping Overmolding SMC Development of rapid process simulation models Process simulation with advanced rheological and flow models Multiphysics problem Complex flow models Meshless methods Fluid Flow Process combination possible Multiply simulation considering thermal effects Displacement Temperature Forces Solid mechanics Temperature Compression moulding Compression molding Heat Transfer Deformation Deformation Hydraulic press Temperature Solid Liquid Interface Interface Liquid Press force speed Solid Mould • Process comparisons: • SMC, RTM, F3P • Grade of automation Material class Machine class Workforce class Material library Machine library Workforce library Production cost Composite part Preparation stage Process stage Finishing stage Part class Material cost Advanced process simulation, virtual material characterization and A optimization of composite parts Macrostructure: Darcy Introduction of the Process Estimators Rapid manufacturability prediction Combination MAIN PROGRAM Variables: Automation grade Manufacturing volume Cost of the fiber Combination Microstructure: Stokes Outputs Composite part cost prediction Mesostructure: Brinkman Replace tensile and compression tests Composite part optimization Ecole Centrale de Nantes / GeM Virtual material characterization 21
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