12th ESAFORM 2008 conference on material forming Enschede, The Netherlands 27, 28 and 29 april 2009 Comparison of experimental and simulation distortions of quenched C-ring test parts C. NICOLAS, Ph.D. Student C. BAUDOUIN, Assistant-professor R. BIGOT, Professor LCFC L. LELEU, Assistant-professor M. TEODORESCU, Research engineer 1 Methodology Presentation content Methodology applied to quantify distortions The C-ring Introducing C-ring test part The methodology applied on on C-rings Application of the methodology on C-ring test parts Conclusion & Outlook Conclusion and outlook 2 Methodology Methodology applied to quantify distortions The C-ring The methodology applied on on C-rings Conclusion & Outlook 3 Methodology Introducing C-ring test part Eccentricity Geometry The C-ring 11 11 Ø 45 Inner cylinder 16 Gap Pincer The methodology applied on on C-rings 100 100 Ø 70 Outer cylinder Values in mm Manufacturing process Machining Stress relieving Heating (930°C) + oil/gas quench (20°C) Conclusion & Outlook 4 Gradients of temperature microstructure stress Heterogeneity Distortions The C-ring CCT diagram The methodology applied on on C-rings Gradients of heating/cooling rate 100% martensite 50% ferrite + 45% bainite + 5% martensite 65% bainite + 35% martensite 3 gradients of thickness Radial Conclusion & Outlook Circumferencial 3 Core 2 Longitudinal Case (surface) 1 Pincers extremity Methodology C-ring geometry & quench distortions 5 Methodology Experimental data for simulation The C-ring Steel grade: thermo-elasto-visco-plastic behaviour Mechanical data: yield stress, flow stress, hardness, … Thermal data: dilatation coefficients, conductivity, … Metallurgical data: TTT/CCT diagram For each metallurgical phase Process modelling: temperature evolution (thermo couples) The methodology applied on on C-rings Heating 20° to 930° Thermal law Quench 930° to 20°C Thermal law inner/outer cylinders Nominal geometry Conclusion & Outlook Simulation sofware: Forge 2008 TTT Distortions & temperatures Distortions & temperatures 6 Methodology Measurement of real and simulated parts For real parts probing with a CMM The C-ring overall uncertainty : 1.6 μm Upper plane 110 points Right generatrix Outer cylinder 1722 points 21 points The methodology applied on on C-rings For f.e.m. parts algorithm for virtual 1722 points probing [1] 21 points 38 points Inner cylinder overall uncertainty : 0.5 μm with 217 500 nodes for a C-ring Left generatrix Bottom plane Measurement meshing Conclusion & Outlook Same gaps fields for real and virtual C-ring 7 [1] C. Nicolas and al., “Dimensional control strategy and products distortions identification”, International Journal of Material Forming (Springer), vol. 1, pp. 1039-1042, 2008. Gaps fields analysis for real and simulated C-rings Gap generatrixes (topside view) Cylinders (topside and iso views) Barrel effect The methodology applied on on C-rings Planes (left view) Height variation Pincers and gap opening Barrel/bobbin effect of rear generatrixes Lip effect of front generatrixes Height variation Bobbin effect Lip effect The C-ring Significant distortion phenomena Lip effect Methodology Modelling distortion phenomena Conclusion & Outlook Gap opening Pincers opening 8 Scale factor: x50 Nominal geometry Quenched geometry of real C-ring Quenched geometry of virtual C-ring Methodology Modelling distortion phenomena Significant distortion phenomena The C-ring Choose the mathematical expressions for each one The methodology applied on on C-rings Physical origin • known literature e.g. pincers opening [2] [3] [4] [5] • unknow experimental and f.e.m. tests e.g. lip effect Relevance • linearity • independence Conclusion & Outlook [2] R.A. Hardin and al., “Simulation of Heat Treatment Distortion”, In the Proceedings of: 59th Technical and Operating Conference, Chicago, 2005. [3] Z. Li and al., “Experiment and Simulation of Heat Treatment Results of C-Ring Test Specimen”, In the Proceedings of: 23rd ASM Heat Treating Society Conference, Pittsburgh, pp. 245-252, 2005. [4] D.O. Northwood and al., “Retained austenite - Residual stress - Distortion relationships in carburized SAE 8620 steel”, Materials Science Forum, vol. 539-543, pp. 4464-4469, 2007. [5] B.E. Brooks and al., “Prediction of Heat Treatment Distortion of Cast Steel C-Rings”, In the proceedings of: 61th Technical and Operating Conference, Chicago, 2007. 9 Methodology Modelling distortion phenomena Mathematical expression Geometrical prints For each section: Pincers opening The methodology applied on on C-rings Heterogeneity of cooling rate (faster near pincers) e ouverturei 1 cos i 2 i Atan2(OTi .x; OTi .y) x5 Barrel effect For each rear generatrix: e bombé 1 z i 2 i z i 1 0.1 k, k 0,20 Heterogeneity of cooling rate inside/outside x5 For each front generatrix: Lip effect Conclusion & Outlook 2 e lèvrei sin ( i 2 ) e ouverturei i 6 k 30 , k 0,20 Unknown f.e.m. approach needed Time-dependent combination between thermal metallurgical and mechanical stresses The C-ring Distortion phenomena Physical origin For the two cylinders 10 x5 Theoretical points Points of a geometrical print Methodology Modelling distortion phenomena Physical origin Geometrical prints For each point of planes: The methodology applied on on C-rings Height variation of planes e dila _ plansi i .z z i , Nz i 1 e dila _ plansi 1 Volume change x5 Gap opening Pour each generatrix: e dilai i .x x i , Nx i 1 e dilai 1 Volume change x5 Conclusion & Outlook Barrel effect Pour each generatrix: of the two e bombéi 1 z i 2 generatrixes z 1 0.1 k, k 0,20 of the gap i Heterogeneity of cooling rate inside/outside x5 Theoretical points Points of a geometrical print stresses Mathematical expression Thermo-mechanical and metallurgical The C-ring Distortion phenomena For the planes and the gap Thermo-mechanical stresses 11 Methodology Modelling distortion phenomena Relevance The C-ring linearity mathematical expressions checked detection of slight dependence by comparing each phenomena uncertainty to the measurement uncertainty The methodology applied on on C-rings When measuring the real C-ring: measurement uncertainty = 1.6 μm Pincers opening Barrel effect of rear generatrixes Lip effect of front generatrixes Height variation Gap opening Barrel effect of gap generatrixes 0.92 µm 0.15 µm 0.36 µm 0.2 µm 0.58 µm 0.93 µm Phenomena uncertainties < measurement uncertainty Conclusion & Outlook no great dependence distortion phenomena are dissociated by the optimization method 12 One steel grade - 4 cooling rates - 3 C-rings for experiments - 1 Pincers opening (shape change) Experiments The methodology applied on on C-rings 300 250 200 150 100 50 0 -50 -100 Gas12b Experiments Simulation 350 Gas3b Gap opening (volume change) Gas18b Oil Amplitudes of distortion phenomena in μm The C-ring for simulation Amplitudes of distortion phenomena Amplitudes of distortion phenomena in μm Methodology Dissociation of distortion phenoma Simulation 550 450 350 250 150 50 -50 Gas3b Gas12b Gas18b Oil Increase in quench cooling rate Increase in quench cooling rate Conclusion & Outlook Pincers opening with cooling rate Pincers closing - simu. - oil quench Gap opening with cooling rate Gap opening - simu. - oil quench Same trends excepted for oil quench Same amplitudes for gap opening (gas quenches) 13 Methodology Dissociation of distortion phenoma Amplitudes of distortion phenomena 0 -50 -100 -150 Inner generatrixes Outer experiments generatrixes experiments Outer generatrixes simulation experiments Inner generatrixes Inner generatrixes simulation Outer generatrixes simulation 150 Inner generatrixes simulation 150 100 Amplitudes of distortion phenomena in μm 50 Amplitudes of distortion phenomena in μm The methodology applied on on C-rings Amplitudes of distortion phenomena in μm 100 Lip effect of generatrixes 100 50 0 -50 -100 -150 Gas3b Gas12b Gas3b Gas18b Gas12b 50 0 -50 -100 -150 Oil Gas18b Increase in quench cooling rate Increase in quench cooling rate Outer generatrixes experiments Outer generatrixes experiments Inner generatrixes experiments Inner generatrixes experiments Outer generatrixes simulation Outer generatrixes simulation Inner generatrixes simulation Inner generatrixes simulation Amplitudes of distortion phenomena in μm The C-ring Barrel effect of generatrixes Outer generatrixes experiments Gas3b 150 100 50 0 -50 -100 Gas12b -150 Gas18b Gas3b Oil Gas12b Oil Increase in quench cooling rate Gas18b Oil Increase in quench cooling rate Conclusion & Outlook Barrel with cooling rate in gas quenches Lip with cooling rate in gas quenches Barrel in oil quench Lip in oil quench Symmetry of the two effects inner/outer cylinders 14 Same trends & comparable amplitudes for some cooling rate Methodology Conclusion Methodology closed to physical origin of distortions The C-ring Distortions (volume changes) thermal effect Gap opening good agreement exp. & simu. (like in literature) Origin: volume variation Height variation The methodology applied on on C-rings same tendancies exp. & simu. but not the amplitudes Origin: volume variation Distortions (shape changes) metallurgical & mechanical effect Same trends exp. & simu. but not the amplitudes Pincers opening Lip effect Conclusion & Outlook Origin: combination between cooling rate gradient and steel phase transformations gradient inside pincers Origin: local effect at the end of pincers, to be determined by simulation Barrel effect Origin: heterogeneity of cooling rate inner/outer cylinders 15 Methodology Outlook Investigation via simulation: chronology of distortions & phases transformations The C-ring Quench time Pincers closing The methodology applied on on C-rings End of heating Pincers opening Other distortion phenomena Conclusion & Outlook 16 Methodology Outlook Investigation via simulation: The C-ring chronology of distortions & stresses (related with phases transformations) Quench time Barrel effect creation Mise en bombé des génératrices The methodology applied on on C-rings t=20s t=40s t=50s Frange of de ferrite (compression) Start ferrite Frange de bainite (compression) Frange martensite (traction) Start ofdebainite Start of martensite Conclusion & Outlook Compressive stress Tensile stress t=70s t=100s t=150s t=200s t=550s Augmentation effet lèvre Lip effect creation 17 Investigation via simulation: The C-ring chronology of amplitudes of distortion phenomena The methodology applied on on C-rings 800 700 600 500 400 300 200 100 0 -100 -200 Amplitudes en µm Methodology Outlook 737 401 258 44 42 -27 8 45 14 146 57 41 -23 -32 -42 -74 -54 Barrel effect Bombé cyl. ext. Bombé cyl.int. 249 115 102 58 35 71 17 Ouverture pinces opening t=0s, end of heating --> begin of quench t=80s, martensite at middle-pincers t=250s, martensite inside whole C-ring 49 24 -28 -31 -49 -110 -109 -99 -74 Pincers 88 79 71 Lip effect Effet lèvre cyl. ext. Effet lèvre cyl.int. Variation épaisseur pinces t=50s, martensite at pincers extremity t=150s, martensite inside all pincers t=550s, end of quench Conclusion & Outlook Critical quench moments martensite transformation 18 12th ESAFORM 2008 conference on material forming Enschede, The Netherlands 27, 28 and 29 april 2009 Comparison of experimental and simulation distortions of quenched C-ring test parts C. NICOLAS, Ph.D. Student Thank you for your attention LCFC 19 Methodology Dissociation of distortion phenoma Goal: to separate effects of elementary distortions amoung the overall deformation The C-ring Existing optimization methods: Modal analysis [6] [7] Proper Orthogonal Decomposition (POD) [8] … The methodology applied on on C-rings Used method in this work [9]: Vectorial decomposition method Already successfully applied: to identify distortions: Shapes modelled with Fourier/Chebyshev functions or eigenfunctions. Vector of measurement gaps on camshaft on bevel gear obtained by net shape forging Vector of unidentified distortion Ph1 to control geometric position of an hexapod P Ph2 Vector of identified distortion phenomena Orthogonal projection of least square principle Conclusion & Outlook [6] S. Samper and al., “Form Defects Tolerancing by Natural Modes Analysis”, Journal of Computing and Information Science in Engineering, 2007. [7] K.D. Summerhays and al., “Optimizing discrete point sample patterns and measurement data analysis on internal cylindrical surfaces with systematic form deviations”, Precision Engineering, 2002. [8] L. Vanoverberghe and al., “Detection of deviations origins in a heat treatment process using POD basis”, Int. J. of Material Forming, 2008. [9] C. Nicolas and al., « Stratégie de contrôle dimensionnel et identification de la déformation d’un produit - Application à une pièce test traitée thermiquement », In the Proceedings of: Conception et Production Intégrées (CPI), Rabat (Maroc), 2007. 20