Top

International Journal of Material Forming

Published in:

08-01-2021 | Original Research

Parameter identification of 42CrMo4 steel hot forging plastic flow behaviour using industrial upsetting presses and finite element simulations

Authors: Gabriel Venet, Cyrille Baudouin, Corentin Pondaven, Régis Bigot, Tudor Balan

Published in: International Journal of Material Forming | Issue 5/2021

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

An experimental-numerical methodology was proposed for the parameter identification of constitutive laws, when applied to hot forging. Industrial presses were directly used to generate the reference experiments for identification. The strain and temperature heterogeneity that appears during on-press compression experiments was taken into account by an FE-based inverse method. Specific experiments were designed for the identification of the heat transfer and friction coefficients. A testing tool was designed and instrumented with displacement sensors and a force cell. This was then used on a hydraulic press and a screw press in order to cover a large range of strain rates. The identified parameter set was validated with respect to specialized plastometers, and a semi-industrial validation forging process. A reasonable accuracy was observed, particularly in realistic forging conditions.

previous article Numerical modeling of mechanical properties of UAM reinforced aluminum hat sections for automotive applications

next article Fiber deformation behavior of discontinuous CFRTP in gear forging

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Avrami M (1939) Kinetics of Phase Change. I General Theory. J. Chem. Phys. 7(12):1103–1112. https://doi.org/10.1063/1.1750380CrossRef

Sandström R, Lagneborg R (1975) A model for hot working occurring by recrystallization. Acta Metall. 23(3):387–398. https://doi.org/10.1016/0001-6160(75)90132-7CrossRef

McQueen HJ (1982) Review of Simulations of Multistage Hot-Forming of Steels. Can. Metall. Q. 21(4):445–460. https://doi.org/10.1179/cmq.1982.21.4.445CrossRef

Sellars CM, Tegart WJMG (1972) Hot Workability. Int. Metall. Rev. 17(1):1–24. https://doi.org/10.1179/imtlr.1972.17.1.1CrossRef

Luton MJ, Sellars CM (1969) Dynamic recrystallization in nickel and nickel-iron alloys during high temperature deformation. Acta Metall. 17(8):1033–1043. https://doi.org/10.1016/0001-6160(69)90049-2CrossRef

Pauskar P, Shivpuri R (1999) Microstructure and Mechanics Interaction in the Modeling of Hot Rolling of Rods. CIRP Ann. 48(1):191–194. https://doi.org/10.1016/S0007-8506(07)63163-1CrossRef

Hensel A, Spittel T (1978) Kraft und Arbeitsbedarf bildsamer Formgebungsverfahren. Leizig, VEB Deutscher Verlag für Grundstoffindustrie

Jäckel I (1991) Application-oriented modelling of hot yield strength of metallic materials. Steel Res. 62(10):441–446. https://doi.org/10.1002/srin.199100425CrossRef

Gavrus A, Massoni E, Chenot JL (1998) The analysis of inelastic behaviour formulated as an inverse rheological approach. Meas. Sci. Technol. 9(6):848–863. https://doi.org/10.1088/0957-0233/9/6/002CrossRefMATH

10.

Bariani PF, Dal Negro T, Bruschi S (2004) Testing and modelling of material response to deformation in bulk metal forming. CIRP Ann.-Manuf. Technol. 53(2):573–595CrossRef

11.

Lin YC, Chen X-M (2011) A critical review of experimental results and constitutive descriptions for metals and alloys in hot working. Mater. Des. 32(4):1733–1759. https://doi.org/10.1016/j.matdes.2010.11.048CrossRef

12.

Gelin JC, Ghouati O (1994) An inverse method for determining viscoplastic properties of aluminium alloys. J. Mater. Process. Technol. 45(1–4):435–440. https://doi.org/10.1016/0924-0136(94)90378-6CrossRef

13.

Gavrus A, Massoni E, Chenot JL (1996) An inverse analysis using a finite element model for identification of rheological parameters. J. Mater. Process. Technol. 60(1–4):447–454. https://doi.org/10.1016/0924-0136(96)02369-2CrossRef

14.

Kowalski B, Sellars CM, Pietrzyk M (2006) Identification of rheological parameters on the basis of plane strain compression tests on specimens of various initial dimensions. Comput. Mater. Sci. 35(2):92–97. https://doi.org/10.1016/j.commatsci.2005.02.024CrossRef

15.

Khoddam S, Hodgson PD, Jafari Bahramabadi M (2011) An inverse thermal–mechanical analysis of the hot torsion test for calibrating the constitutive parameters. Mater. Des. 32(4):1903–1909. https://doi.org/10.1016/j.matdes.2010.12.010CrossRef

16.

Mahnken R, Stein E (1994) The identification of parameters for visco-plastic models via finite-element methods and gradient methods. Model. Simul. Mater. Sci. Eng. 2(3A):597–616. https://doi.org/10.1088/0965-0393/2/3A/013CrossRef

17.

Andrade-Campos A, Thuillier S, Pilvin P, Teixeira-Dias F (2007) On the determination of material parameters for internal variable thermoelastic–viscoplastic constitutive models. Int. J. Plast. 23(8):1349–1379. https://doi.org/10.1016/j.ijplas.2006.09.002CrossRefMATH

18.

de-Carvalho R, Valente RAF, Andrade-Campos A (2011) Optimization strategies for non-linear material parameters identification in metal forming problems. Comput. Struct. 89(1–2):246–255. https://doi.org/10.1016/j.compstruc.2010.10.002CrossRef

19.

Marie S, Ducloux R, Lasne P, Barlier J, Fourment L (2014) Inverse Analysis of Forming Processes based on FORGE environment, in Key Engineering Materials, 611, 1494–1502, Accessed: Apr. 25, 2017. [Online]. Available: http://www.scientific.net/KEM.611-612.1494

20.

Pöhlandt K (1989) Materials Testing for the Metal Forming Industry. Berlin, Heidelberg: Springer Berlin Heidelberg

21.

Gavrus A, Francillette H, Pham DT (2012) An optimal forward extrusion device proposed for numerical and experimental analysis of materials tribological properties corresponding to bulk forming processes. Tribol. Int. 47:105–121. https://doi.org/10.1016/j.triboint.2011.10.013CrossRef

22.

Diot S, Guines D, Gavrus A, Ragneau E (2009) Minimization of Friction Influence on the Evaluation of Rheological Parameters From Compression Test: Application to a Forging Steel Behavior Identification. J. Eng. Mater. Technol. 131(1):011001. https://doi.org/10.1115/1.3026543CrossRef

23.

Hor A, Morel F, Lebrun J-L, Germain G (2013) Modelling, identification and application of phenomenological constitutive laws over a large strain rate and temperature range. Mech. Mater. 64:91–110. https://doi.org/10.1016/j.mechmat.2013.05.002CrossRef

24.

Pietrzyk M, Jedrzejewski J (2001) Identification of parameters in the history dependent constitutive model for steels. CIRP Ann.-Manuf. Technol. 50(1):161–164CrossRef

25.

Szeliga D, Gawad J, Pietrzyk M (2006) Inverse analysis for identification of rheological and friction models in metal forming. Comput. Methods Appl. Mech. Eng. 195(48–49):6778–6798. https://doi.org/10.1016/j.cma.2005.03.015CrossRefMATH

26.

Sztangret ł, Szeliga D, Kusiak J, Pietrzyk M (2012) Application of inverse analysis with metamodelling for identification of metal flow stress. Can. Metall. Q. 51(4):440–446. https://doi.org/10.1179/1879139512Y.0000000035CrossRef

27.

Hor A, Morel F, Lebrun J-L, Germain G (2013) An experimental investigation of the behaviour of steels over large temperature and strain rate ranges. Int. J. Mech. Sci. 67:108–122. https://doi.org/10.1016/j.ijmecsci.2013.01.003CrossRef

28.

Zhang C, Bellet M, Bobadilla M, Shen H, Liu B (2010) A Coupled Electrical–Thermal–Mechanical Modeling of Gleeble Tensile Tests for Ultra-High-Strength (UHS) Steel at a High Temperature. Metall. Mater. Trans. A 41(9):2304–2317. https://doi.org/10.1007/s11661-010-0310-7CrossRef

29.

Pidvysotskyy V, Łapczyński Z (2018) Characterization of a steel grade on Gleeble simulator, Instytut metalurgii Zelaza, Poland, technical report B0–1613

30.

Durand C, Bigot R, Baudouin C (2018) Contribution to characterization of metal forming machines: application to screw presses. Procedia Manuf. 15:1024–1032. https://doi.org/10.1016/j.promfg.2018.07.391CrossRef

31.

Diot S, Guines D, Gavrus A, Ragneau E (2007) Two-step procedure for identification of metal behavior from dynamic compression tests. Int. J. Impact Eng. 34(7):1163–1184. https://doi.org/10.1016/j.ijimpeng.2006.07.003CrossRef

32.

Wang J, Langlois L, Rafiq M, Bigot R, Lu H (2014) Study of the hot forging of weld cladded work pieces using upsetting tests. J. Mater. Process. Technol. 214(2):365–379. https://doi.org/10.1016/j.jmatprotec.2013.09.009CrossRef

33.

Venet G, Balan T, Baudouin C, Bigot R (2018) Direct usage of the wire drawing process for large strain parameter identification. Int. J. Mater. Form. https://doi.org/10.1007/s12289-018-01458-z

34.

Emmerich M, Giotis A, Özdemir M, Bäck T, Giannakoglou K (2002) Metamodel—Assisted Evolution Strategies. In: Guervós JJM, Adamidis P, Beyer H-G, Schwefel H-P, Fernández-Villacañas J-L (eds) Parallel Problem Solving from Nature — PPSN VII, vol. 2439. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 361–370

35.

Male AT, Cockcroft MG (1964) A Method for the Determination of the Coefficient of Friction of Metals under Conditions of Bulk Plastic Deformation. J Inst Met. 93:38–46

36.

Charpentier PL, Stone BC, Ernst SC, Thomas JF (1986) Characterization and modeling of the high temperature flow behavior of aluminum alloy 2024. Metall. Trans. A 17(12):2227–2237. https://doi.org/10.1007/BF02645920CrossRef

37.

Lee CH, Altan T (1972) Influence of Flow Stress and Friction Upon Metal Flow in Upset Forging of Rings and Cylinders. J. Eng. Ind. 94(3):775. https://doi.org/10.1115/1.3428250CrossRef

38.

Saha PK, Wilson WRD (1994) Influence of plastic strain on friction in sheet metal forming. Wear 172(2):167–173. https://doi.org/10.1016/0043-1648(94)90284-4CrossRef

Title: Parameter identification of 42CrMo4 steel hot forging plastic flow behaviour using industrial upsetting presses and finite element simulations
Authors: Gabriel Venet
Cyrille Baudouin
Corentin Pondaven
Régis Bigot
Tudor Balan
Publication date: 08-01-2021
Publisher: Springer Paris
Published in: International Journal of Material Forming / Issue 5/2021
Print ISSN: 1960-6206
Electronic ISSN: 1960-6214
DOI: https://doi.org/10.1007/s12289-020-01609-1

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 5/2021

Study of forming limit diagram (FLD) prediction of anisotropic sheet metals using Gurson model in M-K method

Determination of the forming limit of impact hydroforming by frictionless full zone hydraulic forming test

The superplastic forming/diffusion bonding and mechanical property of TA15 alloy for four‐layer hollow structure with squad grid

Crimp joint with low sensitivity to process parameters: numerical and experimental study

Mold filling simulation and experimental investigation of metallic feedstock used in low-pressure powder injection molding

Correction to: reduced order modeling of selective laser melting: from calibration to parametric part distortion

Premium Partners