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Numerical investigation and experimental validation of a plasticity model for sheet steel forming
- Source :
- Modelling and Simulation in Materials Science and Engineering, Modelling and Simulation in Materials Science and Engineering, IOP Publishing, 2013, 21 (1), pp.015008. ⟨10.1088/0965-0393/21/1/015008⟩, Modelling and Simulation in Materials Science and Engineering, IOP Publishing, 2013, 21 (1), 28 pp. ⟨10.1088/0965-0393/21/1/015008⟩
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- This paper investigates a recently developed elasto-plastic constitutive model. For this purpose, the model was implemented in a commercial finite element code and was used to simulate the cross-die deep drawing test. Deep drawing experiments and numerical simulations were conducted for five interstitial-free steels and seven dual-phase steels, each of them having a different thickness and strength. The main interest of the adopted model is a very efficient parameter identification procedure, due to the physical background of the model and the physical significance of some of its parameters and state variables. Indeed, the dislocation density, grain size, and martensite volume fraction explicitly enter the model’s formulation, although the overall approach is macroscopic. For the dual-phase steels, only the chemical composition and the average grain sizes were measured for the martensite and ferrite grains, as well as the martensite volume fraction. The mild steels required three additional tensile tests along three directions, in order to describe the plastic anisotropy. Information concerning the transient mechanical behavior after strain-path changes (reverse and orthogonal) was not collected for each material, but for only one material of each family of steels (IF, DP), based on previous works available in the literature. This minimalistic experimental base was used to feed the numerical simulations for the twelve materials that were confronted to deep drawing experiments in terms of thickness distributions. The results suggested that the accuracy of the numerical simulations is very satisfactory in spite of the scarce experimental input data. Additional investigations indicated that the modeling of the transient behavior due to strain-path changes may have a significant impact on the simulation results, and that the adopted approach provides a simple and efficient alternative in this regard.; International audience; This paper investigates a recently developed elasto-plastic constitutive model. For this purpose, the model was implemented in a commercial finite element code and was used to simulate the cross-die deep drawing test. Deep drawing experiments and numerical simulations were conducted for five interstitial-free steels and seven dual-phase steels, each of them having a different thickness and strength. The main interest of the adopted model is a very efficient parameter identification procedure, due to the physical background of the model and the physical significance of some of its parameters and state variables. Indeed, the dislocation density, grain size, and martensite volume fraction explicitly enter the model’s formulation, although the overall approach is macroscopic. For the dual-phase steels, only the chemical composition and the average grain sizes were measured for the martensite and ferrite grains, as well as the martensite volume fraction. The mild steels required three additional tensile tests along three directions, in order to describe the plastic anisotropy. Information concerning the transient mechanical behavior after strain-path changes (reverse and orthogonal) was not collected for each material, but for only one material of each family of steels (IF, DP), based on previous works available in the literature. This minimalistic experimental base was used to feed the numerical simulations for the twelve materials that were confronted to deep drawing experiments in terms of thickness distributions. The results suggested that the accuracy of the numerical simulations is very satisfactory in spite of the scarce experimental input data. Additional investigations indicated that the modeling of the transient behavior due to strain-path changes may have a significant impact on the simulation results, and that the adopted approach provides a simple and efficient alternative in this regard.
- Subjects :
- State variable
Materials science
Constitutive equation
[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]
02 engineering and technology
Plasticity
01 natural sciences
Interstitial Free steels
[SPI.MAT]Engineering Sciences [physics]/Materials
Elasto-plastic model
[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]
[SPI]Engineering Sciences [physics]
0103 physical sciences
[PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]
[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]
General Materials Science
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
Mécanique: Mécanique des matériaux [Sciences de l'ingénieur]
Deep drawing
Anisotropy
ComputingMilieux_MISCELLANEOUS
010302 applied physics
Metallurgy
Cross-Die test
Mechanics
Non-linear strain paths
Metal forming
[PHYS.MECA]Physics [physics]/Mechanics [physics]
021001 nanoscience & nanotechnology
Condensed Matter Physics
Finite element method
Computer Science Applications
Dual Phase steels
Mechanics of Materials
Modeling and Simulation
Martensite
Finite Element Method
Volume fraction
0210 nano-technology
Subjects
Details
- Language :
- English
- ISSN :
- 09650393 and 1361651X
- Database :
- OpenAIRE
- Journal :
- Modelling and Simulation in Materials Science and Engineering, Modelling and Simulation in Materials Science and Engineering, IOP Publishing, 2013, 21 (1), pp.015008. ⟨10.1088/0965-0393/21/1/015008⟩, Modelling and Simulation in Materials Science and Engineering, IOP Publishing, 2013, 21 (1), 28 pp. ⟨10.1088/0965-0393/21/1/015008⟩
- Accession number :
- edsair.doi.dedup.....874278a359c104d93f7ae29e969e7189