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HomeSolid State PhenomenaSolid State Phenomena Vol. 388Work Hardening of Dual Phase Steel in Subsequent...

Work Hardening of Dual Phase Steel in Subsequent Tensile Testing with Post-Necking Large Pre-Strain

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Abstract:

For high-accuracy finite element (FE) simulation of automobile crashing behavior, a work hardening curve that involves pre-strain from press forming is required. Here, the plastic strains exceeding the uniform deformation region are generally introduced through processes such as bending, but such large pre-strain effect have not been reported. Therefore, in this study, for DP590 steel, the work hardening curve for second-stage tension under pre-strain exceeding the uniform deformation region was identified. This identification was enabled by the diameter measurement tensile test developed by the authors. As a result, in the second-stage tension in the same direction as the first-stage tension, the initial yield stress showed a tendency to overshoot relative to the original work hardening curve, revealing that strain aging occurred. The overshoot portion formed a stress plateau that continued up to an equivalent plastic strain of 0.18. Such a tendency has not been observed in DP590 steel, making this a phenomenon revealed for the first time. When the tensile direction in the second stage was orthogonal to the first stage, the cross-hardening effect (reduction in initial yielding due to the Bauschinger effect and overshoot from the original work hardening curve) was observed. The stress plateau region due to overshoot continued up to an equivalent plastic strain as large as 0.6. These large plateaus concluded that work hardening presents perfect plasticity at large deformed press parts.

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Formability of Metallic Materials

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Periodical:

Solid State Phenomena (Volume 388)

Pages:

11-19

DOI:

https://doi.org/10.4028/p-y1W1Ey

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Online since:

April 2026

Authors:

Takashi Matsuno*, Keisuke Hokimoto, Kazuyuki Shimizu, Takayuki Hama, Yoshiaki Honda

Keywords:

Dual Phase Steel, Post-Necking, Pre-Strain, Strain-Aging, Tensile Test

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Creative Commons CC BY 4.0

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* - Corresponding Author

[1] T. Matsuno, K. Nakagiri, T. Matsuda, T. Tanaka, T. Yasutomi, H. Shoji, & M. Ohata, Identification of ductile fracture design curve for hardened quasi-brittle AISI-D2 tool steel to predict shearing tool failure, J. Mater. Process. Technol., 307(2022), 117680.

DOI: 10.1016/j.jmatprotec.2022.117680

[2] T. Matsuno, Y. Ueda, T. Takahashi, T. Hama, T. Hojo, Y. Shibayama, M. Ridha, Y. Okitsu, & M. Takamura, Delayed fracture stress thresholds degraded by shear punching process in ultra-high-strength steel sheets: Analysis using an in-plane bending test with numerical assimilation, J. Manuf. Process., 119 (2024) 1005-1021.

DOI: 10.1016/j.jmapro.2024.04.013

[3] J. Eguchi, T. Matsuno, Y. Kunii, K. Shimizu, Y. Matsuki, T. Shinmiya, & E. Iizuka, Observation-driven punching simulation using a quasi-nonparametric ductile fracture locus, J. Mater. Process. Technol., (2026) 119243.

DOI: 10.1016/j.jmatprotec.2026.119243

[4] T. Matsuno, Y. Ochiai, Y. Okitsu, M. Iga, A. Khori, & T. Mikami, Surface and interior residual stress analysis of a deep-drawn 1180 MPa class ultra-high strength steel sheet with scratch marks, Int. J. Adv. Manuf. Technol., 116 (2021) 2873-2884.

DOI: 10.1007/s00170-021-07675-2

[5] T. Matsuno, N. Kinoshita, T. Matsuda, Y. Honda, & T. Yasutomi, Microvoid formation of ferrite-martensite dual-phase steel via tensile deformation after severe plastic shear-deformation, ISIJ Int., 63 (2023) 941-949.

DOI: 10.2355/isijinternational.ISIJINT-2023-012

[6] T. Matsuno, Y. Sekito, & K. Kawasaki, Microstructure characterization of fine grains near hot-sheared surface formed during hot-stamping process, J. Mater. Process. Technol., 229 (2016) 570-581.

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[7] T. Matsuno，N. Kinoshita, K. Shimizu, H. Shoji, & M. Ohata, Microstructural feature-driven post-mortem analysis of plastic strain and stress triaxiality in ductile-fractured ferrite-martensite dual-phase steel: Integrating microstructural observations and mesoscale finite element simulations, J. Mater. Res. Technol. 39(2025), 3087-3102.

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[11] T. Matsuno, N. Kinoshita, K. Hokimoto, T. Hama, & Y. Honda, Enhancement of fracture strain during abrupt orthogonal strain-path changes in ferrite/martensite dual phase steel, Mater. Res. Proc., 41(2023), 118.

DOI: 10.21741/9781644903131-118

[12] T. Matsuno, D. Kondo, T. Hama, T. Naito, Y. Okitsu, S. Hayashi, K. Takada, Flow stress curves for 980MPa- and 1.5GPa-class ultra-high-strength steel sheets weakened under high-stress triaxiality, Int. J. Mech. Sci., 261(2024), 108671.

DOI: 10.1016/j.ijmecsci.2023.108671

[13] T. Matsuno, T. Fujita, T. Matsuda, T. Shibayama, T. Hojo, I. Watanabe, Unstable stress-triaxiality development and contrasting weakening in two types of high-strength transformation-induced plasticity (TRIP) steels: Insights from a new compact tensile testing method, J. Mater. Process. Technol., 322(2023), 118174.

DOI: 10.1016/j.jmatprotec.2023.118174

[14] T. Matsuno, Y. Yamazaki, S. Matsubara, J. Eguchi, K. Shimizu, M. Koyama, ... & T. Tsuchiyama, Local work-hardening and Lüders deformation invariance in TRIP-aided medium-Mn high-strength steel: Significant TRIP effect changes in the warm temperature range up to 200℃, J. Jpn. Soc. Technol. Plast., 66(2025), 61-68.

DOI: 10.9773/sosei.240702

[15] T. Matsuno, K. Furukawa, Y. Okitsu, M. Koyama, & T. Tsuchiyama, Local yield stress and its unusual independence on multi-axial stress states during Lüders deformation of medium-Mn, high-strength steel, ISIJ Int., 64 (2024) 859-867.

DOI: 10.2355/isijinternational.ISIJINT-2023-326

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[17] T. Matsuno, N. Okumura, Y. Fukuda, K. Shimizu & T. Murai, Direct solution of inverse deformation problem for dual-phase steel microstructures: U-net deep fake for pseudo-inverse finite-element simulation using representative volume elements, Mater. Today Commun., 46(2025), 112769.

DOI: 10.1016/j.mtcomm.2025.112769

[18] T. Matsuno, Y. Fukuda, K. Shimizu, H. Shoji, M. Ohata, N. Yamashita, H. Yokota & T. Murai, Image-assimilation of deformed dual-phase steel microstructure via U-net deep learning, Mater. Res. Proc., 54(2025), 963-970.

DOI: 10.21741/9781644903599-103