[1]
R. Kuziak, R. Kawalla, S. Waengler, Advanced high strength steels for automotive industry, Archives of Civil and Mechanical Engineering 8 (2008) 103–117.
DOI: 10.1016/S1644-9665(12)60197-6
Google Scholar
[2]
N. Baluch, Z.M. Udin, C.S. Abdullah, Advanced High Strength Steel in Auto Industry: an Overview, Eng. Technol. Appl. Sci. Res. 4 (2014) 686–689.
DOI: 10.48084/etasr.444
Google Scholar
[3]
C.D. Horvath, Advanced steels for lightweight automotive structures, in: P.K. Mallick (Ed.), Materials, design and manufacturing for lightweight vehicles, Second edition, Woodhead Publishing an imprint of Elsevier, Oxford, 2021, p.39–95.
DOI: 10.1016/b978-0-12-818712-8.00002-1
Google Scholar
[4]
C.C. Tasan, M. Diehl, D. Yan, M. Bechtold, F. Roters, L. Schemmann, C. Zheng, N. Peranio, D. Ponge, M. Koyama, K. Tsuzaki, D. Raabe, An Overview of Dual-Phase Steels: Advances in Microstructure-Oriented Processing and Micromechanically Guided Design, Annu. Rev. Mater. Res. 45 (2015) 391–431.
DOI: 10.1146/annurev-matsci-070214-021103
Google Scholar
[5]
K. Park, M. Nishiyama, N. Nakada, T. Tsuchiyama, S. Takaki, Effect of the martensite distribution on the strain hardening and ductile fracture behaviors in dual-phase steel, Materials Science and Engineering: A 604 (2014) 135–141.
DOI: 10.1016/j.msea.2014.02.058
Google Scholar
[6]
M.T. Kim, T.M. Park, K.-H. Baik, W.S. Choi, J. Han, Effects of cold rolling reduction ratio on microstructures and tensile properties of intercritically annealed medium-Mn steels, Materials Science and Engineering: A 752 (2019) 43–54.
DOI: 10.1016/j.msea.2019.02.091
Google Scholar
[7]
E. Evin, J. Kepič, K. Buriková, M. Tomáš, The Prediction of the Mechanical Properties for Dual-Phase High Strength Steel Grades Based on Microstructure Characteristics, Metals 8 (2018) 242.
DOI: 10.3390/met8040242
Google Scholar
[8]
M. Müller, N. Fehlemann, T. Herrig, D. Lenz, M. Könemann, T. Bergs, S. Münstermann, Forming Limit of Dual Phase Steel: An Experimental and Numerical Investigation, in: K. Mocellin, P.-O. Bouchard, R. Bigot, T. Balan (Eds.), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity: ICTP 2023 - Volume 2, firstst ed. twentiethtwenty-fourth, Springer Nature Switzerland; Imprint Springer, Cham, 2024, p.184–193.
DOI: 10.1007/978-3-031-40920-2_20
Google Scholar
[9]
B. Wu, X. Li, Y. Di, V. Brinnel, J. Lian, S. Münstermann, Extension of the modified Bai-Wierzbicki model for predicting ductile fracture under complex loading conditions, Fatigue Fract Eng Mat Struct 40 (2017) 2152–2168.
DOI: 10.1111/ffe.12645
Google Scholar
[10]
J. Lian, M. Sharaf, F. Archie, S. Münstermann, A hybrid approach for modelling of plasticity and failure behaviour of advanced high-strength steel sheets, International Journal of Damage Mechanics 22 (2013) 188–218.
DOI: 10.1177/1056789512439319
Google Scholar
[11]
N. Kusampudi, M. Diehl, Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization, International Journal of Plasticity 171 (2023) 103776.
DOI: 10.1016/j.ijplas.2023.103776
Google Scholar
[12]
M. Diehl, M. Groeber, C. Haase, D.A. Molodov, F. Roters, D. Raabe, Identifying Structure–Property Relationships Through DREAM.3D Representative Volume Elements and DAMASK Crystal Plasticity Simulations: An Integrated Computational Materials Engineering Approach, JOM 69 (2017) 848–855.
DOI: 10.1007/s11837-017-2303-0
Google Scholar
[13]
N. Vajragupta, P. Wechsuwanmanee, J. Lian, M. Sharaf, S. Münstermann, A. Ma, A. Hartmaier, W. Bleck, The modeling scheme to evaluate the influence of microstructure features on microcrack formation of DP-steel: The artificial microstructure model and its application to predict the strain hardening behavior, Computational Materials Science 94 (2014) 198–213.
DOI: 10.1016/j.commatsci.2014.04.011
Google Scholar
[14]
S. Bargmann, B. Klusemann, J. Markmann, J.E. Schnabel, K. Schneider, C. Soyarslan, J. Wilmers, Generation of 3D representative volume elements for heterogeneous materials: A review, Progress in Materials Science 96 (2018) 322–384.
DOI: 10.1016/j.pmatsci.2018.02.003
Google Scholar
[15]
M. Henrich, N. Fehlemann, F. Bexter, M. Neite, L. Kong, F. Shen, M.J. Könemann, M. Dölz, S. Münstermann, DRAGen - A deep learning supported RVE generator framework for complex microstructure models, Heliyon 9 (2023) e19003.
DOI: 10.1016/j.heliyon.2023.e19003
Google Scholar
[16]
C.C. Tasan, J. Hoefnagels, M. Geers, Microstructural banding effects clarified through micrographic digital image correlation, Scripta Materialia 62 (2010) 835–838.
DOI: 10.1016/j.scriptamat.2010.02.014
Google Scholar
[17]
N. Fehlemann, A.L. Suarez Aguilera, S. Sandfeld, F. Bexter, M. Neite, D. Lenz, M. Könemann, S. Münstermann, 2023. Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network. steel research int. 94, 2200836.
DOI: 10.1002/srin.202200836
Google Scholar
[18]
F. Roters, M. Diehl, P. Shanthraj, P. Eisenlohr, C. Reuber, S.L. Wong, T. Maiti, A. Ebrahimi, T. Hochrainer, H.-O. Fabritius, S.D. Nikolov, M. Friák, N. Fujita, N. Grilli, K.G. Janssens, N. Jia, P.J. Kok, D. Ma, F. Meier, E. Werner, M. Stricker, D.M. Weygand, D. Raabe, DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale, Computational Materials Science 158 (2019) 420–478.
DOI: 10.1016/j.commatsci.2018.04.030
Google Scholar
[19]
G. Avramovic-Cingara, Y. Ososkov, M.K. Jain, D.S. Wilkinson, Effect of martensite distribution on damage behaviour in DP600 dual phase steels, Materials Science and Engineering: A 516 (2009) 7–16.
DOI: 10.1016/j.msea.2009.03.055
Google Scholar
[20]
E.E. Aşık, E.S. Perdahcıoğlu, T. van den Boogaard, An RVE-Based Study of the Effect of Martensite Banding on Damage Evolution in Dual Phase Steels, Materials (Basel) 13 (2020).
DOI: 10.3390/ma13071795
Google Scholar
[21]
C. Tian, C.F. Kusche, A. Medina, S. Lee, M.A. Wollenweber, R. Pippan, S. Korte-Kerzel, C. Kirchlechner, Understanding the damage initiation and growth mechanisms of two DP800 dual phase grades, Materials & Design 238 (2024) 112630.
DOI: 10.1016/j.matdes.2024.112630
Google Scholar
[22]
Q. Lai, O. Bouaziz, M. Gouné, L. Brassart, M. Verdier, G. Parry, A. Perlade, Y. Bréchet, T. Pardoen, Damage and fracture of dual-phase steels: Influence of martensite volume fraction, Materials Science and Engineering: A 646 (2015) 322–331.
DOI: 10.1016/j.msea.2015.08.073
Google Scholar
[23]
C.C. Tasan, J. Hoefnagels, M. Diehl, D. Yan, F. Roters, D. Raabe, Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations, International Journal of Plasticity 63 (2014) 198–210.
DOI: 10.1016/j.ijplas.2014.06.004
Google Scholar
[24]
T. de Geus, R. Peerlings, M. Geers, Competing damage mechanisms in a two-phase microstructure: How microstructure and loading conditions determine the onset of fracture, International Journal of Solids and Structures 97-98 (2016) 687–698.
DOI: 10.1016/j.ijsolstr.2016.03.029
Google Scholar
[25]
I.U. Aydiner, B. Tatli, T. Yalçinkaya, Investigation of failure mechanisms in dual-phase steels through cohesive zone modeling and crystal plasticity frameworks, International Journal of Plasticity 174 (2024) 103898.
DOI: 10.1016/j.ijplas.2024.103898
Google Scholar
[26]
L. Liu, F. Maresca, T. Vermeij, J. Hoefnagels, M. Geers, V.G. Kouznetsova, An integrated experimental-numerical study of martensite/ferrite interface damage initiation in dual-phase steels, Scripta Materialia 239 (2024) 115798.
DOI: 10.1016/j.scriptamat.2023.115798
Google Scholar
[27]
A. Ramazani, Y. Chang, U. Prahl, Characterization and Modeling of Failure Initiation in Bainite‐Aided DP Steel, Adv Eng Mater 16 (2014) 1370–1380.
DOI: 10.1002/adem.201300556
Google Scholar
[28]
F.-J. Gallardo-Basile, Y. Naunheim, F. Roters, M. Diehl, Lath Martensite Microstructure Modeling: A High-Resolution Crystal Plasticity Simulation Study, Materials (Basel) 14 (2021).
DOI: 10.3390/ma14030691
Google Scholar
[29]
N.C. Fehlemann, I. Biermann, S. Münstermann, Exploring structure–property relations in dual phase steels using crystal plasticity and variance based global sensitivity analysis, Materials & Design 259 (2025) 114794.
DOI: 10.1016/j.matdes.2025.114794
Google Scholar
[30]
F. Pütz, M. Henrich, N. Fehlemann, A. Roth, S. Münstermann, Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks, Materials (Basel) 13 (2020).
DOI: 10.3390/ma13194236
Google Scholar
[31]
C. Zeng, X. Fang, Specimen geometry design for plasticity and fracture characterization of sheet metal under high testing speed and various stress states, Thin-Walled Structures 186 (2023) 110688.
DOI: 10.1016/j.tws.2023.110688
Google Scholar
[32]
N.C. Fehlemann, A. Medina, S. Lee, C. Kirchlechner, S. Münstermann, Crystal plasticity parameter identification via statistical relevant micropillar compression, Acta Materialia 297 (2025) 121321.
DOI: 10.1016/j.actamat.2025.121321
Google Scholar
[33]
R.-M. Rodriguez, I. Gutiérrez, Unified Formulation to Predict the Tensile Curves of Steels with Different Microstructures, MSF 426-432 (2003) 4525–4530.
DOI: 10.4028/www.scientific.net/MSF.426-432.4525
Google Scholar
[34]
I. Gutiérrez, Ame Modelling the Mechanical Behaviour of Steels with Mixed Microstructures, J. Metall. Mater. Eng 11 (2005) 201–214.
Google Scholar
[35]
M. Diehl, M. Wicke, P. Shanthraj, F. Roters, A. Brueckner-Foit, D. Raabe, Coupled Crystal Plasticity–Phase Field Fracture Simulation Study on Damage Evolution Around a Void: Pore Shape Versus Crystallographic Orientation, JOM 69 (2017) 872–878.
DOI: 10.1007/s11837-017-2308-8
Google Scholar
[36]
C. Tian, C. Kirchlechner, The fracture toughness of martensite islands in dual-phase DP800 steel, Journal of Materials Research 36(2021) 2495-2504.
DOI: 10.1557/s43578-021-00150-4
Google Scholar