Zeitschriftenbeiträge / Journals


Kaiser, T., Dehm, G., Kirchlechner, C., Menzel, A., Bishara, H. 2022. Probing porosity in metals by electrical conductivity: Nanoscale experiments and multiscale simulations. European Journal of echanics - A/Solids. 97. 104777. https://doi.org/10.1016/j.euromechsol.2022.104777


Moehring, K., Walther, F. 2022. Forming Stress-Induced Initial Damage in Case Hardening Steel 16MnCrS5 Under Cyclic Axial Loading in LCF Regime.  Materials 2020, 13(11), 2463. https://doi.org/10.3390/ma13112463

Nick, M., Feuerhack, A., Bergs, T., Clausmeyer, T. 2020. Numerical Investigation of Damage in Single-step, Two-step, and Reverse Deep Drawing of Rotationally Symmetric Cups from DP800 Dual Phase Steel. Procedia Manufacturing. https://doi.org/10.4028/p-29o20d

Oppermann, P., Denzer, R., Menzel, A. 2022. A thermo-viscoplasticity model for metals over wide temperature ranges- application to case hardening steel. Computational Mechanics. 69. https://doi.org/10.1007/s00466-021-02103-4


Baak, N., Hajavifard, R., Lücker, L., Rozo J., Strodick, S., Teschke, M., Walther, F. 2021. Micromagnetic approaches for microstructure analysis and capability assessment. Materials Characterization. 178. 111189. https://doi.org/10.1016/j.matchar.2021.111189

Kaiser, T., Cordill, M.J., Kirchlechner, C., Menzel, A., 2021. Electrical and mechanical behaviour of metal thin films with deformation-induced cracks predicted by computational homogenisation. International Journal of Fracture 231 (2), 223-242. https://doi.org/10.1007/s10704-021-00582-3

Kaiser, T., Menzel, A., 2021. A finite deformation electro-mechanically coupled computational multiscale formulation for electrical conductors. Acta Mechanica 232 (10), 3939-3956. https://doi.org/10.1007/s00707-021-03005-5

Kaiser, T., Menzel, A., 2021. Fundamentals of electro-mechanically coupled cohesive zone formulations for electrical conductors. Compuational Mechanics 68, 51-67. https://doi.org/10.1007/s00466-021-02019-z

Kaiser, T., Menzel, A., 2021. An electro-mechanically coupled compuational multiscale formulation for electrical conductors. Archive of Applied Mechanics 91, 1509-1526. https://doi.org/10.1007/s00419-020-01837-6

Langenfeld, K., Möhring, K., Walther, F., Mosler, J. 2021. Modeling gradient‐enhanced anisotropic ductile damage: Application to low cycle fatigue. PAMM. 20. https://doi.org/10.1002/pamm.202000157

Meyer, K.A., Menzel, A., 2021. A distortional hardening model for finite plasticity. International Journal of Solids and Structures 232. https://doi.org/10.1016/j.ijsolstr.2021.111055

Rose, L., Menzel, A., 2021. Identification of thermal material parameters for thermo-mechanically coupled material models. Meccanica 56, 393-416. https://doi.org/10.1007/s11012-020-01267-2

Schowtjak, A., Schulte, R., Clausmeyer, T., Ostwald, R., Tekkaya, A.E., Menzel, A., 2021. ADAPT – A Diversely Applicable Parameter Identification Tool: Overview and full-field application examples. International Journal of Mechanical Sciences 213, 106840. https://doi.org/10.1016/j.ijmecsci.2021.106840

Tian, C., Kirchlechner, C., 2021. The fracture toughness of martensite islands in dual-phase DP800 steel. Journal of Materials Research 36(12), pp. 2495-2504 https://doi.org/10.1557/s43578-021-00150-4

Tian, C., Dehm, G.,Kirchlechner, C., 2021. Influence of strain rate on the activation of {110}, {112}, {123} slip in ferrite of DP800. Materialia 15, 100983 https://doi.org/10.1016/j.mtla.2020.100983



Guhr, F., Sprave, L., Barthold, F.-J., Menzel, A., 2020. Computational shape optimisation for a gradient-enhanced continuum damage model. Computational Mechanics 65. https://doi.org/10.1007/s00466-019-01810-3

Henrich, M., Pütz, F., Münstermann, S., 2020. A novel Approach to Discrete RVE Automation and Generation – DRAGen. Materials 13 (8). https://doi.org/10.3390/ma13081887

Hering, O., Tekkaya, A. E., 2020. Damage-induced performance variations of cold forged parts. Journal of Materials Processing Technology 279, DOI: 10.1016/j.jmatprotec.2019.116556.

Hirt, G., Tekkaya, A. E., Clausmeyer, T., Lohmar, J., 2020. Potential and status of damage controlled forming processes. Production Engineering 14 (1), pp. 1-4. https://doi.org/10.1007/s11740-019-00948-6

Imran, M., Afzal, M. J., Buhl, J., Bambach, M., Dunlap, A., Schwedt, A., Aretz, A., Wang, S., Lohmar, J., Hirt, G., 2020. Evaluation of process-induced damage based on dynamic recrystallization during hot caliber rolling. Production Engineering 14 (1), pp. 5-16.

Imran, M., Szyndler, J., Afzal, M. J., Bambach, M., 2020. Dynamic recrystallization-dependent damage modeling during hot forming. International Journal of Damage Mechanics 29 (2), pp. 335-363.

Kusche, C.F., Gibson, J. S. K.-L., Wollenweber, M. A., Korte-Kerzel, S., 2020. On the mechanical properties and deformation mechanisms of manganese sulphide inclusions. Materials & Design 193, DOI: 10.1016/j.matdes.2020.108801.

Kusche, C.F., Pütz, F., Münstermann, S., Al-Samman, T., Korte-Kerzel, S., 2020. On the effect of strain and triaxiality on void evolution in a heterogeneous microstructure - A statistical and single void study of damage in DP800. http://arxiv.org/abs/2006.02773

Kusche, C. F., Dunlap, A., Pütz, F., Tian, C., Kirchlechner, C., Aretz, A., Schwedt, A., Al-Samman, T., Münstermann, S., Korte-Kerzel, S., 2020. Efficient characterization tools for deformation‑induced damage at different scales. Production Engineering 14 (1), pp. 95-104.

Langenfeld, K., Schowtjak, A., Schulte, R., Hering, O., Möhring, K., Clausmeyer, T., Ostwald, R., Walther, F., Tekkaya, A. E., Mosler, J., 2020. Influence of anisotropic damage evolution on cold forging. Production Engineering 14 (1), pp. 115-121.

Li, X., Liebsch, C., Hirt, G., Lohmar, J., 2019. Modeling of void healing in hot rolling due to recrystallization. Production Engineering 14 (1), pp. 43-52.

Liebsch, C., Möhring, K., Lohmar, J., Walther, F., Hirt, G., 2020. Investigation on the influence of damage on the fatigue strength of hot rolled sheet metal. Production Engineering 14 (1), pp. 65-75.

Medghalchi, S., Kusche, C. F., Karimi, E., Kerzel, U., Korte-Kerzel, S., 2020. Damage Analysis in Dual-Phase Steel Using Deep Learning: Transfer from Uniaxial to Biaxial Straining Conditions by Image Data Augmentation. Journal of the Minerals, Metals & Materials Society 72, pp. 4420-4430. https://doi.org/10.1007/s11837-020-04404-0

Möhring, K., Walther, F., 2020. Performance-Related Characterization of Forming-Induced Initial damage in 16MnCrS5 steel under a torsional forward-reverse loading path at LCF regime. Materials 13 (11). https://doi.org/10.3390/ma13112463

Möhring, K., Walther, F., 2020. Load direction dependent influence of forming induced initial damage on the fatigue performance of 16MnCrS5 steel. Materials 13 (12). https://doi.org/10.3390/ma13122680

Pütz, F., Henrich, M., Fehlemann, N., Roth, A., Münstermann, S., 2020. Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks. Materials 13 (19). https://doi.org/10.3390/ma13194236

Pütz, F., Shen, F., Könemann, M., Münstermann, S. 2020. The differences of damage initiation and accumulation of DP steels: A numerical and experimental analysis. International Journal of Fracture 226, 1-15. https://doi.org/10.1007/s10704-020-00457-z

Samfaß, L, Baak, N., Meya, R., Hering, O., Tekkaya, A. E., Walther, F., 2020. Micro-magnetic damage characterization of bent and cold forged parts. Production Engineering 14 (1), pp. 77-85.

Schowtjak, A., Wang, S., Hering, O., Clausmeyer, T., Lohmar, J., Schulte, R., Ostwald, R., Hirt, G., Tekkaya, A. E., 2020. Prediction and analysis of damage evolution during caliber rolling and subsequent cold forward extrusion. Production Engineering 14 (1), pp. 33-41.

Schulte, R., Ostwald, R., Menzel, A., 2020. Gradient-Enhanced Modelling of Damage for Rate-Dependent Material Behaviour – A Parameter Identification Framework. Materials 13 (14). https://doi.org/10.3390/ma13143156

Sprave, L., Schowtjak, A., Meya, R., Clausmeyer, T., Tekkaya, A. E., Menzel, A., 2020. On mesh dependencies in finite-element based damage prediction: application to sheet metal bending. Production Engineering 14 (1), pp. 123-134.

Sprave, L., Menzel, A., 2020. A large strain gradient-enhanced ductile damage model - Finite element formulation, experiment and parameter identification. Acta Mechanica, akzeptiert.

Tian, C., Ponge, D., Christiansen, L., Kirchlechner, C., 2020. On the mechanical heterogeneity in dual phase grades: Activation of slip systems and deformation of martensite in DP800. Acta Materialia 183, pp. 274-284. https://doi.org/10.1016/j.actamat.2019.11.002

Tekkaya, A. E., Bouchard, P.-O., Bruschi, S., Tasan, C., 2020. Damage in metal forming. CIRP Annals, DOI: 10.1016/j.cirp.2020.05.005

Teschke, M., Rozo Vasquez, J., Lücker, L., Walther, F., 2020. Characterization of damage evolution on hot flat rolled mild steel sheets by means of micromagnetic parameters and fatigue strength determination. Materials 13 (11), pp. 1-15. https://doi.org/10.3390/ma13112486

Wang, S., Dunlap, A., Möhring, K., Lohmar, J., Schwedt, A., Aretz, A., Walther, F., Hirt, G., 2020. Torsion plastometer trials to investigate the effect of non-proportional loading paths in caliber rolling on damage and performance of metal parts, Production Engineering 14 (1), pp. 17-32. https://doi.org/10.1007/s11740-019-00949-5



Bambach, M., Imran, M., 2019. Extended Gurson-Tvergaard-Needleman model for damage modeling and control in hot forming. CIRP Annals - Manufacturing Technology 68 (1), pp. 249-252.

Bergs, T., Trauth, D., Nick, M., Hild, R., 2019. Contact pressure, slip‑rate, and temperature dependent friction analysis regarding damage free deep drawing of stainless steel. Production Engineering, DOI: 10.1007/s11740-019-00940-0.

Fohrmeister, V., Díaz, G., Mosler, J., 2019. Classic crystal plasticity theory vs. crystal plasticity theory based on strong discontinuities – theoretical and algorithmic aspects. International Journal for Numerical Methods in Engineering 117 (13), pp. 1283-1303.

Hering, O., Dunlap, A., Tekkaya, A. E., Aretz A., Schwedt A., 2019. Characterization of Damage in Forward Rod Extruded Parts. International Journal of Material Forming, DOI: 0.1007/s12289-019-01525-z.

Hering, O., Kolpak, F., Tekkaya, A. E., 2019. Flow Curves up to High Strains Considering Load Reversal and Damage. International Journal of Material Forming 12 (6), pp. 955-972.

Imran, M., Afzal, M.J., Buhl, J., Bambach, M., Dunlap, A., Schwedt, A., Aretz, A., Wang, S., Lohmar, J., Hirt, G. Evaluation of process-induced damage based on dynamic recrystallization during hot caliber rolling. Prod. Eng. Res. Devel. 14, 5–16 (2020). https://doi.org/10.1007/s11740-019-00932-0

Kusche, C., Reclik, T., Freund, M., Kerzel, U., Al-Samman, T., Korte-Kerzel, S., 2019. Large-area, high-resolution characterization and classification of damage mechanisms in dual-phase steel using deep learning. PLoS ONE 14 (5), DOI: 10.1371/journal.pone.0216493.

Langenfeld, K., Mosler, J., 2019. A micromorphic approach for gradient-enhanced anisotropic ductile damage. Computer Methods in Applied Mechanics and Engineering 360, DOI: 10.1016/j.cma.2019.112717.

Meya, R., Kusche, C. F., Löbbe, C., Al-Samman, T., Korte-Kerzel, S., Tekkaya, A. E., 2019. Global and High-Resolution Damage Quantification in Dual-Phase Steel Bending Samples with Varying Stress States. Metals 9 (3). https://doi.org/10.3390/met9030319

Meya, R., Löbbe. C., Tekkaya, A. E., 2019. Stress State Analysis of Radial Stress Superposed Bending. International Journal of Precision Engineering and Manufacturing 20 (1), pp. 53-66.

Meya, R., Löbbe. C., Tekkaya, A. E., 2019. Stress state control by a novel bending process and its effects on damage and product performance. Journal of Manufacturing Science and Engineering 141 (10). https://doi.org/10.1115/1.4044394.

Ostwald, R., Kuhl, E., Menzel, A., 2019. On the implementation of finite deformation gradient-enhanced damage models. Computational Mechanics 64 (3), pp. 847-877.

Zubair, M., Sandlöbes-Haut, S., Wollenweber, M. A., Bugelnig, K., Kusche, C. F., Requena, G., Korte-Kerzel, S., 2019. Strain heterogeneity and micro-damage nucleation under tensile stresses in an Mg–5Al–3Ca alloy with an intermetallic skeleton. Materials Science and Engineering: A 767, DOI: 10.1016/j.msea.2019.138414.

Zubair, M., Sandlöbes, S., Wollenweber, M. A., Kusche, C. F., Hildebrandt, W., Broeckmann, C., Korte-Kerzel, S., 2019. On the role of Laves phases on the mechanical properties of Mg-Al-Ca alloys. Materials Science and Engineering: A 756, pp. 272-283.



Fohrmeister, V., Bartels, A., Mosler, J., 2018. Thermomechanically coupled gradient-enhanced elastoplasticity theory - Variational consistent updates based on hyper-dual numbers. Computer methods in applied mechanics and engineering 339, pp. 239-261.

Heibel, S., Dettinger, T., Nester, W., Clausmeyer, T., Tekkaya, A. E., 2018. Damage Mechanisms and Mechanical Properties of High-Strength Multiphase Steels. Materials 11 (5). https://doi.org/10.3390/ma11050761

Heitbreder, T., Ottosen, N. S., Ristinmaa, M., Mosler, J., 2018. On damage modeling of material interfaces: Numerical implementation and computational homogenization. Computer methods in applied mechanics and engineering 337, pp. 1-27.

Langenfeld, K., Junker, P., Mosler, J., 2018. Quasi-brittle damage modeling based on incremental energy relaxation combined with a viscous-type regularization. Continuum Mechanics Thermodynamics 30 (5), pp. 1125-1144.

Meya, R., Löbbe, C., Hering, O., Tekkaya, A. E., 2018. Biegen unter radialer Druckspannung, Umformtechnik – Blech Rohre Profile 1, pp. 14-15.

Szyndler, J., Imran, M., Afzal, M. J., Bambach, M., 2018. Numerical analysis of damage during hot forming. Computer Methods in Materials Science 18 (3), pp. 107-114.



Nick, M., Shirobokov, A., Trauth, D., Mattfeld, P., Klocke, F., 2017. Tiefziehen mit reversierenden Hüben - Einfluss des Hubverlaufs auf die Faltenbildung beim Tiefziehen mit einer servoelektrischen Presse. wt-online 10 (2017), pp. 725-729.

Tekkaya, A. E., Ben Khalifa, N., Hering, O., Meya, R., Myslicki, S., Walther, F., 2017. Forming-induced Damage and its Effects on Product Properties. CIRP Annals - Manufacturing Technology 66, pp. 281-284.