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Zeitschriftenbeiträge / Journals

2024

Lennemann, P., Korkolis, Y. P., Tekkaya, A. E., 2024. Influence of changing loading directions on damage in sheet metal forming. Advances in Industrial and Manufacturing Engineering, https://doi.org/10.1016/j.aime.2024.100139

Geuken, G.-L., Mosler, J., Kurzeja, P., Incorporating sufficient physical information into artificial neural networks: a guaranteed improvement via physics-based Rao-Blackwellization. Computer Methods in Applied Mechanics and Engineering, https://doi.org/10.1016/j.cma.2024.116848

Fohrmeister, V., Mosler, J., Rate-independent gradient-enhanced crystal plasticity theory - Robust algorithmic formulations based on incremental energy minimization. International Journal of Solids and Structures https://doi.org/10.1016/j.ijsolstr.2023.112622

Tian, C.; Kusche, C.; Medina, A.; Lee, S.; Wollenweber, M. A.; Pippan, R.; Korte-Kerzel, S.; Kirchlechner, C. Understanding the damage initiation and growth mechanisms of two DP800 dual phase grades. https://doi.org/10.1016/j.matdes.2024.112630

Sobisch, L., Kaiser, T., Furlan, T., Menzel, A. A user material approach for the solution of multi-field problems in Abaqus: Theoretical foundations, gradient-enhanced damage mechanics and thermo-mechanical coupling https://doi.org/10.1016/j.finel.2023.104105

2023

Bexter, F., Fehlemann, N., Göksu, V.,Henrich, M., Könemann, M., Münstermann S. A data driven computational microstructure analysis on the influence of martensite banding on damage in DP-steels. Computational Materials Science Volume 218 (2023) https://doi.org/10.1016/j.commatsci.2022.111903

Fehlemann, N., Aguilera, A., Sandfeld, S., Bexter, F., Neite, M., Lenz, D., Könemann M., Münstermann S. Identification of Martensite Bands in Dual-Phase Steels: A Deep Learning Object Detection Approach Using Faster Region-Based-Convolutional Neural Network. Steel Research International (Jan. 2023) https://doi.org/10.1002/srin.202200836

Güzel, D., Kaiser, T., Menzel, A. A thermo-electro-mechanically coupled cohesive zone formulation for predicting interfacial damage. European Journal of Mechanics - A/Solids Volume 99 (2023) https://doi.org/10.1016/j.euromechsol.2023.104935

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

Langenfeld, K., Kurzeja, P., Mosler, J. On the curvature dependence of gradient damage models: Control and opportunities. Computer Methods in Applied Mechanics and Engineering V: 410 (2023). https://doi.org/10.1016/j.cma.2023.115987

Müller, M.; Weiser, F.; Herrig, T.; Bergs, T. Influence of process parameters and process set-up on damage evolution during stretch drawing of u-shaped profiles. 26th Esaform (2023). https://doi.org/10.21741/9781644902479-79

Schulte, R., Karca, C., Ostwald, R., Menzel A. Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences. European Journal of Mechanics - A/Solids Volume 98 (2023) https://doi.org/10.1016/j.euromechsol.2022.104854

L. Sprave, A. Menzel A large strain anisotropic ductile damage model - Effective driving forces and gradient-enhancement of damage vs. plasticity. Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2023.116284

M.Henrich, N.Fehlemann, F.Bexter M.Neite, L. Kong, F. Shen, M. Könemann, M.Dölz, S.Münstermann DRAGen - A Deep Learning Supported RVE Generator Framework for Complex Microstructure Models. Heliyon

D. Güzel, T. Kaiser, L. Lücker, N. Baak, F. Walther, A. Menzel Characterisation of damage by means of electrical measurements: Numerical predictions. Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) https://doi.org/10.1002/pamm.202300013

R. Gitschel, A. Schulze, A. E. Tekkaya Void nucleation, growth and closure in cold forging: An uncoupled modelling approach. Advances in Industrial and Manufacturing Engineering https://doi.org/10.1016/j.aime.2023.100124

F. Guhr R. Gitschel F.J. Barthold A. E. Tekkaya Numerical optimisation of damage in extrusion processes. Proceedings in Applied Mathematics and Mechanics https://doi.org/10.1002/pamm.202300199

D. Güzel, T. Kaiser, A. Menzel A computational multiscale approach towards the modelling of microstructures with material interfaces in electrical conductors. Mathematics and Mechanics of Solids https://doi.org/10.1177/10812865231202721

F. Guhr, F.-J. Barthold Variational sensitivity analysis and shape optimisation applied to a non-local, ductile damage model. Computational Mechanics https://doi.org/10.1007/s00466-023-02377-w

F. Guhr, F.-J. Barthold Geometric and material sensitivities for elasto-plasticity including non-local damage regularisation. Proceedings in Applied Mathematics and Mechanics https://doi.org/10.1002/pamm.202200233

A. Niehüser, J. Mosler Numerically efficient and robust interior-point algorithm for finite strain rate-independent crystal plasticity. Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2023.116392

M. Böddecker, M. Faes, A. Menzel, M. Valdebenito Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity - A variance-based global sensitivity analysis. Advances in Industrial and Manufacturing Engineering https://doi.org/10.1002/pamm.202300282

S. Medghalchi, M. Zubair, E. Karimi, S. Sandlöbes-Haut, U. Kerzel, S. Korte-Kerzel Determination of the Rate Dependence of Damage Formation in Metallic Intermetallic Mg–Al–Ca Composites at Elevated Temperature using Panoramic Image Analysis. Advanced Engineering Materials https://doi.org/10.1002/adem.202300956

S. Medghalchi, E. Karimi, S.-H. Lee, B. Berkels, U. Kerzel, S. Korte-Kerzel Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning. Materials & Design https://doi.org/10.1016/j.matdes.2023.112108

M. A. Wollenweber, C. F. Kusche, T. Al-Samman, S. Korte-Kerzel On the automated characterisation of inclusion-induced damage in 16MnCrS5 case-hardening steel. Advances in Industrial and Manufacturing Engineering https://doi.org/10.1016/j.aime.2023.100123

M. A. Wollenweber, S. Medghalchi, L. R. Guimarães, N. Lohrey, C. F. Kusche, U. Kerzel, T. Al-Samman, S. Korte-Kerzel On the damage behaviour in dual-phase DP800 steel deformed in single and combined strain paths https://doi.org/10.1016/j.matdes.2023.112016

J. Gerlach, T. Clausmeyer, A. Schowtjak, W. Muhammad, A.P. Brahme, L. Koppka, K. Inal, A.E. Tekkaya Data-driven ductile damage model for damage-induced material degradation in forming. Manufacturing Letters https://doi.org/10.1016/j.mfglet.2023.08.092

K. Langenfeld, L. Lingnau, J. Gerlach, P. Kurzeja, R. Gitschel, F. Walther, T. Kaiser, T. Clausmeyer Low cycle fatigue of components manufactured by rod extrusion: Experiments and modelling. Advances in Industrial and Manufacturing Engineering https://doi.org/10.1016/j.aime.2023.100130

M. Böddecker, A. Menzel A large strain thermoplasticity model including recovery, recrystallisation and grain size effects. Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) https://doi.org/10.1002/pamm.202300282

J. L. Otto, L. Sauer, M. Brink, T. Schaum, L. A. Lingnau, M. Macias Barrientos, F. Walther A 2D and 3D segmentation-based microstructure study on the role of brittle phases in diffusion brazed AISI 304L/NiCrSiFeMoB joints. Materials & Design https://doi.org/10.1016/j.matdes.2023.112401

R.M. Jentner, S. Scholl, K. Srivastava, J.P. Best, C. Kirchlechner, G. Dehm Local strength of bainitic and ferritic HSLA steel constituents understood using correlative electron microscopy and microcompression testing. Materials & Design https://doi.org/10.1016/j.matdes.2023.112507

N. Fehlemann, D. Czempas, M. Könemann, D. Lenz, G. Hirt, S. Münstermann Investigation of Damage-Controlling Process-Parameters During Cold Rolling on the Impact Toughness of DP800 Steel Under Crash Loading Stress States ICTP 2023 - Volume 4 http://dx.doi.org/10.1007/978-3-031-42093-1_23

D. Czempas, C. Liebsch, G. Hirt Integration of a void healing criterion in multi-scale modeling of hot rolling Advances in Industrial and Manufacturing Engineering http://dx.doi.org/10.1016/j.aime.2023.100134

2022

Dunlap, A.; Aretz, A.; Schwedt, A. Investigating the influence of electronic excitation energy on the quantification of ductile damage in case hardening steel using automat ed EDX particle analysis in scanning electron microscopy. Materials Science and Engineering (MSE 2022) Congress.

Gerlach, J.; Hirt, G. Schädigungskontrolle in der Warmumformung. Stahl + Eisen 04, pp.: 18-21 (2022).

Gitschel, R., Hering, O., Schulze, A., Tekkaya A. E. Controlling Damage Evolution in Geometrically Identical Cold Forged Parts by Counterpressure. Journal of Manufacturing Science and Engineering 145(1):1-29 (2022) https://doi.org/10.1115/1.4056266

Langenfeld, K., Kurzeja, P., Mosler, J. How regularization concepts interfere with (quasi-)brittle damage: a comparison based on a unified variational framework. Continuum Mechanics and Thermodynamics volume 34, pages 1517–1544 (2022). https://doi.org/10.1007/s00161-022-01143-2

Lingnau, L. A.; Lücker, L.; Walther, F. Resistometriebasierte Charakterisierung der umform- und ermüdungsinduzierten Schädigung im Einsatzstahl 16MnCr S5. Werkstoffprüfung 2022 - Werkstoffe und Bauteile auf dem Prüfstand

Lücker, L.; Lingnau, L. A.; Walther, F. Non-destructive direct current potential drop assessment of forming-induced pre-damage in AISI 5115 steel. 23rd European Conference on Fracture (2022). https://www.ecf23.eu/abstracts/ECF23_Book_of_Abstracts.pdf#%5B%7B%22num%22%3A356%2C%22gen%22%3A0%7D%2C%7B%22name%22%3A%22XYZ%22%7D%2C24%2C807%2C0%5D

Meya, R., Lennemann, P., Rethmann, P., Tekkaya, A. E.. Analyse und Kontrolle der Schädigungsentwicklung beim Biegen von hochfesten Werkstoffen. Ilmenauer Federntag 2021, Ilemnau, Germany

Medghalchi, S., Karimi, E., Kerzel, U., Korte-Kerzel, S. Three-dimensional characterization of damage in dual phase steels with deep learning. ECI Symposium Series - Nanomechanical Testing in Materials Research and Development VIII (2022)  https://dc.engconfintl.org/nanomechtest_viii/18

Medghalchi, S., Karimi, E., Berkels, B., Kerzel, U., Korte-Kerzel, S. Three-dimensional characterisation of deformation-induced damage in dual phase steel using deep learning. 11th European Solid Mechanics Conference (2022)

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

Müller, M., Weiser, I., Herrig, T., Bergs T. Numerical Prediction of the Influence of Process Parameters and Process Set-Up on Damage Evolution during Deep Drawing of Rectangular Cups. 7th International Conference on Accuracy in Forming Technology ICAFT (2022) https://doi.org/10.3390/engproc2022026006

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

Nick, M.,Müller, M.,Voigts, H.,Weiser, F.,Herrig, T.,Bergs, T. Effect of Friction Modelling on Damage Prediction in Deep Drawing Simulations of Rotationally Symmetric Cups. Defect and Diffusion Forum (Volume 414) (2022) pp.: 103-109. 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

Schowtjak A., Gerlach, J., Muhammad, W., Brahme, A., Clausmeyer, T., Inal, K., Tekkaya A. E. Prediction of ductile damage evolution based on experimental data using artificial neural networks. International Journal of Solids and Structures 257(2022). https://doi.org/10.1016/j.ijsolstr.2022.111950

2021

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

Dunlap, A.; Aretz, A.; Schwedt, A. Investigation of the ductile damage - dislocation interaction in case hardening steel using Electron Channeling Contrast Imaging. Microscopy Conference (2021)

Fehlemann, N., Sparrer, J., Pütz, F., Könemann, M., & Münstermann, S. Influence of synthetically generated inclusions on the stress accumulation and concentration in X65 pipeline steel. International Deep-Drawing Research Group Conference (IDDRG 2021). http://doi.org/10.1088/1757-899X/1157/1/012056

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

Nick, M., Liebsch, C., Müller, M., Weiser, I. F., Hirt, G., & Bergs, T. Influence of pass reduction in cold rolling on damage evolution in deep drawing of rotationally symmetric cups. International Deep-Drawing Research Group Conference (IDDRG 2021). http://doi.org/10.1088/1757-899X/1157/1/012050

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

 

2020

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

 

2019

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.

 

2018

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.

 

2017

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.