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dr. J. Hazrati Marangalou (Javad)

Universitair docent

Over mij

My current research focus is modeling friction and wear in material forming, multi-scale material modeling and optimization of manufacturing processes related to material deformation. My research activities are supported by key Dutch and European industrial partners mainly in steel, aluminum and automotive sectors. My educational activities are mainly in Mechanical Engineering and Industrial Design programs at different levels: BSc. (Finite Elements Method; Design and Mechanics), MSc. (Computational Structural Optimization) and PhD. (Mechanics of Large Deformations; Nonlinear Material Mechanics).   

Publicaties

Recent
Georgiou, E., Drees, D., van der Donck , Hazrati, J., Veldhuis, M., Aha, B., & Celis, J-P. (2022). A new test method to simulate deep drawing phenomena on the lab scale. Tribology transactions, 65(5), 892-900. https://doi.org/10.1080/10402004.2022.2100852
Shisode, M. P. , van den Boogaard, T. , & Hazrati, J. (2022). Surface Texture Design for Sheet Metal Forming Applications. In NUMISHEET 2022: Proceedings of the 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (pp. 703-711). Springer. https://doi.org/10.1007/978-3-031-06212-4_64
Zaman, S. B. (2021). Fracture characterization of AlSi coating at high temperatures. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036552721
Shisode, M. P. (2020). Friction modelling of coated sheets for forming applications. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789464190663
Van Den Boogaard, T. , Hazrati, J., & Langerak, N. (Eds.) (2019). 38th International Deep Drawing Research Group Conference. IOP Conference Series: Materials Science and Engineering, 651(1), [011001]. https://doi.org/10.1088/1757-899X/651/1/011001
Greve, L., Schneider, B., Andres, M., Martinez, J. D., Eller, T., van de Weg, B. , Hazrati, J. , & Boogaard, A. H. V. D. (2019). Computationally efficient necking prediction using neural networks trained on virtual test data. IOP Conference Series: Materials Science and Engineering, 651, 012054. https://doi.org/10.1088/1757-899x/651/1/012054
Mishra, T. , de Rooij, M. , Shisode, M. , Hazrati, J. , & Schipper, D. (2019). Characterization of Anisotropic Yield Criteria Using an Indentation Based Technique for Steel Sheets. Paper presented at 13th International Conference on Numerical Methods in Industrial Forming Processes, NUMIFORM 2019, Portsmouth, New Hampshire, United States.

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Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer N146
De Horst 2
7522LW  Enschede

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Postadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex  N146
Postbus 217
7500 AE Enschede