Dr.-Ing. Matthias Markl



Organisationseinheit


Department Werkstoffwissenschaften
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)



Projektleitung


Grundlegende Mechanismen und Modellierung der Mikrostrukturausbildung bei der strahlbasierten additiven Fertigung im Pulverbett
Dr.-Ing. Matthias Markl
(06.06.2017 - 05.06.2020)

(Ein neue Generation einkristalliner Superlegierungen: Vom Atom zur Turbinenschaufel – Festigkeitssteigernde Elementarprozesse, verfahrenstechnische Grundlagen u. skalenübergreifende Modellierung):
SFB/TRR 103 (C07): Multikriterielle Berechnung optimaler Zusammensetzungen einkristalliner Superlegierungen
Prof. Dr.-Ing. Carolin Körner; Dr.-Ing. Matthias Markl
(01.01.2016 - 31.12.2019)


Publikationen (Download BibTeX)

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Müller, A., Sprenger, M., Ritter, N., Rettig, R., Markl, M., Körner, C., & Singer, R. (2019). MultOpt++: a fast regression-based model for the constraint violation fraction due to composition uncertainties. Modelling and Simulation in Materials Science and Engineering, 27(2). https://dx.doi.org/10.1088/1361-651X/aaf01e
Müller, A., Roslyakova, I., Sprenger, M., Git, P., Rettig, R., Markl, M.,... Singer, R. (2019). MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations. Modelling and Simulation in Materials Science and Engineering, 27(2). https://dx.doi.org/10.1088/1361-651X/aaf0b8
Köpf, J., Soldner, D., Ramsperger, M., Mergheim, J., Markl, M., & Körner, C. (2019). Numerical microstructure prediction by a coupled finite element cellular automaton model for selective electron beam melting. Computational Materials Science, 162, 148-155. https://dx.doi.org/10.1016/j.commatsci.2019.03.004
Köpf, J., Rasch, M., Meyer, A., Markl, M., Schmidt, M., & Körner, C. (2018). 3D grain growth simulation and experimental verification in laser beam melting of IN718. In Procedia CIRP 74 (2018) (pp. 82–86). Fürth, DE.
Köpf, J., Gotterbarm, M., Markl, M., & Körner, C. (2018). 3D multi-layer grain structure simulation of powder bed fusion additive manufacturing. Acta Materialia, 152, 119-126. https://dx.doi.org/10.1016/j.actamat.2018.04.030
Küng, V., Osmanlic, F., Markl, M., & Körner, C. (2018). Comparison of passive scalar transport models coupled with the Lattice Boltzmann method. Computers & Mathematics With Applications. https://dx.doi.org/10.1016/j.camwa.2018.01.017
Markl, M., Müller, A., Ritter, N., Hofmeister, M., Naujoks, D., Schaar, H.,... Körner, C. (2018). Development of Single-Crystal Ni-Base Superalloys Based on Multi-criteria Numerical Optimization and Efficient Use of Refractory Elements. Metallurgical and Materials Transactions A-Physical Metallurgy and Materials Science, 49A(9), 4134-4145. https://dx.doi.org/10.1007/s11661-018-4759-0
Markl, M., & Körner, C. (2018). Powder layer deposition algorithm for additive manufacturing simulations. Powder Technology, 330, 125-136. https://dx.doi.org/10.1016/j.powtec.2018.02.026
Rausch, A., Markl, M., & Körner, C. (2018). Predictive simulation of process windows for powder bed fusion additive manufacturing: Influence of the powder size distribution. Computers & Mathematics With Applications. https://dx.doi.org/10.1016/j.camwa.2018.06.029
Hübner, D., Gotterbarm, M., Kergaßner, A., Köpf, J., Pobel, C., Markl, M.,... Stingl, M. (2018). Topology Optimization in Additive Manufacturing Considering the Grain Structure of Inconel 718 using Numerical Homogenization. In Proceedings of 7th International Conference on Additive Technologies (pp. 102-111). Maribor, SI.

Zuletzt aktualisiert 2016-26-05 um 04:48