Browse by research area

  1. Published

    Modeling and Simulation of Electrochemical Cells under Applied Voltage

    Rossi, M., Wallmersperger, T., Neukamm, S. & Padberg-Gehle, K., 20.12.2017, In: Electrochimica Acta. 258, p. 241 - 254 14 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Modeling and simulation of size effects in metallic glasses with non-local continuum mechanics theory

    Klusemann, B. & Bargmann, S., 01.06.2013, In: Journal of the Mechanical Behavior of Materials. 22, 1-2, p. 51-66 16 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Modeling induced flow anisotropy and phase transformations in air hardening steels

    Barthel, C., Klusemann, B., Denzer, R., Clausmeyer, T. & Svendsen, B., 2012, In: Key Engineering Materials. 504-506, p. 443-448 6 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Modeling of a thermomechanical process chain for sheet steels

    Barthel, C., Klusemann, B., Denzer, R. & Svendsen, B., 09.2013, In: International Journal of Mechanical Sciences. 74, p. 46-54 9 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Modeling of lateness distributions depending on the sequencing method with respect to productivity effects

    Bertsch, S., Schmidt, M. & Nyhuis, P., 2014, In: CIRP Annals - Manufacturing Technology. 63, 1, p. 429-432 4 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published
  7. Published

    Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique

    Herrnring, J., Sundman, B., Staron, P. & Klusemann, B., 15.08.2021, In: Acta Materialia. 215, 14 p., 117053.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Model inversion using fuzzy neural network with boosting of the solution

    Mercorelli, P. & Nentwig, M., 2012, In: International Journal of Pure and Applied Mathematics. 80, 2, p. 261-270 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Modelling and simulation of dynamic microstructure evolution of aluminium alloys during thermomechanically coupled extrusion process

    Parvizian, F., Kayser, T., Klusemann, B. & Svendsen, B., 04.2010, In: International Journal of Material Forming. 3, 1, p. 363–366 4 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Modelling lateness and schedule reliability: How companies can produce on time

    Lödding, H., Nyhuis, P., Schmidt, M. & Kuyumcu, A., 02.01.2014, In: Production Planning & Control. The Management of Operations. 25, 1, p. 59-72 14 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review