Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Delete all

Stochastic approach to modelling microstructure evolution and properties of metals subjected to thermomechanical processing.

2017/25/B/ST8/01823

Keywords:

Multiphase materials numerical modeling distribution functions properties gradients fast models

Descriptors:

  • ST8_3: Computational engineering, computer-aided modelling, design and manufacturing

Panel:

ST8 - Production and processes engineering: modelling, product design, process design and control, construction methods and engineering, power units and systems

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Inżynierii Metali i Informatyki Przemysłowej

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Maciej Pietrzyk 

Number of co-investigators in the project: 9

Call: OPUS 13 - announced on 2017-03-15

Amount awarded: 515 800 PLN

Project start date (Y-m-d): 2018-01-26

Project end date (Y-m-d): 2021-12-25

Project duration:: 47 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Stacja robocza (40 000 PLN)

Information in the final report

  • Publication in academic press/journals (9)
  • Articles in post-conference publications (4)
  1. Prediction of distribution of microstructural parameters in metallic materials described by differential equations with recrystallization term
    Authors:
    Czyżewska, N., Kusiak, J., Morkisz, P., Oprocha, P., Pietrzyk, M., Przybyłowicz, P., Rauch, Ł., Szeliga, D.
    Academic press:
    International Journal for Multiscale Computational Engineering (rok: 2019, tom: 17, strony: 361-371), Wydawca: BEGELL HOUSE INC
    Status:
    Published
    DOI:
    10.1615/IntJMultCompEng.2019030591 - link to the publication
  2. Accounting for random character of some metallurgical phenomena and uncertainty of process parameters in modelling phase transformations in steels
    Authors:
    Szeliga D., Czyżewska N., Klimczak K., Kusiak J., Morkisz P., Oprocha P., Pietrzyk M., Przybyłowicz P.
    Academic press:
    International Journal of Materials Research (rok: 2022, tom: b.d., strony: IJMR-S-22-00108-1), Wydawca: WALTER DE GRUYTER GMBH
    Status:
    Submitted
  3. Development and application of the Statistically Similar Representative Volume Element for numerical modelling of multiphase materials
    Authors:
    Rauch Ł., Bzowski K., Szeliga D., Pietrzyk M.
    Academic press:
    in: Krzhizhanovskaya V. et al. (eds) Computational Science – ICCS 2020, Lecture Notes in Computer Science (rok: 2020, tom: vol 12142, strony: 45305), Wydawca: Springer, Cham
    Status:
    Published
    DOI:
    10.1007/978-3-030-50433-5_30 - link to the publication
  4. Sensitivity analysis, identification and validation of the dislocation density-based model for metallic materials.
    Authors:
    Danuta SZELIGA, Natalia CZYŻEWSKA, Konrad KLIMCZAK, Jan KUSIAK, Paweł MORKISZ, Piotr OPROCHA, Maciej PIETRZYK, Paweł PRZYBYŁOWICZ
    Academic press:
    Metallurgical Research & Technology (rok: 2021, tom: vol.118 no.317, strony: s. 1-12), Wydawca: Metallurgical Research & Technology
    Status:
    Published
    DOI:
    10.1051/metal/2021037 - link to the publication
  5. On mathematical aspects of evolution of dislocation density in metallic materials.
    Authors:
    Czyżewska N., Kusiak J., Morkisz P., Oprocha P., Pietrzyk M., Przybyłowicz P., Rauch Ł., Szeliga D
    Academic press:
    IEEE Access (rok: 2022, tom: VOLUME 4, 2016, strony: 45311), Wydawca: IEEE Access
    Status:
    Submitted
  6. Formulation, identification and validation of a stochastic internal variables model describing the evolution of metallic materials microstructure during hot forming
    Authors:
    Szeliga D., Czyżewska N., Klimczak K., Kusiak J., Morkisz P., Oprocha P., Pietrzyk M., Przybyłowicz P
    Academic press:
    International Journal of Material Forming (rok: 2022, tom: (2022) 15:53, strony: IJFO-D-21-00249), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s12289-022-01701-8 - link to the publication
  7. Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips
    Authors:
    Szeliga D., Czyżewska N., Klimczak K., Kusiak J., Kuziak R., Morkisz P., Oprocha P., Pidvysotsk'yy V., Pietrzyk M., Przybyłowicz P.
    Academic press:
    Archives of Civil and Mechanical Engineering (rok: 2022, tom: (2022) 22:139, strony: 45308), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s43452-022-00460-2 - link to the publication
  8. Inverse problem in stochastic approach to modelling of microstructural parameters in metallic materials during processing.
    Authors:
    Klimczak K., Oprocha P., Kusiak J., Szeliga D., Morkisz P., Przybyłowicz P., Czyżewska N., Pietrzyk M.
    Academic press:
    Mathematical Problems in Engineering (rok: 2022, tom: Article ID 9690742, strony: 45306), Wydawca: HINDAWI LTD
    Status:
    Published
  9. Mean field and full field modelling of microstructure evolution and phase transformations during hot forming and cooling of low carbon steels
    Authors:
    Danuta Szeliga, Krzysztof Bzowski, Łukasz Rauch, Roman Kuziak, Maciej Pietrzyk
    Academic press:
    Computer Methods in Materials Science (rok: 2020, tom: 20, strony: 121-132), Wydawca: The AGH University of Science and Technology Press
    Status:
    Published
    DOI:
    10.7494/cmms.2020.3.0727 - link to the publication
  1. On mathematical aspects of evolution of dislocation density in metallic materials
    Authors:
    Czyżewska N., Kusiak J., Morkisz P., Oprocha P., Pietrzyk M., P. Przybyłowicz, Ł. Rauch, D. Szeliga
    Conference:
    Konferencja zastosowań matematyki, Zakopane (rok: 2018, ), Wydawca: Elsevier
    Data:
    konferencja 04-11.09.2018
    Status:
    Published
  2. Identification of the multiscale material model based on a stochastic internal variable.
    Authors:
    Szeliga D., Sztangret Ł., Klimczak K., Kusiak J., Pietrzyk M.
    Conference:
    International Conference on Adaptive Modeling and Simulation ADMOS 2019, Alicante, Hiszpania (rok: 2019, ), Wydawca: Universitat Politècnica de València, Spain
    Data:
    konferencja 27-29.05.2019
    Status:
    Published
  3. Stochastic modelling of phase transformations using HPC infrastructure
    Authors:
    Bachniak D., Rauch Ł., Szeliga D., Pietrzyk M.
    Conference:
    KUKDM, Zakopane 2018 (rok: 2018, ), Wydawca: ACK Cyfronet AGH
    Data:
    konferencja 7-9.03.2018
    Status:
    Published
  4. Set up of the RVE for properties simulation in multiphase steels.
    Authors:
    Rauch Ł., Bzowski K., Czechowicz K., Szeliga D., Pietrzyk M.
    Conference:
    Meform 2020, Freiberg, Niemcy (rok: 2021, ), Wydawca: TU Freiberg
    Data:
    konferencja 18.03.2021 (on-line)
    Status:
    Published