Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Jan Kusiak"'
Autor:
Natalia Czyzewska, Jan Kusiak, Pawel Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga
Publikováno v:
IEEE Access, Vol 10, Pp 86793-86812 (2022)
This paper deals with the solution of delay differential equations describing evolution of dislocation density in metallic materials. Hardening, restoration, and recrystallization characterizing the evolution of dislocation populations provide the es
Externí odkaz:
https://doaj.org/article/eed468e3aabc454ab8cb9f53b50b9daf
Autor:
Maciej Pietrzyk, Jan Kusiak, Danuta Szeliga, Łukasz Rauch, Łukasz Sztangret, Grzegorz Górecki
Publikováno v:
Advances in Materials Science and Engineering, Vol 2016 (2016)
Improvement of the efficiency of the inverse analysis (IA) for various material tests was the objective of the paper. Flow stress models and microstructure evolution models of various complexity of mathematical formulation were considered. Different
Externí odkaz:
https://doaj.org/article/b294b303e5b1446ca2bd6f6d37207d1f
This open access book comprises selected papers presented at the NUMIFORM 2023 conference, where recent developments, innovations and advances in numerical methods for material forming and shaping through plastic deformation were discussed. The confe
Autor:
Piotr Oprocha, Natalia Czyżewska, Konrad Klimczak, Jan Kusiak, Paweł Morkisz, Maciej Pietrzyk, Paweł Potorski, Danuta Szeliga
Publikováno v:
Materials; Volume 16; Issue 9; Pages: 3316
Modern construction materials, including steels, have to combine strength with good formability. In metallic materials, these features are obtained for heterogeneous multiphase microstructures. Design of such microstructures requires advanced numeric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24431b46286b5f5320612de3580a24c3
Autor:
Konrad Klimczak, Piotr Oprocha, Jan Kusiak, Danuta Szeliga, Paweł Morkisz, Paweł Przybyłowicz, Natalia Czyżewska, Maciej Pietrzyk
Publikováno v:
Mathematical Problems in Engineering. 2022:1-15
The need for a reliable prediction of the distribution of microstructural parameters in metallic materials during processing was the motivation for this work. The model describing the evolution of dislocation populations, which considers the stochast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26b7597e1cbe6d65b77da89d699cb68f
https://doi.org/10.1155/2022/9690742
https://doi.org/10.1155/2022/9690742
Autor:
Danuta Szeliga, Natalia Czyżewska, Konrad Klimczak, Jan Kusiak, Roman Kuziak, Paweł Morkisz, Piotr Oprocha, Valeriy Pidvysots’kyy, Maciej Pietrzyk, Paweł Przybyłowicz
Publikováno v:
International Journal of Material Forming. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d3c6433eafba76174c92c6f1a254c84
https://doi.org/10.1007/s12289-022-01701-8
https://doi.org/10.1007/s12289-022-01701-8
Autor:
Danuta Szeliga, Natalia Czyżewska, Konrad Klimczak, Jan Kusiak, Roman Kuziak, Paweł Morkisz, Piotr Oprocha, Maciej Pietrzyk, Łukasz Poloczek, Paweł Przybyłowicz
Publikováno v:
Archives of Civil and Mechanical Engineering. 22
Enhancing strength-ductility synergy of materials has been for decades an objective of research on structural metallic materials. It has been shown by many researchers that significant improvement of this synergy can be obtained by tailoring heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2722cf47875a9cf6061c1dd6ac70634f
https://doi.org/10.1007/s43452-022-00460-2
https://doi.org/10.1007/s43452-022-00460-2
Autor:
Łukasz Poloczek, Roman Kuziak, Valeriy Pidvysots’kyy, Danuta Szeliga, Jan Kusiak, Maciej Pietrzyk
Publikováno v:
Materials; Volume 15; Issue 5; Pages: 1660
The design of modern construction materials with heterogeneous microstructures requires a numerical model that can predict the distribution of microstructural features instead of average values. The accuracy and reliability of such models depend on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b51e33e1e0e6745b3082fb0a4bcc0fd
Autor:
Danuta Szeliga, Natalia Czy�ewska, Jan Kusiak, Roman Kuziak, Pawe� Morkisz, Piotr Oprocha, Maciej Pietrzyk, Micha� Piwowarczyk, �ukasz Poloczek, Pawe� Przyby�owicz, �ukasz Rauch, Natalia Wola�ska
Publikováno v:
Computer Methods in Material Science. 22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c657663a4c8a605337a235cbfb73650b
https://doi.org/10.7494/cmms.2022.3.0787
https://doi.org/10.7494/cmms.2022.3.0787
Publikováno v:
Materials Science Forum. 949:24-31
The main objective of presented research is an attempt of application of techniques taken from a dynamically developing field of image analysis based on Artificial Intelligence, particularly on Deep Learning, in classification of steel microstructure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::353942be1195aacf07df68a3f37fb29e
https://doi.org/10.4028/www.scientific.net/msf.949.24
https://doi.org/10.4028/www.scientific.net/msf.949.24