Papers

Polycrystalline plasticity analysis of cyclic loading and stress relaxation in 316H austenitic stainless steel

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Polycrystalline plasticity analysis of cyclic loading and stress relaxation in 316H austenitic stainless steel Sadik Sefa Acar, Tuncay Yalçinkaya* Department of Aerospace Engineering, Middle East Technical University, Ankara, 06800, Turkiye. *corresponding author DOI: https://doi.org/10.7494/cmms.2025.3.1025 Abstract: The mechanical behavior of 316H austenitic stainless steel is investigated in this study under cyclic strain-controlled loading with and without … Read more

Analysis of the decay time and bound-states energies of a particle in a specific structure GaMnAs/GaAs quantum well

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Analysis of the decay time and bound-states energies of a particle in a specific structure GaMnAs/GaAs quantum well Alaa Y. Ali1,2*, Hassan H. Ali3, Mustafa Y. Ali1 1Electrical Department, Engineering College Alshirqat, Tikrit University, Iraq. 2Natural Resources Research Center, Tikrit University, Iraq. 3Physics Department, College of Education for Pure Science, Tikrit University, Iraq. *corresponding author … Read more

An evaluation of discrepancies between CPFE simulations and mean-field approximations for dual phase materials

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An evaluation of discrepancies between CPFE simulations and mean-field approximations for dual phase materials Shahrzad Mirhosseini1*, E. H. Atzema1,2, A. H. van den Boogaard1 1Chair of Nonlinear Solid Mechanics, University of Twente, 7522 NB Enschede, The Netherlands. 2Tata Steel Research and Development, 1970 CA, IJmuiden, The Netherlands. *corresponding author DOI: https://doi.org/10.7494/cmms.2025.3.1024 Abstract: This paper explores … Read more

The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications

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The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications Nirupam Chakraborti Faculty of Mechanical Engineering, Czech Technical University in Prague, Czech Republic. DOI: https://doi.org/10.7494/cmms.2025.2.1021 Abstract: The evolutionary deep learning algorithm EvoDN2 is an emerging strategy for data-driven intelligent learning and many-objective optimisation capable of handling a large volume of noisy and … Read more

The application of numerical simulations to analyze the forward extrusion process along with the verification of results and tuning of the numerical model

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The application of numerical simulations to analyze the forward extrusion process along with the verification of results and tuning of the numerical model Marek Hawryluk1*, Łukasz Dudkiewicz1,3, Jan Marzec1, Roger Tkocz4, Jacek Borowski5, Grzegorz Ficak6, Bartosz Jóźwiak7, Jacek Ziemba1,2 1Wroclaw University of Science and Technology, Department of Metal Forming, Welding and Metrology, Wroclaw, Poland. 2Center … Read more

Evaluation of deformation inhomogeneity in multi-layered steel-titanium and steel-magnesium systems

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Evaluation of deformation inhomogeneity in multi-layered steel-titanium and steel-magnesium systems Bartłomiej Pabich*, Bartłomiej Żurowski, Marcin Kwiecień, Janusz Majta AGH University of Krakow, A. Mickiewicza 30 av., 30-059 Krakow, Poland. *corresponding author DOI: https://doi.org/10.7494/cmms.2025.2.1019 Abstract: In the presented study, plastometric tests using channel die compression were employed to define the boundary conditions for numerical simulations of … Read more

Design and implementation of a digital infrastructure for autonomous open-die forging

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Design and implementation of a digital infrastructure for autonomous open-die forging Roy Rechenberg1*, Grzegorz Korpala1, Magdalena Jabłońska2, Marek Wojtaszek3, Krystian Zyguła3, Marek Tkocz4, Iwona Bednarczyk4, Karolina Kowalczyk5, Ulrich Prahl1 1TU Bergakademie Freiberg, Akademiestraße 6, 09599 Freiberg, Germany. 2Lukasiewicz Research Network – Institute of Non-Ferrous Metals, ul. Sowińskiego 5, 44-100 Gliwice, Poland. 3AGH University of Krakow, … Read more

Statistical evaluation of the measurement of residual stresses in the surface layer of CP1000 steel sheets using the magnetic Barkhausen noise and X-ray methods

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Statistical evaluation of the measurement of residual stresses in the surface layer of CP1000 steel sheets using the magnetic Barkhausen noise and X-ray methods Janusz Kliś1, Rafał Nawrat1, Jakub Olbrych1, Michał Węgrzyniak1, Damian Szydło1, Grzegorz Toczek1, Liwia Sozańska-Jędrasik2* 1ArcelorMittal Distribution Solution Poland sp. z o.o. 2Łukasiewicz Research Network – Upper Silesian Institute of Technology. *corresponding … Read more

Review of XAI methods for application in heavy industry

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Review of XAI methods for application in heavy industry Wojciech Jędrysik*, Piotr Hajder, Łukasz Rauch AGH University of Krakow, Department of Applied Computer Science and Modelling, Krakow, Poland. *corresponding author DOI: https://doi.org/10.7494/cmms.2025.1.1013 Abstract: In recent years, considerable progress has been made in the field of artificial intelligence and machine learning. This progress allows us to … Read more

Development of a constitutive material model of Mo-Mn-Fe-Co-Ni high entropy alloy through a structured two-phase inverse analysis

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Development of a constitutive material model of Mo-Mn-Fe-Co-Ni high entropy alloy through a structured two-phase inverse analysis Aitor Orbea Larrañaga1*, Joseba Mendiguren Olaeta1, Kamil Cichocki2, Lukasz Madej2 1Mondragon Unibertsitatea, Loramendi 4, 20500 Mondragon, Spain. 2AGH University of Krakow, al. A. Mickiewicza 30, 30-019, Krakow, Poland. *corresponding author DOI: https://doi.org/10.7494/cmms.2025.1.1014 Abstract: High entropy alloys, characterized by … Read more