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Perzyński, Konrad

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inżynieria materiałowa
informatyka techniczna i telekomunikacja
Author Profiles
Web of Science: F-8574-2012 
ScopusID: 39863425000 
Systemy AGH
Bibliografia: BaDAP AGH 

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Now showing 1 - 2 of 2
  • Item type:Article, Access status: Open Access ,
    The role of die definition in the numerical simulations of two-points incremental forming processes
    (Wydawnictwa AGH, 2023) Perzyński, Konrad; Pawlikowski, Kacper; Madej, Łukasz
    The main objective of this work is to investigate the influence of the definition of dies type in the finite element simulation of the two-points incremental forming processes (TPIF). Particular attention is on determining the effect of assigning elastic properties for the 3D printed dies or considering fully rigid on the final results. During the research, three different shapes of dies were analyzed. Simulation results in the form of sheet thickness distributions and measured forces are presented for comparison purposes.
  • Item type:Article, Access status: Open Access ,
    The effect of model size and boundary conditions on the representativeness of digital material representation simulations of ferritic-pearlitic sample compression
    (Wydawnictwa AGH, 2022) Perzyński, Konrad
    The main objective of this work is to investigate the representativeness of the digital material representation (DMR) models of ferritic-pearlitic steel generated by the hybrid cellular automata (CA) / Monte Carlo (MC) algorithm. Particular attention is focused on determining the effect of the size of the digital representation model on its representativeness under deformation conditions simulated with the finite element (FE) framework. In addition, the effect of periodic and non-periodic boundary conditions on the deformation behaviour of DMR models is analysed. A dedicated buffer zone approach applied the periodic boundary conditions on non-periodic finite element models. The results of equivalent stresses and strains and their average values are used to evaluate the differences between the models' predictions.