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Izabela Olejarczyk-Wożeńska
Izabela Olejarczyk-Wożeńska
AGH Akademia Górniczo - Hutnicza w Krakowie
Verified email at agh.edu.pl
Title
Cited by
Cited by
Year
Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel
B Mrzygłód, M Hawryluk, M Janik, I Olejarczyk-Wożeńska
The international journal of advanced manufacturing technology 109 (5), 1385 …, 2020
302020
Parametric representation of TTT diagrams of ADI cast iron
I Olejarczyk-Wożeńska, A Adrian, H Adrian, B Mrzygłód
Archives of Metallurgy and Materials 57, 613-617, 2012
282012
Mathematical Model of the Processoof Pearlite Austenitization
I Olejarczyk-Wożeńska, H Adrian, B Mrzygłód
Archives of Metallurgy and Materials, 2014
172014
Effect of heat treatment parameters on the formation of ADI microstructure with additions of Ni, Cu, Mo
B Mrzygłód, A Kowalski, I Olejarczyk-Wożenska, H Adrian, M Głowacki, ...
Archives of Metallurgy and Materials 60 (3A), 1941-1948, 2015
142015
Influence of process parameters on the properties of austempered ductile iron (adi) examined with the use of data mining methods
D Wilk-Kołodziejczyk, B Mrzygłód, K Regulski, I Olejarczyk-Wożeńska, ...
Metalurgija 55 (4), 849-851, 2016
82016
Quantitative analysis of ductile iron microstructure–A comparison of selected methods for assessment
B Mrzygłód, P Matusiewicz, A Tchórz, I Olejarczyk-Wożeńska
Archives of Foundry Engineering, 2013
72013
Algorithm for Controling of Quench Hardening Process sof Constructional Steels
I Olejarczyk, A Adrian, H Adrian, B Mrzygłód
Archives of Metallurgy and Materials 55 (1), 171-179, 2010
72010
Characteristics of ADI ductile cast iron with single addition of 1.56% Ni
B Mrzygłód, A Kowalski, I Olejarczyk-Wożenska, T Giętka, M Głowacki
Archives of Metallurgy and Materials 62 (4), 2273-2280, 2017
52017
Application of artificial neural networks in the analysis of mechanisms destroying forging tools
M Hawryluk, B Mrzygłód, Z Gronostajski, M Głowacki, ...
Archives of Metallurgy and Materials, 193-200-193-200, 2020
42020
Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks
I Olejarczyk-Wożeńska, B Mrzygłód, M Hojny
Archives of Civil and Mechanical Engineering 23 (1), 1, 2022
32022
Eksploatacja wykresów CTP^ sub i^ w systemie CAPCAST/The exploitation of TTT diagrams in the CAPCAST system
B Mrzyglód, A Adrian, K Regulski, I Olejarczyk-Wozenska, ...
Journal of Applied Materials Engineering 53 (4), 45, 2013
32013
Modelling of plastic flow behaviour of metals in the hot deformation process using artificial intelligence methods
B Mrzygłód, A Łukaszek-Sołek, I Olejarczyk-Wożeńska, K Pasierbiewicz
Archives of Foundry Engineering, 41-52-41-52, 2022
22022
The integration of knowledge about the manufacturing process of ADI with the use of artificial intelligence methods
B Mrzygłód, I Olejarczyk-Wożeńska, K Regulski
Archives of Foundry Engineering 15 (2 spec.), 59--64, 2015
22015
Fast parallel computation algorithm in application to simulation of semi-solid steel rolling and inverse analysis of its properties
M Głowacki, T Dębiński, I Olejarczyk-Wożeńska
AIP Conference Proceedings 1558 (1), 2179-2182, 2013
22013
Mathematical model of bainitic transformation in austempered ductile iron
I Olejarczyk-Wożeńska, H Adrian, B Mrzygłód, M Głowacki
Archives of Foundry Engineering 17, 2017
12017
Extracting knowledge from integrated experimental data on the ADI manufacture
B Mrzygłód, I Olejarczyk-Wożeńska, M Głowacki, A Opaliński
Computer Methods in Materials Science 15 (1), 85--93, 2015
12015
The Use of the XGBoost and Kriging Methods in the Prediction of the Microstructure of CGI Cast Iron
Ł Sztangret, I Olejarczyk-Wożeńska, K Regulski, G Gumienny, B Mrzygłód
Archives of Foundry Engineering 23 (4), 22, 2023
2023
Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
I Olejarczyk-Wożeńska, A Opaliński, B Mrzygłód, K Regulski, W Kurowski
Computer Methods in Materials Science 22, 2022
2022
Effect Of Heat Treatment Parameters On The Formation Of ADI Microstructure With Additions Of Ni, Cu, Mo
I Olejarczyk-Wożeńska, M Głowacki, B Mrzygłód, A Kowalski, H Adrian, ...
Archives of Metallurgy and Materials, 2015
2015
PREDICTION OF TECHNOLOGICAL PROCESS PARAMETERS BASED ON EXPERIMENTAL DATA PRZEWIDYWANIE PARAMETRÓW PROCESU TECHNOLOGICZNEGO W OPARCIU O DANE EKSPERYMENTALNE
A Opaliński, M Głowacki, I Olejarczyk-Wożeńska, B Mrzygłód
Editorial Board Mechanics, 203, 2015
2015
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