Wykaz publikacji wybranego autora

Izabela Olejarczyk-Wożeńska, dr inż.

adiunkt

Wydział Inżynierii Metali i Informatyki Przemysłowej
WIMiIP-kism, Katedra Informatyki Stosowanej i Modelowania

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria materiałowa

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / metalurgia

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-9838-4791 orcid iD

ResearcherID: GAA-4857-2022

Scopus: 55320960800

PBN: 5e7093bb878c28a0473afe4f

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Algorithm for controling of quench hardening process of constructional steels
2
  • Application of artificial neural networks in the analysis of mechanisms destroying forging tools
3
  • Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
4
  • Characteristics of ADI ductile cast iron with single addition of 1.56\% Ni
5
  • Effect of heat treatment parameters on the formation of ADI microstructure with additions of Ni, Cu, Mo
6
  • Eksploatacja wykresów $CTP_{i}$ w systemie CAPCAST
7
  • Extracting knowledge from integrated experimental data on the ADI manufacture
8
  • Influence of process parameters on the properties of Austempered Ductile Iron (ADI) examined with the use of data mining methods
9
  • Mathematical model of bainitic transformation in austempered ductile iron
10
  • Mathematical model of the process of pearlite austenitization
11
  • Modelling of plastic flow behaviour of metals in the hot deformation process using artificial intelligence methods
12
  • Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks
13
  • Parametric representation of TTT diagrams of ADI cast iron
14
  • Prediction of technological process parameters based on experimental data
15
  • Quantitative analysis of ductile iron microstructure – a comparison of selected methods for assessment
16
  • Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel
17
18
  • The use of the XGBoost and kriging methods in the prediction of the microstructure of CGI cast iron
19
  • Zmodyfikowana metodyka wyznaczania krzywych odkształcenie-naprężenie w zakresie temperatur od $1200^{\circ}$C do temperatury solidus