Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Barbara Mrzygłód

Associate Professor

University Name

Poland

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Research Interests

Solid Mechanics

80%

Materials Chemistry

30%

Constitutive Modeling

60%

Artificial Neural Network

30%

Alloy Chemistry

30%

Hysteresis Modeling

30%

High-temperature Engineering

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles11

Modelling of phase transformations occurring in the process of austempered ductile iron manufacturing

Article Link

Year:

2024

Artificial neural networks as a tool for supporting a moulding sand control system based on the dependency between selected moulding sand properties

Article Link

Year:

2023

The Use of the XGBoost and Kriging Methods in the Prediction of the Microstructure of CGI Cast Iron

Article Link

Year:

2023

Data-Driven Model Selection for Compacted Graphite Iron Microstructure Prediction

Article Link

Year:

2022

Clinical and Polysomnographic Features Associated with Poor Sleep Quality in Patients with Obstructive Sleep Apnea

Article Link

Year:

2022

Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms

Article Link

Year:

2022

Modelling the high-temperature deformation characteristics of S355 steel using artificial neural networks

Article Link

Year:

2022

Modelling of plastic flow behaviour of metals in the hot deformation process using artificial intelligence methods

Article Link

Year:

2022

Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel

Article Link

Year:

2020

Application of artificial neural networks in the analysis of mechanisms destroying forging tools

Article Link

Year:

2020

Prediction of forging dies wear with the modified Takagi–Sugeno fuzzy identification method

Article Link

Year:

2020

Collaborators9

Izabela Olejarczyk-Wożeńska

AGH University of Science and Technology

POLAND

Zbigniew Gronostajski

University of Wrocław

POLAND

K. Pasierbiewicz

AGH University of Science and Technology

POLAND

Aneta Lukaszek-Solek

assistant professor (Metals Engineering and Computer Science)

POLAND

Andrzej Opaliński

Assistant Professor

AGH University of Science and Technology

POLAND

Piotr Macioł

Assistant Professor

POLAND

Marcin Hojny

Associate Professor

AGH University of Science and Technology

POLAND

Grzegorz Gumienny

Associate Professor

Lodz University of Technology

POLAND

Krzysztof Regulski

associate professor

AGH University of Science and Technology

POLAND

How do I reach out?

Meet Kite AI