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128 results on '"Rauch, Łukasz"'

1. Fast Numerical Model for Predicting Residual Stresses in Hot Rolled Profiles Taking into Account Phase Transformations in Steel

Author

Milenin, Andrij, Witek, Szczepan, Rauch, Łukasz, Milenin, Ivan, Kuziak, Roman, Pietrzyk, Maciej, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Mocellin, Katia, editor, Bouchard, Pierre-Olivier, editor, Bigot, Régis, editor, and Balan, Tudor, editor

Published
2024
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2. Cyber-physical System Supporting the Production Technology of Steel Mill Products Based on Ladle Furnace Tracking and Sensor Networks

Author

Hajder, Piotr, Opaliński, Andrzej, Pernach, Monika, Sztangret, Łukasz, Regulski, Krzysztof, Bzowski, Krzysztof, Piwowarczyk, Michał, Rauch, Łukasz, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2023
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4. On mathematical aspects of evolution of dislocation density in metallic materials

Author

Czyżewska, Natalia, Kusiak, Jan, Morkisz, Paweł, Oprocha, Piotr, Pietrzyk, Maciej, Przybyłowicz, Paweł, Rauch, Łukasz, and Szeliga, Danuta

Subjects
Mathematics - Numerical Analysis
Abstract

This paper deals with the solution of delay differential equations describing evolution of dislocation density in metallic materials. Hardening, restoration, and recrystallization characterizing the evolution of dislocation populations provide the essential equation of the model. The last term transforms ordinary differential equation (ODE) into delay differential equation (DDE) with strong (in general, H\"older) nonlinearity. We prove upper error bounds for the explicit Euler method, under the assumption that the right-hand side function is H\"older continuous and monotone which allows us to compare accuracy of other numerical methods in our model (e.g. Runge-Kutta), in particular when explicit formulas for solutions are not known. Finally, we test the above results in simulations of real industrial process.

Published
2020
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5. Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials

Author

Rauch, Łukasz, Bzowski, Krzysztof, Szeliga, Danuta, Pietrzyk, Maciej, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Krzhizhanovskaya, Valeria V., editor, Závodszky, Gábor, editor, Lees, Michael H., editor, Dongarra, Jack J., editor, Sloot, Peter M. A., editor, Brissos, Sérgio, editor, and Teixeira, João, editor

Published
2020
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6. Numerical Methods in Industrial Forming Processes

Author

Kusiak, Jan, Rauch, Łukasz, and Regulski, Krzysztof

Subjects
material forming, numerical implementation, Process modeling, Material behavior, Numiform23, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers
Abstract

This open access book comprises selected papers presented at the NUMIFORM 2023conference, where recent developments, innovations and advances in numerical methods for material forming and shaping through plastic deformation were discussed. The conference topics include the broad areas of material behaviour and modelling and its numerical implementation; process modelling (forming, joining, machining, casting, welding/joining and additive manufacturing, etc., of metals, polymers and composites) and its numerical implementation; and conventional and novel methods of forming and joining metals and polymer and composite processing. This book serves as a valuable reference for academicians and industry professionals alike.

Published
2024
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7. Optimizing Continuous Casting through Cyber–Physical System.

Author

Regulski, Krzysztof, Rauch, Łukasz, Hajder, Piotr, Bzowski, Krzysztof, Opaliński, Andrzej, Pernach, Monika, Hallo, Filip, Piwowarczyk, Michał, and Kalinowski, Sebastian

Subjects
MACHINE learning, ANT algorithms, PRODUCTION planning, PRODUCTION control, CONTINUOUS casting
Abstract

This manuscript presents a model of a system implementing individual stages of production for long steel products resulting from rolling. The system encompasses the order registration stage, followed by production planning based on information about the billet inventory status, then offers the possibility of scheduling orders for the melt shop in the form of melt sequences, manages technological knowledge regarding the principles of sequencing, and utilizes machine learning and optimization methods in melt sequencing. Subsequently, production according to the implemented plan is monitored using IoT and vision tracking systems for ladle tracking. During monitoring, predictions of energy demand and energy consumption in LMS processes are made concurrently, as well as predictions of metal overheating at the CST station. The system includes production optimization at two levels: optimization of the heat sequence and at the production level through the prediction of heating time. Optimization models and machine learning tools, including mainly neural networks, are utilized. The system described includes key components: optimization models for sequencing heats using Ant Colony Optimization (ACO) algorithms and neural network-based prediction models for power-on time. The manuscript mainly focuses on process modeling issues rather than implementation or deployment details. Machine learning models have significantly improved process efficiency and quality; the optimization of planning has reduced sequencing plan execution time; and power-on time prediction models estimate the main ladle heating time with 97% precision, enabling precise production control and reducing overheating. The system serves as an example of implementing the concept of a cyber–physical system. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Reconfiguration of the Multi-channel Communication System with Hierarchical Structure and Distributed Passive Switching

Author

Hajder, Piotr, Rauch, Łukasz, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Rodrigues, João M. F., editor, Cardoso, Pedro J. S., editor, Monteiro, Jânio, editor, Lam, Roberto, editor, Krzhizhanovskaya, Valeria V., editor, Lees, Michael H., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2019
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20. Application of Sensitivity Analysis to Grid-Based Procedure Dedicated to Creation of SSRVE

Author

Rauch, Łukasz, Szeliga, Danuta, Bachniak, Daniel, Bzowski, Krzysztof, Pietrzyk, Maciej, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bubak, Marian, editor, Kitowski, Jacek, editor, and Wiatr, Kazimierz, editor

Published
2014
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23. OpenCL Implementation of Cellular Automata Finite Element (CAFE) Method

Author

Rauch, Lukasz, Bzowski, Krzysztof, Rodzaj, Artur, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Karczewski, Konrad, editor, and Waśniewski, Jerzy, editor

Published
2012
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24. Optimization of Parameters of Feed-Back Pulse Coupled Neural Network Applied to the Segmentation of Material Microstructure Images

Author

Rauch, Łukasz, Sztangret, Łukasz, Kusiak, Jan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2010
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25. Numerical Simulations of Hypoeutectoid Steels under Loading Conditions, Based on Image Processing and Digital Material Representation

Author

Rauch, Łukasz, Madej, Łukasz, Pawłowski, Bogdan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, Hauptman, Herbert A., editor, Natal Jorge, Renato M., editor, and Tavares, João Manuel R. S., editor

Published
2010
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29. Prediction of Temperature of Liquid Steel in Ladle Using Machine Learning Techniques.

Author

Sztangret, Łukasz, Regulski, Krzysztof, Pernach, Monika, and Rauch, Łukasz

Subjects
MACHINE learning, ARTIFICIAL neural networks, STEEL, DECISION trees, LIQUIDS
Abstract

Maintaining the temperature of liquid steel in the ladle in the required range affects the quality of casted billets, reduces energy consumption, and guarantees smooth control of the melting sequence. Measuring its temperature is a challenging task in industrial settings, often hindered by safety concerns and the expensive nature of equipment. This paper presents models which enable the prediction of the cooling rate of liquid steel for variable production parameters, i.e., steel grade and weight of melt. The models were based on the FEM solution of the Fourier equation, and machine learning approaches such as decision trees, linear regression, and artificial neural networks are utilized. The parameters of the model were identified using data from the monitoring system and inverse analysis. The results of simulations were verified with measurements performed in the production line. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Filtering of Thermomagnetic Data Curve Using Artificial Neural Network and Wavelet Analysis

Author

Rauch, Łukasz, Talar, Jolanta, Žák, Tomáš, Kusiak, Jan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Rutkowski, Leszek, editor, Siekmann, Jörg H., editor, Tadeusiewicz, Ryszard, editor, and Zadeh, Lotfi A., editor

Published
2004
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37. Computer system for identification of tool wear model in hot forging

Author

Wilkus Marek, Rauch Łukasz, Gronostajski Zbigniew, Polak Sławomir, and Pietrzyk Maciej

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

The aim of the research was to create a methodology that will enable effective and reliable prediction of the tool wear. The idea of the hybrid model, which accounts for various mechanisms of tool material deterioration, is proposed in the paper. The mechanisms, which were considered, include abrasive wear, adhesive wear, thermal fatigue, mechanical fatigue, oxidation and plastic deformation. Individual models of various complexity were used for separate phenomena and strategy of combination of these models in one hybrid system was developed to account for the synergy of various mechanisms. The complex hybrid model was built on the basis of these individual models for various wear mechanisms. The individual models expanded from phenomenological ones for abrasive wear to multi-scale methods for modelling micro cracks initiation and propagation utilizing virtual representations of granular microstructures. The latter have been intensively developed recently and they form potentially a powerful tool that allows modelling of thermal and mechanical fatigue, accounting explicitly for the tool material microstructure.

Published
2016
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