cmms

Experimental verification results of real and equivalent drawbeads numerical simulations

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Experimental verification results of real and equivalent drawbeads numerical simulations Zbigniew Zimniak, Dawid Rutkowski Institute of Production Engineering and Automation, Wroclaw University of Technology,ul. Łukasiewicza 5, 50-371 Wroclaw, Poland. DOI: https://doi.org/10.7494/cmms.2010.1.0277 Abstract: In sheet metal forming, drawbeads play an important role in material flow control. In this paper the results of simulations of drawbeads and … Read more

Estimation of parameters of feed-back pulse coupled neural networks (FBPCNN) for purposes of microstructure images segmentation

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Estimation of parameters of feed-back pulse coupled neural networks (FBPCNN) for purposes of microstructure images segmentation Łukasz Łukasik, Łukasz Rauch Faculty of Metals Engineering and Industrial Computer Science,AGH University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2010.1.0270 Abstract: Although the Pulse Coupled Neural Network (PCNN) as well as FBPCNN (with feed-back) have been, since 1990, … Read more

New trends in neurocybernetics

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New trends in neurocybernetics Ryszard Tadeusiewicz Department of Automatics, AGH University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2010.1.0271 Abstract: Many years ago neural networks were subject of scientific research conducted only for curiosity. The researchers pursue to better understanding of natural brain behaviour by means of forming of mathematical, electronic and simulation models. Unexpectedly … Read more

Elasto-plastic material model with damage parameter in metal fatigue

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Elasto-plastic material model with damage parameter in metal fatigue Tomasz Bednarek1,2, Włodzimierz Sosnowski1,2, Tomasz Szolc1 1Institute of Fundamental Technological Research of the Polish Academy of Sciences, 02-106 Warszawa, ul. Pawińskiego 5b . 2Kazimierz Wielki University, 85-064 Bydgoszcz, ul. Chodkiewicza 30. DOI: https://doi.org/10.7494/cmms.2009.4.0266 Abstract: In this paper the numerical method for prediction of fatigue life of … Read more

Thermal modeling of friction stir welding of Sc-modified Al-Zn-Mg-Cu alloy

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Thermal modeling of friction stir welding of Sc-modified Al-Zn-Mg-Cu alloy Carter Hamilton1, Stanisław Dymek2, Oleg Senkov3 1Department of Mechanical and Manufacturing Engineering Miami University, Oxford, OH.2Faculty of Metals Engineering and Industrial Computer Science AGH University of Science and Technology, Kraków, Poland.3UES, Inc., 4401 Dayton-Xenia Rd., Dayton, OH 45432-1894, USA. DOI: https://doi.org/10.7494/cmms.2009.4.0267 Abstract: Small additions of … Read more

Validation of the thermo-mechanical-microstructural model of hot forging process

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Validation of the thermo-mechanical-microstructural model of hot forging process Roman Kuziak1, Valeriy Pidvysots’Kyy1, Krzysztof Drozdowski2 1Institute for Ferrous Metallurgy, K. Miarki 12, 44-100 Gliwice, Poland. 2Zakład Obróbki Plastycznej Sp. z o.o., ul. Kuźnicza 13, 21-045 Świdnik k/Lublina. DOI: https://doi.org/10.7494/cmms.2009.4.0268 Abstract: The paper deals with mathematical modelling of non-isothermal forging process accounting for the distribution of … Read more

Critical evaluation and sensitivity analysis of rheological models of human blood

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Critical evaluation and sensitivity analysis of rheological models of human blood Danuta Szeliga, Magdalena Kopernik, Maciej Pietrzyk Faculty of Metals Engineering and Industrial Computer Science,AGH University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2009.4.0269 Abstract: Critical analysis and classification of rheological models of human blood is the objective of the paper. In the first part … Read more

Copper flash smelting process. modelling and control

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Copper flash smelting process. modelling and control Jan Kusiak AGH-University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0260 Abstract: The paper presents the description of the copper flash smelting process and the idea of its modelling based on Artificial Intelligence techniques: Artificial Neural Networks, Expert Systems and Data Mining. Proposed approach is … Read more

Pre-processing of the industrial data for data mining and modelling – application to the copper flash smelting process

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Pre-processing of the industrial data for data mining and modelling – application to the copper flash smelting process Andrzej Stanisławczyk, Jan Kusiak AGH – University of Science and Technology, Faculty of Metals Engineering and,Industrial Computer Science, Al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0261 Abstract: The paper presents the methodology of the pre-processing of the industrial … Read more

Neural network modelling of the gas phase of a copper flash smelting process

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Neural network modelling of the gas phase of a copper flash smelting process Andrzej Stanisławczyk, Jan Kusiak AGH University of Science and Technology, Faculty of Metals Engineering,and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0262 Abstract: The paper presents the results of modelling of gaseous phase parameters of the copper flash smelting process. … Read more