Papers

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

Expert system application in modelling and controlling the copper flash smelting process

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Expert system application in modelling and controlling the copper flash smelting process Jolanta Talar, Piotr Jarosz, Jan Kusiak AGH-University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0263 Abstract: The main goal of the paper is an attempt to develop a rule-based expert system (ES) allowing prediction of the key output parameters of … Read more

Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view

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Association rules as an example of data mining in the analysis of copper flash smelting process – the metallurgist’s point of view Piotr Jarosz, Jolanta Talar, Jan Kusiak AGH-University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0264 Abstract: The paper presents an attempt of the exploration of data sets collected in the … Read more

Bio-inspired optimization strategies in control of copper flash smelting process

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Bio-inspired optimization strategies in control of copper flash smelting process Łukasz Sztangret, Andrzej Stanisławczyk, Jan Kusiak AGH-University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków. DOI: https://doi.org/10.7494/cmms.2009.3.0265 Abstract: The paper presents optimization methods that are inspired by the mechanisms occurring in nature and their application in the determination of the values of signals controlling … Read more

Modelling of microstructure evolution in hot work tool steels during service

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Modelling of microstructure evolution in hot work tool steels during service Friedrich Krumphals1, Thomas Wlanis1, Christof Sommitsch1, Ivan Holzer2, Bernhard Sonderegger2, Volker Wieser3 1Christian Doppler Laboratory for Materials Modelling and Simulation, Chair of Metal Forming, University of Leoben, Franz-Josef-Strasse 18, 8700 Leoben, Austria. 2Institute for Materials Science and Welding, University of Technology, Kopernikusgasse 24, 8010 … Read more

Business rules management system for enterprises in iron and steel industry

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Business rules management system for enterprises in iron and steel industry Andrzej Macioł, Bartłomiej Gaweł, Rafał Jankowski Faculty of Management, AGH University of Science and Technology,,ul. Gramatyka 10, 30-067 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2009.2.0251 Abstract: The central idea behind Business Rules Engines (BRE) or Business Rules Management Systems (BRMS) is that any organization has a logic … Read more

Numerical modeling of bulk metal forming processes with induced strain path change

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Numerical modeling of bulk metal forming processes with induced strain path change Łukasz Madej1, Stanisław Węglarczyk1, Franciszek Grosman2 1Department of Modeling and Information Technology, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. 2Department of Process Modelling and Medical Engineering Politechnika Śląska, ul. Krasińskiego 8, 40-019, Katowice, Poland. DOI: https://doi.org/10.7494/cmms.2009.2.0236 Abstract: A … Read more

Structuralization of knowledge about casting defects diagnosis based on rough sets theory

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Structuralization of knowledge about casting defects diagnosis based on rough sets theory Stanisława Kluska-Nawarecka1, Dorota Wilk-Kołodziejczyk2, Grzegorz Dobrowolski2, Edward Nawarecki2 1Foundry Research Institute, Cracow, Poland. 2AGH University of Science and Technology, Cracow, Poland. DOI: https://doi.org/10.7494/cmms.2009.2.0252 Abstract: The rough information system is applied in order to structuralize knowledge about casting defects and their reasons, which are … Read more

Microstructural changes with selected extrusion variables in plastic deformation of complex-shaped lead alloy

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Microstructural changes with selected extrusion variables in plastic deformation of complex-shaped lead alloy Joseph S. Ajiboye, Babatunde Idirisu Department of Mechanical Engineering, University of Lagos, Lagos, Nigeria. DOI: https://doi.org/10.7494/cmms.2009.2.0237 Abstract: This paper investigates the effects of changing die land length and web to flange ratio on the pressure and surface structures of cold plastic deformation … Read more

Parallel evolutionary optimization in multiscale problems

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Parallel evolutionary optimization in multiscale problems Wacław Kuś1, Tadeusz Burczyński1,2 1Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland. 2Institute of Computer Modelling, Artificial Intelligence Section, Cracow University of Technology, Warszawska 24, 31-155 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2009.2.0253 Abstract: The paper is devoted to optimization in multiscale problems. … Read more