Modelling of flow stress during two-phase deformation of steels and influence of niobium on precipitation kinetics

Modelling of flow stress during two-phase deformation of steels and influence of niobium on precipitation kinetics Tomasz Kondek, Barbara Niżnik AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.4.0064 Abstract: Development of new processes of plastic deformation of alloys and increasing possibilities of already existing ones is very often considered independently in two main categories: to … Read more

Expert system DAX for design of experiments

Expert system DAX for design of experiments Zbigniew Polański1, Jacek Pietraszek2, Roma Górecka1 1Instytut Technologii Materiałów. 2Politechnika Krakowska, Wydział Mechaniczny, al. Jana Pawia 31-864 Kraków. DOI: https://doi.org/10.7494/cmms.2004.4.0065 Abstract: The expert system was developed for design and analysis of experiment DAX-Expert 4.4 (Design and Analysis of eXperiment) – standard implementation for personal computer with Microsoft Windows … Read more

Application of neural networks for determina11on of friction coefficient in sheet metal forming

Application of neural networks for determina11on of friction coefficient in sheet metal forming F. Stachowicz, T. Trzepieciński Politechnika Rzeszowska. DOI: https://doi.org/10.7494/cmms.2004.3.0057 Abstract: Friction between the sheet and tools is one of the important factors affecting the quality of drawpiece, so that the clarification of the friction is essential for modeling and analysis of sheet metal … Read more

Modeling of production processes by naive Bayesian classifierand artificial neural networks

Modeling of production processes by naive Bayesian classifierand artificial neural networks Marcin Perzyk, Robert Biernacki Instytut Technologi Materiałowych Politechniki Warszawskiej. DOI: https://doi.org/10.7494/cmms.2004.3.0058 Abstract: Modeling qualities of two types learning systems are compared: naive Bayesian classifier (NBC) and artificial neural networks (ANN), based on prediction errors and relevant importance factors of input signals. Simulated and real … Read more

 Modelling of cooling of coiled strips in bell-type annealing furnaces using artificial intelligence methods

Modelling of cooling of coiled strips in bell-type annealing furnaces using artificial intelligence methods Jolanta Talar, Jan Kusiak AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.3.0059 Abstract: The objective of the paper is evaluation of effectiveness of the artificial intelligence methods in modelling of cooling process in bell-type annealing furnaces. Artificial neural networks (ANN) and expert … Read more

Will after the era of signal recognition and processing begin the era of their automatic understanding?

Will after the era of signal recognition and processing begin the era of their automatic understanding? Ryszard  Tadeusiewicz AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.3.0055 Abstract: The paper presents some problems connected with the automatic interpretation and understanding of the content of the collected data of any kind. Author discusses the possibility of application … Read more

An efforts to estimate numerically a material degeneration of drawing dies by means of computer image analysis methods

An efforts to estimate numerically a material degeneration of drawing dies by means of computer image analysis methods Zbigniew Rudnicki, Włodzimierz Figiel, Janina Daca AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.3.0056 Abstract: The wear of the die eyelets, in the wire drawing process, depends significantly on applied lubricating-cooling agent. Among many results of former complex … Read more

The longitudinal vibration of straight-line ingot in continuous casting of steel

The longitudinal vibration of straight-line ingot in continuous casting of steel Anita Ciekot Politechnika Częstochowska. DOI: https://doi.org/10.7494/cmms.2004.1.0047 Abstract: The analysis of experimental measurements is sometimes difficult, if the registered data are superimposed be noisy signals. The source of such noise is often the improper sensitivity calibration of measuring devices. Sometimes, such data are even useless … Read more

Improvements of efficiency of finite element simulations of solidification due to adaptive mesh refinement and time-step selection

Improvements of efficiency of finite element simulations of solidification due to adaptive mesh refinement and time-step selection Arkadiusz Nagórka Politechnika Częstochowska. DOI: https://doi.org/10.7494/cmms.2004.1.0048 Abstract: The paper deals with an application of adaptive mesh refinement and automatic time-step selection techniques to numerical simulations of solidification. High cooling and heating rates in the beginning of the process … Read more

Modelling of lubrication and roughness evolution in metal forming processes

Modelling of lubrication and roughness evolution in metal forming processes Stanisław  Stupkiewicz, A. Marciniszyn Instytut Podstawowych Problemów Techniki PAN, Warszawa. DOI: https://doi.org/10.7494/cmms.2004.1.0049 Abstract: In this paper a micromechanical modelling approach is proposed, which is aimed at studying the lubricant flow and asperity deformation in the thin-film hydrodynamic lubrication regime. A finite element model is developed … Read more