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

Numerical modelling and simulation of sand mould manufacture process in lost foam casting

Numerical modelling and simulation of sand mould manufacture process in lost foam casting Jerzy Rojek Instytut Podstawowych Problemów Techniki Polska Akademia Nauk, Warszawa. DOI: https://doi.org/10.7494/cmms.2003.3.0041 Abstract: This paper presents a numerical model of sand mould manufacture process in lost foam casting. The mould filling with sand and Band compaction by vibration are modelled using spherical … Read more

 Analysis of forming of aluminium and magnesium alloys in semi-solid state by advanced computer modelling

Analysis of forming of aluminium and magnesium alloys in semi-solid state by advanced computer modelling Krzysztof Sołek1, Andrzej Białobrzeski2, Tomasz Stuczyński3, Zbigniew Mitura1 1Akademia Górniczo-Hutnicza, al. Mickiewicza 30, 30-059, Kraków, Polska. 2lnstytut Odlewnictwa, Zakopiańska 73, 30-418 Kraków, Polska. 3Instytut Metali Nieżelaznych, Oddział Metali Lekkich, Piłsudskiego 19, 32-050 Skawina, Polska. DOI: https://doi.org/10.7494/cmms.2003.3.0042 Abstract: “Metal forming in … Read more

Numerically enhanced optimization of bi-material rod and tube extrusion

Numerically enhanced optimization of bi-material rod and tube extrusion Paweł Kazanowski, Wojciech Misiołek, Mario E. Epler, Vinod K. Sikka 1Institute for Melal Forming, Lehigh University, 5 East Packer Aveniue, Bethlehem, PA, USA. 2Oak Ridge National laboratory, One Bethel Valley Road, 508, Oak Ridge, TN 37831, USA. DOI: https://doi.org/10.7494/cmms.2003.3.0043 Abstract: The presented research results are an … Read more

Application of optimal control theory methods to design of rolling technology

Application of optimal control theory methods to design of rolling technology Dmitry Svetlichnyy Politechnika Częstochowska, Wvdzial Inżynierii Procesowej, Materiałowej i Fizyki Stosowanej. DOI: https://doi.org/10.7494/cmms.2003.3.0044 Abstract: The paper deals with the application of control theory techniques in the flat rolling processes. Algorithms of optimal control problem solution are presented. Optimization problem for entire multi-pass rolling design … Read more

Relative importance of input signals of neural network

Relative importance of input signals of neural network Marcin Perzyk, Andrzej Kochański, Jacek Kozłowski Instytut Technogii Materiałowych Politechniki Warszawskiej. DOI: https://doi.org/10.7494/cmms.2003.3.0045 Abstract: Several types of relative importance factors of input signals of neural network are analyzed and assessed using simulated training sets. Behavior of the factors for characteristic cases of synergetic influences of input signals … Read more

Filtering of the experimental data using the wavelet analysis and the artifacial neural networks

Filtering of the experimental data using the wavelet analysis and the artifacial neural networks Jolanta Talar, Łukasz Rauch, Jan Kusiak AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.3.0046 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 … Read more

Modelling and control of steelmaking converter process

Modelling and control of steelmaking converter process Marek Długosz, Wojciech Mitkowski, Wojciech Pietrzyk AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.2.0036 Abstract: The static model of steelmaking oxygen converter process, based on the artificial neural network approach, is presented in the paper . Remarks about the dynamic models and control of the process are presented, … Read more

Algorithm of a knowledge extraction from neural network on the example of hot-dip zinc coating process

Algorithm of a knowledge extraction from neural network on the example of hot-dip zinc coating process Sławomir Golak, Franciszek Grosman, Tadeusz Wieczorek Politechnika Śląska. DOI: https://doi.org/10.7494/cmms.2003.2.0037 Abstract: One of the major disadvantages of neural networks is that they can be considered as black boxes, since no satisfactory explanation of their work. A method for the … Read more