Computer aided detection of sources of product defects Andrzej Kochański Politechnika Warszawska. DOI: https://doi.org/10.7494/cmms.2005.1.0070 Abstract: Manufacturing of products without defects is potentially possible in two ways: severe selection of faulted final products or improvement of the manufacturing technology. The paper deals with the problem of detection of defects of metallic casts. The main objective of … Read more
Spectral Galerkin method for solving Poisson equation in axisymmetric domain Bogusław Bożek, Daniel Delimata AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.4.0061 Abstract: This work presents spectral Galerkin method for solving Poisson Equation in axisymmetric domain. Computational equations are introduced in the way that allow measy computer programing. Paper contains some calculation examples which use … Read more
Object-oriented realization of the FE solver for compression test Paweł J. Matuszyk AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.4.0062 Abstract: The paper deals with developing and implementing object-oriented model of finite element solver for simulation of compression material tests. First, mathematical model of compression on the basis of incompressible nonlinear viscoplastic low is considered. … Read more
Ferroelectric phase transition in barium titanate crystal : FP-LAPW ab initio calculations. Pt. 1, Electron density distribution analysis Andrzej Koleżyński AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2004.4.0063 Abstract: In this paper, the results of the ferroelectric phase transition simulation in barium titanate, by means of ab initio calculations, using FP-LAPW (Full Potential Linearized Augmented Plane Wave) … Read more
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 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
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 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
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 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