Papers

The use of an artificial neural network to estimate tool costs in cold roll-forming processes

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The use of an artificial neural network to estimate tool costs in cold roll-forming processes Anthony Downes, Peter Harley Department of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. DOI: https://doi.org/10.7494/cmms.2006.3.0173 Abstract: The cold roll-forming industry is extremely competitive and the majority of work tenders that are submitted are unsuccessful. There are several … Read more

Simulation model of the finishing mill hydraulic gap control system

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Simulation model of the finishing mill hydraulic gap control system Beata Jakubiec Częstochowa University of Technology, Faculty of Electrical Engineering, al. Armii Krajowej 17, 42-200 Częstochowa, Poland. DOI: https://doi.org/10.7494/cmms.2006.3.0172 Abstract: This paper deals with a hydraulic gap control system modelling of four-high finishing mill. Control system model has been worked out on the basis of … Read more

Determination of drawbead contacts with variable bead penetration

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Determination of drawbead contacts with variable bead penetration N. K. B. Manjula, P. Nanayakkara, Peter D. Hodgson Centre for Material and Fibre Innovation Deakin University, Geelong, Victoria, Australia, 3217. DOI: https://doi.org/10.7494/cmms.2006.3.0171 Abstract: In stamping operations, the sliding of the sheet metal over the drawbeads is of great importance. The geometry of the drawbead and the … Read more

Forming limits of austenitic stainless steel sheets

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Forming limits of austenitic stainless steel sheets A.S. Korhonen, T. Manninen, K. Kanervo Helsinki University of Technology, P.O. Box 6200, 02015 HUT, Finland. DOI: https://doi.org/10.7494/cmms.2006.3.0170 Abstract: The forming limits of austenitic stainless steel sheets were studied. It was found that the observed limit of straining in stretch forming, when both of the principal stresses are … Read more

Thermal contact formulation based on the mortar method

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Thermal contact formulation based on the mortar method José M. A. César De Sá1, Sébastien Grégoire2, Philippe Moreau2, Dominique Lochegnies2 1Faculty of Engineering of the University of Porto Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. 2Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines – UMR CNRS 8530 Université de Valenciennes – Le Mont-Houy … Read more

Dimensional reduction for a lattice-like massspring polymer model using hp-adaptivity

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Dimensional reduction for a lattice-like massspring polymer model using hp-adaptivity Chetan Jhurani, Leszek Demkowicz Institute for Computational Engineering and Sciences The University of Texas at Austin, Austin, Texas 78712. DOI: https://doi.org/10.7494/cmms.2006.3.0168 Abstract: We present a method for dimensional reduction of the solution of the static equilibrium of a lattice-like network of point masses and harmonic … Read more

Numerical simulation of elastoplastic deformation of thin hard coating systems in nano-impact test

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Numerical simulation of elastoplastic deformation of thin hard coating systems in nano-impact test Magdalena Kopernik, Maciej Pietrzyk, Andrzej Żmudzki AGH – University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2006.3.0167 Abstract: Development of the finite element model of nano-impact tests is the objective of the paper. Although these tests are performed to determine, among others, … Read more

An e-collaboration platform for plastic metal processing, built on the MATTEST material testing ontology

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An e-collaboration platform for plastic metal processing, built on the MATTEST material testing ontology Łukasz Rauch AGH – University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2006.2.0097 Abstract: Structured communication between trading partners is crucial in everyday business life. A lot of solutions of this problem exist, allowing application to application (A2A), human to application … Read more

Application of dynamic artificial neural networks to modelling of the copper flash smelting process

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Application of dynamic artificial neural networks to modelling of the copper flash smelting process Andrzej Stanisławczyk, Jolanta Talar, Piotr Jarosz, Jan Kusiak AGH – University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2006.2.0104 Abstract: The main objective of the work is evaluation of effectiveness of the dynamic neural networks in modelling of the copper flash … Read more

Knowledge base as the element steering interface of a complex information system

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Knowledge base as the element steering interface of a complex information system Grzegorz Dobrowolski, Edward Nawarecki AGH – University of Science and Technology, Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2006.2.0103 Abstract: An idea of supporting a user facing a complex and functionally reach system under the assumption that his knowledge about it is incomplete and imprecise and can … Read more