W. Kwaśny
Silesian University of Technology
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Featured researches published by W. Kwaśny.
Czasopismo Techniczne. Mechanika | 2013
W. Kwaśny; Paweł Nuckowski; Tymoteusz Jung; Z. Rdzawski; W. Głuchowski
This paper presents the results of study in the structure and texture CuSn6 alloy deformed in the RCS (repetitive corrugation and straightening) process. Investigated the influence of process parameters on the above property. The obtained results were correlated with the results of the alloy subjected to cold rolling.
Laser Technology 2016: Progress and Applications of Lasers | 2016
D. Janicki; Jacek Górka; A. Czupryński; W. Kwaśny; Marcin Żuk
A laser cladding system consisting of a direct diode laser with the flat-top beam profile and an off-axis powder injection nozzle has been used to fabricate Co-based (Satellite 6) metal matrix composite coatings reinforced by spherical-shaped WC particles. Non-porous coatings with the WC fraction of about 50 vol.% and a low dissolution of the WC particles in the matrix have been obtained. The heat input level affects the degree of WC dissolution and the matrix mean free path between the embedded WC particles. Comparative erosion tests between the metallic Satellite 6 and composite Satellite 6/WC coatings showed that the composite coatings exhibit a superior erosion resistance only at the oblique impingement condition. Generally, a low erosion resistance of the composite coatings at the normal impingement is mainly attributed to a very smooth interface between the spherical-shaped WC particles and the matrix alloy.
international conference on information and software technologies | 2018
Rafał Brociek; Damian Słota; M. Król; G. Matula; W. Kwaśny
In this paper procedure for solving inverse heat conduction problem with fractional derivative is presented. Authors present time fractional heat conduction model with Caputo derivative and Neumann, Robin boundary conditions, which can be applied to describe process of heat conduction in porous media. Based on temperature measurements, functional describing error of approximate solution is created. Considered inverse problem is transform to find minimum of created functional. In order to solve inverse problem (find unknown parameters of model) authors applied an Ant Colony Optimization (ACO) algorithm. Finally, experiment with data from porous aluminum was carried out to check effectiveness of proposed algorithm. Goal of this paper is reconstruction unknown parameters in heat conduction model with fractional derivative and show that ACO is effective algorithm and works well in these type of problems.
Journal of Materials Processing Technology | 2005
L. A. Dobrzański; A. Śliwa; W. Kwaśny
Journal of achievements in materials and manufacturing engineering | 2008
A. Śliwa; L. A. Dobrzański; W. Kwaśny; W. Sitek
Journal of Materials Processing Technology | 2004
W. Kwaśny; L. A. Dobrzański; M. Pawlyta; W. Gulbiński
Archives of materials science and engineering | 2010
A. Śliwa; L. A. Dobrzański; W. Kwaśny; M. Staszuk
Journal of Materials Processing Technology | 2005
W. Kwaśny; L. A. Dobrzański
Archives of materials science and engineering | 2009
L. A. Dobrzański; M. Staszuk; J. Konieczny; W. Kwaśny; M. Pawlyta
Journal of achievements in materials and manufacturing engineering | 2007
L. A. Dobrzański; A. Śliwa; W. Kwaśny