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Abstract

This article deals with the problem of finding the maximum number of maximum cliques in a weighted graph with all edges between vertices from different d-division of a graph with the minimum total weight of all these cliques, and the problem of finding the maximum number of maximum cliques in a nonweighted graph with not all edges between vertices from different d-division of the graph. This article presents new ant algorithms with new desire functions for these problems. These algorithms were tested for their purpose with different changing input parameters, the test results were tabulated and discussed, the best algorithms were indicated.
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Authors and Affiliations

Krzysztof Schiff
1

  1. Cracow University of Technology, Poland
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Abstract

Improvement of magnetic properties of electrical steel can be achieved by reduction the size of magnetic domains. The application of local stresses through laser scribing leads to reduced core losses. In order to determine the effect of laser refinement conditions of magnetic domains on the properties of the soft magnetic material, four samples with a thickness 0.23 mm were refined. The refinement of each sample was carried out using different line energies of the laser beam. Estimation of the magnetic domain size was performed using the Jeffries method, the magnetic viewer was used to reveal the domain structure. The measurement of the magnetic properties was performed at a frequency of 50 Hz and an induction of 1.5 T. The analyzed results presented in this work indicate impact of laser refining on magnetic properties of grain oriented electrical steel depending on used laser beam energy.
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Authors and Affiliations

K. Ścibisz
1
ORCID: ORCID
J. Krawczyk
2
ORCID: ORCID

  1. ArcelorMittal Poland S.A. Unit in Krakow, Tadeusza Sendzimira 1 Str., 31-752 Krakow, Poland; AGH University of Krakow, Faculty of Metals Engineering and Computer Science, AGH Do ctoral School, al. Mickiewicza 30, 30-059 Krakow, Poland
  2. AGH University of Krakow, Faculty of Metals Engineering and Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland

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