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Regression Model by the Management for Preparation of the Permalloy Sample

  • Dusan KnezoEmail author
  • Denisa Oleksakova
Conference paper
  • 11 Downloads
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

The main goal of this article is to manage the preparation and to investigate the influence of the milling time and annealing temperature (compacted samples prepared by the pressure of the powder) of compacted permalloy to the value of the coercivity using experimental and statistical methods. Experimentally obtained data that characterize the coercivity of soft magnetic materials FeNi (permalloy) were measured by the oersted at room temperature. We compared the values of the coercivity of five samples prepared by the compaction of powder milling from 10 to 30 h. The second step was the comparison of the values of the coercivity for non-annealed samples and samples annealed at 500 and 600C. The statistical analysis of these results were evaluated using the multivariate regression model, in which we can predict trends and future values of the coercivity of samples at higher annealed temperatures and longer milling times. We found that values of coercivity decrease (with decreasing milling time). These results are in accordance with statistical and experimental methods.

Keywords

Statistical analysis Coercivity Permalloy Mechanical milling 

Notes

Acknowledgements

This work was supported by the Scientific Grant Agency of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences KEGA 002TUKE-4/2019.

References

  1. 1.
    Arnold, H. D., & Elmer, G. W. (1923). Permalloy, an alloy of remarkable magnetic properties. Journal of the Franklin Institute, 195, 621–632.CrossRefGoogle Scholar
  2. 2.
    Coey, J. M. D. (2009). Magnetism and magnetic materials. Cambridge: Cambridge University Press.Google Scholar
  3. 3.
    Suryanarayana, C. (2001). Mechanical alloying and milling. Progress in Materials Science, 46, 1–184.CrossRefGoogle Scholar
  4. 4.
    Ižaríková, G., & Olekšáková, D. (2012). Influence of the time of the milling and the temperature of the annealing to the coercivity of compacted samples investigated by the statistical methods. Transfér inovácií, 23, 52–54.Google Scholar
  5. 5.
    Luo, Ch., Fu, Y., et al. (2015). Temperature dependent coercivity and magnetization of light rare-earth Nd doped permalloy thin films. Journal of Magnetism and Magnetic Materials, 374, 711–715.CrossRefGoogle Scholar
  6. 6.
    Budíková, M., Králová, M., & Maroš, B. (2010). Pruvodce zakladnimi statistickymi metodami. Praha: Grada Publishing.Google Scholar
  7. 7.
    Morrison, S. J. (2009). Statistics for engineers: An introduction. Chichester: Wiley.zbMATHGoogle Scholar
  8. 8.
    Zhang, B., & Coddet, Ch. (2012). Studies of magnetic properties of permalloy prepared by SLM technology. Journal of Magnetism and Magnetic Materials, 324, 495–500CrossRefGoogle Scholar
  9. 9.
    Hines, W. W., & Montgomery, D. C. (1990) Probability and statistics in engineering and management science. New York: John Wiley and Sons.zbMATHGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Natural Sciences and Humanities, Faculty of Manufacturing Technologies with the seat in PrešovTechnical University of KošicePrešovSlovakia

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