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    Wyświetlanie 1-3 z 3
    Tytuł:
    Investigations of the magnetization reversal processes in nanocrystalline Nd-Fe-B alloys doped by Nb
    Autorzy:
    Kaźmierczak, M.
    Pawlik, P.
    Wysłocki, J.
    Wnuk, I.
    Gębara, P.
    Pawlik, K.
    Przybył, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1052622.pdf
    Data publikacji:
    2017-04
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    75.30.Sg
    75.50.Bb
    Opis:
    In the following article the magnetic properties and phase composition of (Nd₁₀Fe₆₇B₂₃)_{100-x}Nb_{x} (where x=5, 6, 7, 8, 9) alloys in the form of ribbons are discussed. The X-ray diffraction studies revealed the coexistence of amorphous and nanocrystalline structures consisting of Nd₂Fe₁₄B, Nd_{1+ε}Fe₄B₄ and metastable Nd₂Fe₂₃B₃ phases. The shape of M_{rev} (M_{irr}) suggests that the magnetization reversal proceeds through the nucleation of the reversal domain for the ribbon doped with 5-7 at.% of Nb and the subsequent pinning of the domain walls for ribbons doped with 8 and 9 at.% of Nb.
    Źródło:
    Acta Physica Polonica A; 2017, 131, 4; 789-791
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Magnetic Properties and Phase Constitution of the Nanocrystalline $(Nd_{10}Fe_{67}B_{23})_{100-x}Nb_{x}$ (where x=1, 2, 3, 4) Alloy Ribbons
    Autorzy:
    Kaźmierczak, M.
    Pawlik, K.
    Pawlik, P.
    Gębara, P.
    Przybył, A.
    Wysłocki, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1402329.pdf
    Data publikacji:
    2015-07
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    75.20.En
    91.60.Pn
    Opis:
    In the present work the magnetic properties and phase constitution of $(Nd_{10}Fe_{67}B_{23})_{100-x}Nb_{x}$ (where x=1, 2, 3, 4) alloys in a form of ribbons were investigated. The ribbon samples were obtained by controlled atmosphere melt-spinning technique. In order to generate the nanocrystalline microstructure, ribbons were annealed at various temperatures (from 923 K to 1023 K) for 5 min. Subsequent annealing resulted in an evolution of the phase constitution accompanied by a change of their magnetic properties. The X-ray diffraction studies show presence of hard magnetic $Nd_{2}Fe_{14}B$, paramagnetic $Nd_{1+\epsilon}Fe_{4}B_{4}$ and ferromagnetic metastable $Nd_{2}Fe_{23}B_{3}$ phases. The best hard magnetic parameters were measure for annealed ribbons of the $(Nd_{10}Fe_{67}B_{23})_{96}Nb_{4}$ alloy.
    Źródło:
    Acta Physica Polonica A; 2015, 128, 1; 91-93
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analiza zależności między zawartością wody w roślinach zmierzoną w terenie a teledetekcyjnymi wskaźnikami roślinności
    Analysis of the relationships between vegetation water content obtained from field measurements and vegetation indices
    Autorzy:
    Niedzielko, J.
    Milczarek, M.
    Szepietowska, M.
    Pokrzywnicka, M.
    Boral, B.
    Łach, G.
    Kaźmierczak, M.
    Jarocińska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/132373.pdf
    Data publikacji:
    2012
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    teledetekcyjne wskaźniki roślinności
    Landsat
    zawartość wody w roślinach
    Kanada
    vegetation indices
    vegetation water content
    Canada
    Opis:
    Monitoring the plant moisture has a significant role in geographical research. It may be used, among the others, for climate modelling, agricultural predicting, rational water management, drought monitoring and determining vulnerability to the occurrence of the fire. Traditional methods, based on field measurements, are the most accurate, but also time-consuming. Therefore these methods can be applied only in a limited area. In order to explore bigger areas remote sensing methods are useful. To analyse plant condition and water content vegetation indices can be used. Their calculations are based on the reflectance in different bands. Despite many studies conducted on the development of remote sensing indices, still there is a need for verification of their accuracy and usefulness by comparing the results obtained through remote sensing tools with the results of field measurements. In this paper three indices are used: Moisture Stress Index (MSI), Normalized Difference Infrared Index (NDII) and transformation Tasseled Cap (the Wetness band). The aim of this study was to compare the value of vegetation indices calculated using images from Landsat 5 Thematic Mapper with the results of field measurement from five test areas of different type of land cover: cereal crops, non-cereal crops, forests, meadows and pastures. Research was carried out in province Ontario (Canada) and consisted of two stages. The first stage was the fi eld measurements, where the specified number of plant samples was collected and water content was calculated. The second stage consisted of the preparation of relevant satellite images (atmospheric correction and making the mosaic) and the calculation of vegetation indices. The study has shown, that statistical relationships between data sets obtained through remote sensing indices and calculated on the basis of field measurements are diverse for different indices. MSI and NDII values are significantly correlated with the water content in plants (R= -0.62 and 0.56, respectively). The correlation of TCW was rated as moderate (R=0.30). Spatial distribution of water content based on maps created using NDII and MSI is similar. It was noticed that TC Wetness transformation overestimates water content in cereal plants (smaller water content) and underestimates it in natural green plant ecosystems, which generally have higher water content. As a result, the range of water content values obtained from TCW is more narrow (dominates the class of 60-70% water in plants) than the range of values calculated using NDII and MSI. Both indices have more uniform distribution dominated by the classes of moderate water content (50-60%), rather wet plants (60-70%) and very wet plants (70-80%). Each index is characterized by different distribution of the water content. In general values calculated on the basis of NDII and MSI are higher than calculated using TCW. In order to perform more accurate analysis between values calculated using satellite images and the results of field measurements, the values of particular types of land cover should be compared.
    Źródło:
    Teledetekcja Środowiska; 2012, 47; 43-57
    1644-6380
    Pojawia się w:
    Teledetekcja Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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