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Wyszukujesz frazę "Lee, Ji Eun" wg kryterium: Autor

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    Wyświetlanie 1-7 z 7
    Tytuł:
    Development of Superior Thermal Protective Coating on Carbon Composites
    Autorzy:
    Bae, Soo Bin
    Lee, Ji Eun
    Paik, Jong Gyu
    Cho, Nam Choon
    Lee, Hyung Ik
    Powiązania:
    https://bibliotekanauki.pl/articles/354076.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    composite
    silicon carbide
    CVR
    CVD
    Opis:
    A superior SiC based thermal protection coating process for carbon composite, which can be especially effective in a hot oxidizing atmosphere, was established in this study. A multi-coating process based on a combination of Chemical Vapor Reaction (CVR) and Chemical Vapor Deposition (CVD) was developed. Various protective coating layers on carbon composite were tested in hot oxidizing surroundings and the test results verified that the thermal ablation rate could be dramatically reduced down to 3.8% when the protective multi-coating was applied. The thermal protection mechanism of the coating layers was also investigated.
    Źródło:
    Archives of Metallurgy and Materials; 2020, 65, 4; 1371-1375
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluating the Durability of SiC-Coated Carbon Composites Under Thermal Shock Conditions
    Autorzy:
    Lee, Ji Eun
    Bae, Soo Bin
    Cho, Nam Choon
    Lee, Hyung Ik
    Meng, Zicheng
    Lee, Kee Sung
    Powiązania:
    https://bibliotekanauki.pl/articles/2049309.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    durability
    carbon composites
    silicon carbide coating
    chemical vapor deposition
    chemical vapor reaction
    Opis:
    Oxidation and indentation properties of silicon carbide-coated carbon composites were investigated to analyze its durability under atmospheric thermal shock conditions. The silicon carbide-coated samples were prepared either with chemical vapor deposition or chemical vapor reaction/chemical vapor deposition hybrid coating. The remnant weight of uncoated and coated samples was investigated after each thermal shock cycle. The surface and cross-section of coated samples were then analyzed to confirm morphological changes of the coating layers. The spherical indentation test for uncoated and coated samples were also performed. As a result, silicon carbide coating improved the oxidation resistance, elastic modulus, and hardness of carbon composites. Hybrid coating drastically enhanced the durability of samples at high temperature in atmospheric conditions.
    Źródło:
    Archives of Metallurgy and Materials; 2021, 66, 3; 777-782
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Education and Research on Polish Studies in Korea
    Autorzy:
    Cheong, Kwon Byung
    Kim, Jong Suck
    Choi, Sung Eun (Estera Czoj)
    Kim, Yong Deog
    Kim, Ji Young
    Lee, Ok Jin
    Lee, Ji Wone
    Koh, Seung Hui
    Powiązania:
    https://bibliotekanauki.pl/articles/26414309.pdf
    Data publikacji:
    2013-06-30
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    Polish studies
    Korea
    Department of Polish Studies
    HUFS
    Opis:
    Polish education and research in Korea has become systematic since the establishment of the Department of Polish Studies at Hankuk University of Foreign Studies (HUFS). The Department of Polish Studies at HUFS is the only academic department in Korea which teaches and studies the politics, economy, history, and culture of Poland, as well as the Polish language and literature. Since its establishment in 1987, the department has produced more than 800 graduates. The Department of Polish Studies forms and maintains a close relationship with universities in Poland. It also makes continuous effort for more students to study the Polish language at universities in Poland.
    Źródło:
    The New Educational Review; 2013, 32; 19-34
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Study on the Optimization of Metalloid Contents of Fe-Si-B-C Based Amorphous Soft Magnetic Materials Using Artificial Intelligence Method
    Autorzy:
    Choi, Young-Sin
    Kwon, Do-Hun
    Lee, Min_Woo
    Cha, Eun-Ji
    Jeon, Junhyub
    Lee, Seok-Jae
    Kim, Jongryoul
    Kim, Hwi-Jun
    Powiązania:
    https://bibliotekanauki.pl/articles/2174571.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Fe-based amorphous
    soft magnetic properties
    artificial intelligence
    machine learning
    random forest regression
    Opis:
    The soft magnetic properties of Fe-based amorphous alloys can be controlled by their compositions through alloy design. Experimental data on these alloys show some discrepancy, however, with predicted values. For further improvement of the soft magnetic properties, machine learning processes such as random forest regression, k-nearest neighbors regression and support vector regression can be helpful to optimize the composition. In this study, the random forest regression method was used to find the optimum compositions of Fe-Si-B-C alloys. As a result, the lowest coercivity was observed in Fe80.5Si3.63B13.54C2.33 at.% and the highest saturation magnetization was obtained Fe81.83Si3.63B12.63C1.91at.% with R2 values of 0.74 and 0.878, respectively.
    Źródło:
    Archives of Metallurgy and Materials; 2022, 67, 4; 1459--1463
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of Cooling Rate on the Microstructure and Mechanical Properties of Al-33 wt.% Cu Alloy
    Autorzy:
    Lee, Yeon-Joo
    Kwon, Do-Hun
    Cha, Eun-Ji
    Song, Yong-Wook
    Choi, Hyun Joo
    Kim, Hwi-Jun
    Powiązania:
    https://bibliotekanauki.pl/articles/2203708.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    laser melting
    cooling rate
    lamellar spacing
    hardness
    Al-33wt.%Cu alloy
    Opis:
    Directed energy deposition (DED) is an additive manufacturing process wherein an energy source is focused on a substrate on which a feedstock material is simultaneously delivered, thereby forming a small melt pool. Melting, solidification, and subsequent cooling occur at high rates with considerable thermal gradients compared with traditional metallurgical processes. Hence, it is important to examine the effects of cooling rates on the microstructures and properties of the additive manufactured materials. In this study, after performing DED with various energy densities, we investigated the changes in the microstructures and Vickers hardness of cast Al-33 wt.% Cu alloy, which is widely used to estimate the cooling rate during processing by measuring the lamellar spacing of the microstructure after solidification. The effects of the energy density on the cooling rate and resultant mechanical properties are discussed, which suggests a simple way to estimate the cooling rate indirectly. This study corresponds to the basic stage of the current study, and will continue to apply DED in the future.
    Źródło:
    Archives of Metallurgy and Materials; 2023, 68, 1; 43--46
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High-Efficiency Cooling System Using Additive Manufacturing
    Autorzy:
    Woo, Yeong-Jin
    Nam, Dong-Ho
    Lee, Seok-Rok
    Kim, Eun-Ah
    Lee, Woo-Jin
    Yang, Dong-Yeol
    Yu, Ji-Hun
    Park, Yong-Ho
    Lee, Hak-Sung
    Powiązania:
    https://bibliotekanauki.pl/articles/2049198.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    additive manufacturing
    DfAM
    Design for Additive Manufacturing
    cooling system
    lattice structure
    simulation
    Opis:
    In this study, we propose a cooling structure manufactured using a specialized three-dimensional (3D) printing design method. A cooling performance test system with complex geometry that used a thermoelectric module was manufactured using metal 3D printing. A test model was constructed by applying additive manufacturing simulation and computational fluid analysis techniques, and the correlation between each element and cooling efficiency was examined. in this study, the evaluation was conducted using a thermoelectric module base cooling efficiency measurement system. The contents were compared and analyzed by predicting the manufacturing possibility and cooling efficiency, through additive manufacturing simulation and computational fluid analysis techniques, respectively.
    Źródło:
    Archives of Metallurgy and Materials; 2021, 66, 3; 689-693
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Prediction of Optimized Metalloid Content in Fe-Si-B-P Amorphous Alloys Using Artificial Intelligence Algorithm
    Autorzy:
    Lee, Min_Woo
    Choi, Young-Sin
    Kwon, Do-Hun
    Cha, Eun-Ji
    Kang, Hee-Bok
    Jeong, Jae-In
    Lee, Seok-Jae
    Kim, Hwi-Jun
    Powiązania:
    https://bibliotekanauki.pl/articles/2176648.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Fe-based amorphous alloy
    metalloid elements
    artificial intelligence
    coercivity
    saturation magnetization
    Opis:
    Artificial intelligence operated with machine learning was performed to optimize the amount of metalloid elements (Si, B, and P) subjected to be added to a Fe-based amorphous alloy for enhancement of soft magnetic properties. The effect of metalloid elements on magnetic properties was investigated through correlation analysis. Si and P were investigated as elements that affect saturation magnetization while B was investigated as an element that affect coercivity. The coefficient of determination R2 (coefficient of determination) obtained from regression analysis by learning with the Random Forest Algorithm (RFR) was 0.95 In particular, the R2 value measured after including phase information of the Fe-Si-B-P ribbon increased to 0.98. The optimal range of metalloid addition was predicted through correlation analysis method and machine learning.
    Źródło:
    Archives of Metallurgy and Materials; 2022, 67, 4; 1539--1542
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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