Please use this identifier to cite or link to this item:
https://sci.ldubgd.edu.ua/jspui/handle/123456789/14013
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DC Field | Value | Language |
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dc.contributor.author | PASTERNAK, Viktoriya | - |
dc.contributor.author | RUBAN, Artem | - |
dc.contributor.author | ZEMLIANSKYI, Oleksandr | - |
dc.contributor.author | IVANOV, Gennady | - |
dc.date.accessioned | 2024-10-22T05:41:41Z | - |
dc.date.available | 2024-10-22T05:41:41Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 1662-9752 | - |
dc.identifier.uri | https://sci.ldubgd.edu.ua/jspui/handle/123456789/14013 | - |
dc.description | In the modern scientific world, understanding and controlling the structure of materials at micro and nanoscales play a crucial role in addressing challenges related to the development of new technologies and materials [1]. Heterogeneous structures, characterized by diversity and complexity, require advanced visualization and analysis methods [2]. It should be noted that the use of various imaging and visualization methods for analyzing heterogeneous structures at micro- and nanoscales is an important yet undetermined issue [3]. Specifically, this applies to modern technologies such as scanning electron microscopy, atomic force microscopy, confocal microscopy, tomography, and other methods that allow obtaining detailed and objective images of material structures [4]. In particular | en_US |
dc.description.abstract | This scientific work justifies imaging and visualization methods for analyzing heterogeneous PA-1 structures at micro- and nanoscales. It explores a key aspect of studying heterogeneous materials, namely the relationship between their microstructure and macroscopic behavior. Using Smart-EYE software, the microstructure and heterogeneous structure of PA-1 aluminum powders are justified through a range of factors. Among them, the extended functionality of the program allows for detailed analysis of particle sizes, shapes, and distribution, ensuring high accuracy and reliability of the analysis results. The capability for quick and efficient analysis of large volumes of data is also highlighted. Additionally, the software enables visualization of analysis results, simplifying their interpretation. Furthermore, the obtained results based on the histogram of particle size distribution, such as normal distribution, skewness, and modality, help avoid minor data defects and ensure proper interpretation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Trans Tech Publications Ltd | en_US |
dc.relation.ispartofseries | Materials Science Forum;Vol. 1126 | - |
dc.subject | microstructure | en_US |
dc.subject | imaging methods | en_US |
dc.subject | visualization methods | en_US |
dc.subject | diameter | en_US |
dc.subject | interpretation of results | en_US |
dc.subject | distribution histogram | en_US |
dc.subject | particles | en_US |
dc.subject | geometric parameters | en_US |
dc.title | Using Various Methods of Imaging and Visualization for Studying Heterogeneous Structures at Micro- and Nanoscales | en_US |
dc.type | Article | en_US |
Appears in Collections: | 2024 |
Files in This Item:
File | Description | Size | Format | |
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SCOPUS 20.pdf | 1.69 MB | Adobe PDF | View/Open |
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