Windows Washing method of multiscale analysis of the in-situ nano-composites
Authors:
- Natalia Rylko,
- Pawel Kurtyka,
- Olesia Afanasieva,
- Simon Gluzman,
- Ewa Olejnik,
- Anna Wojcik,
- Wojciech Maziarz
Abstract
We develop a fast and effective method of multiscale analysis of composite materials with a complex structure. The complexity of the structure results from the nano-TiC particles of the reinforcing phase being pushed into the interdendritic space during the manufacturing process. In such situations classic image analysis methods are ineffective because they are not able to resolve the high heterogeneity of structure and problems with phase separation. Moreover, even if the image analysis methods are successful, their application to calculate the macroscopic properties is highly problematic because it requires massive data processing. The developed Windows Washing methodology is a multiscale procedure which combines image analysis, statistics, Fourier analysis and analytical Representative Volume Element methods. From the mathematical standpoint we are interested in direct approximate computations of the basic, structural sums. All necessary input concerning the structure of materials is introduced from the real experimental data. There are some inherent limitations on experimental accuracy of determining the positions of particles. But they could be overcome by the complex methodology of Windows Washing. The more efforts we apply the more accurate reconstruction of the positions could be achieved. In fact, instead of real particles we use their images quantified by pixels. The qualitative relationship between the structural image and macro-properties of the nano-TiC composite is found directly on the 2D structural image’s pixel level. The developed method establishes a solid foundation for building a database for classification of the composite structures. The appropriate architecture of data analysis, called Extract, Transform, and Load is included in the developed method.
- Record ID
- CUT98a293b48b0246abab9a363897c1fe93
- Publication categories
- ;
- Author
- Journal series
- International Journal of Engineering Science, ISSN 0020-7225, e-ISSN 1879-2197
- Issue year
- 2022
- Vol
- 176
- Pages
- [1-17]
- Article number
- 103699
- Other elements of collation
- fot.; rys.; schem.; tab.; wykr.; Bibliografia (na s.) - 16-17; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 176
- Keywords in English
- multiscale analysis, SHS in-situ nano-composites, Discrete Fourier Transform, analytical Representative Volume Element (aRVE), quantitative structure analysis, materials informatics
- ASJC Classification
- DOI
- DOI:10.1016/j.ijengsci.2022.103699 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S0020722522000702 Opening in a new tab
- Related project
- Kompozyty odlewane in-situ wzmacniane nanocząstkami faz ceramicznych. . Project leader at PK: , ,
- Language
- eng (en) English
- Score (nominal)
- 200
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT98a293b48b0246abab9a363897c1fe93/
- URN
urn:pkr-prod:CUT98a293b48b0246abab9a363897c1fe93
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.