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Identification of fullerenes in iron-carbon alloys structure.
- Source :
- Нанотехнологии в строительстве, Vol 9, Iss 6, Pp 151-163 (2017)
- Publication Year :
- 2017
- Publisher :
- OOO "CNT «NanoStroitelstvo», 2017.
-
Abstract
- Steels of various purposes are used in the construction industry, for example, as the reinforcement material in reinforced concrete structures. In the oil and gas industry, steel structures are used for storage and transportation of explosive toxic media. In this case the catastrophic damages might take place, that points at insufficiently deep knowledge about the processes running in structural materials when load is applied. Recent studies show that many properties of steel are set at the nanoscale level during crystallization from the molten metal and thermal treatment. To detect and identify fullerenes С60 and С70, which are independent nanoscale objects in steel structure, by various methods requires studying of how these objects influence on formation of steel properties. Iron atoms can serve as a catalyst and, interacting with large aromatic structures or fragments of the graphite planes, they form voluminous fullerene-type structures. The inverse phenomenon, i.e. influence of the formed nanoscale objects on structuring of the iron atoms, is also possible, as fullerene size is comparable with the size of the stable nucleus of the iron crystalline phase. The article discusses the issue of mechanisms of fullerenes formation in steels and cast irons. The most complicated issue in the study is the fullerenes identification by spectral methods as the quantity of released molecules is small. In order to increase the sensitivity of the fullerenes IR-spectrometry method, potassium bromide has been proposed to use. Dried and reduced sediment obtained as a result of dissolving iron matrix in steels is mixed with potassium bromide, the mixture becomes bright-orange. This fact points to presence of bromic fullerenes and to presence of fullerenes in the studied specimens. It is shown that the offered specimen preparation algorithm significantly increases sensitivity of the method.
Details
- Language :
- English, Russian
- ISSN :
- 20758545
- Volume :
- 9
- Issue :
- 6
- Database :
- Directory of Open Access Journals
- Journal :
- Нанотехнологии в строительстве
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3f05f1075bd4e9b8367e745d1e4dc09
- Document Type :
- article
- Full Text :
- https://doi.org/10.15828/2075-8545-2017-9-6-151-163