Abrukov, Victor S and Lukin, Alexander N and Anufrieva, Darya A and Oommen, Charlie and Sanalkumar, VR and Nichith, C and Bharath, Rajaghatta Sundararam (2019) Recent Advancements in Study of Effects of Nano/Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods. In: DEFENCE SCIENCE JOURNAL, 69 (1). pp. 20-26.
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Abstract
The efforts of Russian-Indian research team for application of the data science methods, in particular, artificial neural networks for development of the multi-factor computational models for studying effects of additive's properties on the solid rocket propellants combustion arc presented. The possibilities of the artificial neural networks (ANN) application in the generalisation of the connections between the variables of combustion experiments as well as in forecasting of ``new experimental results'' are demonstrated. The effect of particle size of catalyst, oxidizer surface area and kinetic parameters like activation energy and heat release on the final ballistic property of AP-HTPB based propellant composition has been modelled using ANN methods. The validated ANN models can predict many unexplored regimes, like pressures, particle sizes of oxidiser, for which experimental data are not available. Some of the regularly measured kinetic parameters extracted from non-combustion conditions could be related to properties at combustion conditions. Results predicted are within desirable limits accepted in combustion conditions.
| Item Type: | Journal Article |
|---|---|
| Publication: | DEFENCE SCIENCE JOURNAL |
| Publisher: | DEFENCE SCIENTIFIC INFORMATION DOCUMENTATION CENTRE |
| Additional Information: | copyright for this article belongs to DEFENCE SCIENCE JOURNAL |
| Keywords: | Solid rocket propellant combustion; Nano-additives; Combustion characteristics; Data science; Artificial neural networks; Multi-factor computational models |
| Department/Centre: | Division of Chemical Sciences > Materials Research Centre Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
| Date Deposited: | 17 May 2019 12:29 |
| Last Modified: | 17 May 2019 12:29 |
| URI: | http://eprints.iisc.ac.in/id/eprint/62450 |
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