Development of the multifactorial computational models of the solid propellant combustion by means of data science methods – Phase III

Abrukov, VS and Lukin, AN and Kiselev, MV and Anufrieva, DA and Oommen, C and Chandrasekaran, N and Mariappan, A and Sanalkumar, VR (2019) Development of the multifactorial computational models of the solid propellant combustion by means of data science methods – Phase III. In: AIAA Propulsion and Energy Forum and Exposition, 2019, 19-22 Aug., 2019, Indianapolis; United States.

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Abstract

In this paper, we present the results of usage of data science methods, in particular artificial neural networks, for the creation of new multifactor computational models for prediction of burn rate of the solid propellants (SP). The analytical system PolyAnalyst and analytical platform Loginom were used for the model creation. The particular model developed was for burn rate prediction of double base propellants with thermite additives, both nano and micro by means of training the ANN using experimental data published in scientific literature. The basis (script) of a creation of Data Wharehouse of SP combustion was developed. The Data Wharehouse can be supplemented by new data in automated mode and serve as a basis for creating new generalized combustion models of SP and thus the beginning of work in a new direction of combustion science, which the authors propose to call “Propellant Combustion Genome” (by analogy with a very famous Materials Genome Initiative (MGI)). Propellant Combustion Genome opens possibilities for accelerating the advanced propellants development.

Item Type:	Conference Paper
Publication:	AIAA Propulsion and Energy Forum and Exposition, 2019
Publisher:	American Institute of Aeronautics and Astronautics Inc
Additional Information:	The copyright of this article belongs to American Institute of Aeronautics and Astronautics Inc, AIAA.
Keywords:	Additives; Computation theory; Computational methods; Data Science; Neural networks; Propulsion; Solid propellants, Analytical systems; Combustion model; Combustion science; Computational model; Double-base propellant; Scientific literature; Solid propellant combustion; Thermite additives, Combustion
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	02 Jul 2020 10:43
Last Modified:	27 Jul 2022 10:17
URI:	https://eprints.iisc.ac.in/id/eprint/64676

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