Publication de 6 numéros par an
ISSN Imprimer: 2150-766X
ISSN En ligne: 2150-7678
Indexed in
APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR CREATION OF "BLACK BOX" MODELS OF ENERGETIC MATERIALS COMBUSTION
RÉSUMÉ
The possibilities of artificial neural networks (ANN) technologies for modeling and characteristics prediction of energetic materials burning are discussed. For the first time, the "black box" computational model of burning characteristics prediction for a propellant is created. It allows one to predict the temperature profiles in propellant combustion waves by means of data about heat of combustion, burning rate, and pressure. Another kind of "black box" computational model is also discussed, which allows one to determine a propellant mixture providing a necessary burning rate for various pressures. Methods for the creation of such models are discussed. The examples of ANN being used for the temperature profile prediction for nitrocellulose and ammonium perchlorate based composite propellants under various experimental conditions are presented.
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Ablameyko, S., Goras, L., Gori, M., and Piuri, V., Neural Networks for Instrumentation, Measurement and Related Industrial Applications.
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Zenin, A.A., Thesis on a Scientific Degree of the Doctor of Sciences.
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Zenin, A.A., Physical Processes for Combustion and Explosion.
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Lewis, B., Pees, R.N., and Taylor, H.S., Processes of Combustion.
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Abrukov Victor, Kochakov Valery, Smirnov Alexander, Abrukov Sergey, Anufrieva Darya, Knowledge-based system is a goal and a tool for basic and applied research, 2015 9th International Conference on Application of Information and Communication Technologies (AICT), 2015. Crossref
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Abrukov Victor S, Lukin Alexander N., Oommen Charlie, Chandrasekaran Nichith, Bharath Rajaghatta S., Sanal Kumar VR, Kiselev Mikhail V, Anufrieva Darya A, Development of the Multifactorial Computational Models of the Solid Propellants Combustion by Means of Data Science Methods – Phase II, 2018 Joint Propulsion Conference, 2018. Crossref
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Abrukov Victor S., Lukin Alexander N., C Nichith, Oommen Charlie, V. Kiselev Mikhail, A. Anufrieva Darya, Sanal Kumar VR, Development of the Multifactorial Computational Models of the Solid Propellants Combustion by Means of Data Science Methods –Phase III, AIAA Propulsion and Energy 2019 Forum, 2019. Crossref
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Mariappan Amrith, Choi Hanlim, Abrukov Victor S, Anufrieva Darya A., Lukin Alexander N., Sankar Vigneshwaran, Sanal Kumar VR, The Application of Energetic Materials Genome Approach for Development of the Solid Propellants Through the Space Debris Recycling at the Space Platform, AIAA Propulsion and Energy 2020 Forum, 2020. Crossref
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Abrukov Victor S., Lukin Alexander N., Oommen Charlie, Sanal Kumar VR, Chandrasekaran Nichith, Sankar Vigneshwaran, Murugesh Pavithra, Development of the Multifactorial Computational Models of the Solid Propellants Combustion by Means of Data Science Methods - Phase I, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. Crossref