Grain Propellant Optimization Using Real Code Genetic Algorithm (RCGA)

Grain propellant design is important in rocket motor design. The total impulse and ISP of the rocket motor is influenced by the grain propellant design. One way to get a grain propellant shape that generates the maximum total impulse value is to use the Real Code Genetic Algorithm (RCGA) method. In...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1005; no. 1; pp. 12033 - 12044
Main Authors Al Farizi, Muhammad Farraz, Bura, Romie Oktovianus, Junjunan, Soleh Fajar, H. Jihad, Bagus
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2018
Subjects
Combustion chambers
Genetic algorithms
Optimization
Physics
Rocket engines
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ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/1005/1/012033

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Summary:Grain propellant design is important in rocket motor design. The total impulse and ISP of the rocket motor is influenced by the grain propellant design. One way to get a grain propellant shape that generates the maximum total impulse value is to use the Real Code Genetic Algorithm (RCGA) method. In this paper RCGA is applied to star grain Rx-450. To find burn area of propellant used analytical method. While the combustion chamber pressures are sought with zero-dimensional equations. The optimization result can reach the desired target and increase the total impulse value by 3.3% from the initial design of Rx-450.
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ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/1005/1/012033