Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction
This study deals with the application of optimization in Finocyl grain design with ballistic objective functions using a genetic algorithm. The classical sampling method is used for space filling; a level-set method is used for simulating the evaluation of a burning surface of the propellant grain....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/3060173 |
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| _version_ | 1832547565510328320 |
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| author | Saeed Mesgari Mehrdad Bazazzadeh Alireza Mostofizadeh |
| author_facet | Saeed Mesgari Mehrdad Bazazzadeh Alireza Mostofizadeh |
| author_sort | Saeed Mesgari |
| collection | DOAJ |
| description | This study deals with the application of optimization in Finocyl grain design with ballistic objective functions using a genetic algorithm. The classical sampling method is used for space filling; a level-set method is used for simulating the evaluation of a burning surface of the propellant grain. An algorithm is developed beside the level-set code that prepares the initial grain configuration using a computer-aided design (CAD) to export generated models to the level-set code. The lumped method is used to perform internal ballistic analysis. A meta-model is used to surrogate the level-set method in an optimization design loop. Finally, a case study is done to verify the proposed algorithm. Observed results show that the grain design method reduced the design time significantly, and this algorithm can be used in designing any grain type. |
| format | Article |
| id | doaj-art-40c41105c5ab4f0c9b204a1f47f5c1b3 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-40c41105c5ab4f0c9b204a1f47f5c1b32025-02-03T06:44:17ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742019-01-01201910.1155/2019/30601733060173Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function ConstructionSaeed Mesgari0Mehrdad Bazazzadeh1Alireza Mostofizadeh2Department of Mechanical Engineering, Malek-Ashtar University of Technology, Shahin Shahr, Isfahan 83145/115, IranDepartment of Mechanical Engineering, Malek-Ashtar University of Technology, Shahin Shahr, Isfahan 83145/115, IranDepartment of Mechanical Engineering, Malek-Ashtar University of Technology, Shahin Shahr, Isfahan 83145/115, IranThis study deals with the application of optimization in Finocyl grain design with ballistic objective functions using a genetic algorithm. The classical sampling method is used for space filling; a level-set method is used for simulating the evaluation of a burning surface of the propellant grain. An algorithm is developed beside the level-set code that prepares the initial grain configuration using a computer-aided design (CAD) to export generated models to the level-set code. The lumped method is used to perform internal ballistic analysis. A meta-model is used to surrogate the level-set method in an optimization design loop. Finally, a case study is done to verify the proposed algorithm. Observed results show that the grain design method reduced the design time significantly, and this algorithm can be used in designing any grain type.http://dx.doi.org/10.1155/2019/3060173 |
| spellingShingle | Saeed Mesgari Mehrdad Bazazzadeh Alireza Mostofizadeh Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction International Journal of Aerospace Engineering |
| title | Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction |
| title_full | Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction |
| title_fullStr | Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction |
| title_full_unstemmed | Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction |
| title_short | Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction |
| title_sort | finocyl grain design using the genetic algorithm in combination with adaptive basis function construction |
| url | http://dx.doi.org/10.1155/2019/3060173 |
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