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The Application of Genetic Algorithm in Design of 3D Printed High Altitude Balloon Capsule
被引：0
|作者：
Gocyla, Michal
[1
]
机构：
[1] Neuronator, Krakow, Poland
来源：
SELECTED PROCEEDINGS OF THE 6TH SPACE RESOURCES CONFERENCE, KGK 2023
|
2024年
关键词：
Evolutionary algorithms;
Stratospheric missions;
D O I：
10.1007/978-3-031-53610-6_7
中图分类号：
V [航空、航天];
学科分类号：
08 ;
0825 ;
摘要：
Genetic algorithms were applied to design high altitude balloon capsules. Capsule was printed from PLA in FFF and sent into the stratosphere with biological samples. As predicted cargo was not harmed, energy of the landing was absorbed by energy absorbing structures. To lower the mass of the capsule and mission level of risk every generated design underwent 3000 virtual landings on randomly generated surfaces. First batch of 100 designs was generated semi-randomly, following 99 batches came from averaging alphanumeric strings which contained a full description of designs (one string contained description of one design). Amount of designs in a batch was constant.
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页码：75 / 80
页数：6
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