2023
DOI: 10.3390/aerospace10121025
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On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review

Arturo Benjamín Hurtado-Pérez,
Abraham de Jesús Pablo-Sotelo,
Fabián Ramírez-López
et al.

Abstract: Launching satellites into the Earth’s orbit is a critical area of research, and very demanding satellite services increase exponentially as modern society takes shape. At the same time, the costs of developing and launching satellite missions with shorter development times increase the requirements of novel approaches in the several engineering areas required to build, test, launch, and operate satellites in the Earth’s orbit, as well as in orbits around other celestial bodies. One area with the potential to s… Show more

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Cited by 1 publication
(2 citation statements)
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References 497 publications
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“…Gradient-based TO uses derivatives of the objective function and problem constraints, utilizing an iterative process to generate successive designs until a notable enhancement in the optimal solution is no longer attainable. Notable examples of gradient-based TO methods encompass level set, moving morphable components, and evolutionary structural optimization (ESO) [4].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Gradient-based TO uses derivatives of the objective function and problem constraints, utilizing an iterative process to generate successive designs until a notable enhancement in the optimal solution is no longer attainable. Notable examples of gradient-based TO methods encompass level set, moving morphable components, and evolutionary structural optimization (ESO) [4].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, they are still evolving and require further development to address diverse design challenges. In the most of design using TO for additive manufacturing, this limit can change the final design considerably and imposes hard limits to the optimization process [4,11]. Deviation of the manufactured parts from the initial design is another challenge in TO and metrology problems that can be addressed with smart search and advanced evaluation techniques [12].…”
Section: Introductionmentioning
confidence: 99%