Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots

Isakhani, Hamid, Bellotto, Nicola, Fu, Qinbing and Yue, Shigang (2021) Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots. Journal of Computational Design and Engineering, 8 (5). pp. 1191-1203. ISSN 2288-5048

Full content URL: https://doi.org/10.1093/jcde%2Fqwab040

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Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots
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Abstract

Gliding is generally one of the most efficient modes of flight in natural fliers that can be further emphasised in the aircraft industry to reduce emissions and facilitate endured flights. Natural wings being fundamentally responsible for this phenomenon are developed over millions of years of evolution. Artificial wings on the other hand, are limited to the human-proposed conceptual design phase often leading to sub-optimal results. However, the novel Generative Design (GD) method claims to produce mechanically improved solutions based on robust and rigorous models of design conditions and performance criteria. This study investigates the potential applications of this Computer-Associated Design (CAsD) technology to generate novel micro aerial vehicle wing concepts that are structurally more stable and efficient. Multiple performance-driven solutions (wings) with high-level goals are generated by an infinite scale cloud computing solution executing a machine learning based GD algorithm. Ultimately, the highest performing CAsD concepts are numerically analysed, fabricated, and mechanically tested according to our previous study, and the results are compared to the literature for qualitative as well as quantitative analysis and validations. It was concluded that the GD-based tandem wings' (fore-& hindwing) ability to withstand fracture failure without compromising structural rigidity was optimised by 78% compared to its peer models. However, the weight was slightly increased by 11% with 14% drop in stiffness when compared to our models from previous study.

Keywords:computer-associated design, bioinspired corrugated wings, vacuum thermoforming, additive manufacturing, flexural stiffness, maximum deformation rate
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:46871
Deposited On:11 Oct 2021 10:39

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