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Generative Design and Additive Manufacturing of Bio-Inspired Cellular Structures for Aerospace Lightweighting

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London, United Kingdom

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Generative Design and Additive Manufacturing of Bio-Inspired Cellular Structures for Aerospace Lightweighting

About the Project

The aerospace industry faces a persistent and critical need for lighter, more efficient structures to reduce operational fuel consumption and increase payload capacity. This research project directly addresses this challenge by proposing a novel methodology for the design and fabrication of ultra-lightweight aerospace components. The core innovation lies in drawing inspiration from nature’s most efficient cellular structures and realising them through a tightly integrated workflow combining generative design with advanced additive manufacturing (AM). This approach aims to move beyond simple biomimicry to engineer functionally superior parts optimised for specific performance criteria.

Over millennia, natural selection has produced structures that achieve maximum mechanical strength for minimal material investment. Exemplars include the internal trabecular architecture of bone, which continuously remodels to bear dynamic loads, and the intricate silicate skeletons of microscopic radiolaria. These biological systems are not monolithic solids but complex, porous, and hierarchical cellular solids. This project will focus on abstracting the underlying design principles from these natural systems, such as cell size gradation, strut connectivity, and anisotropic topology, and translating them into a robust engineering design framework. While machine learning may be utilised as a tool within generative design software, the central research thrust is the fundamental link between the biological concept and the manufactured product, rather than the development of novel ML algorithms. The outcome will be a new generation of aerospace components that are not only significantly lighter but also possess tailored structural integrity.

Funding Notes

there is no funding for this project

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