Mechanical Metamaterials by Topology Optimization

Master Thesis (2019)
Author(s)

G. Blokland (TU Delft - Mechanical Engineering)

Contributor(s)

M. Langelaar – Coach (TU Delft - Computational Design and Mechanics)

S. Koppen – Coach (TU Delft - Computational Design and Mechanics)

Faculty
Mechanical Engineering
Copyright
© 2019 Geert Blokland
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Geert Blokland
Graduation Date
04-12-2019
Awarding Institution
Delft University of Technology
Programme
['Mechanical Engineering | Precision and Microsystems Engineering']
Faculty
Mechanical Engineering
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Abstract

Auxetic materials exhibit material properties, which are usually not seen in nature. This type of materials belong to the class of mechanical metamaterials and can be used for e.g. energy absorption, cloaking of objects, shape morphing applications and the design of fiber-reinforced composites. They exhibit a negative Poisson’s value and derive their unusual properties from their architecture and are arranged in a pattern of unit cells. However, the design of their architecture is limited by the combination of degrees of freedom and therefore, a topology optimization (TO) procedure is utilized to allow sufficient design freedom. This thesis focuses on the generation, numerical and experimental validation of mechanical metamaterials. Auxetic unit cells are generated using an energy-based TO approach with periodic boundary conditions, with a valid response in the linear elastic regime. A patch of unit cells is numerically investigated for suitable test conditions and auxetic designs are fabricated for testing purposes using the fused deposit modeling (FDM) technique. The possibilities and shortcomings of this print technique are explored and relevant findings came out. Finally, compression tests of the as-printed auxetic designs are conducted to validate the auxetic behavior in practice. This thesis shows that the experimentally tested novel auxetic designs generate new knowledge towards the validation of mechanical metamaterials. It has been shown that the upcoming and user-friendly additive manufacturing technique, (FDM), is suited to generate and validate optimized geometries.

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