Project description
Algorithms for automatic design of responsive metamaterials structures
Sectors like robotics, automotive and manufacturing increasingly rely on metamaterials. In this context, the ERC-funded Advanced Grant SIZEFFECTS project used discrete elements models (DEM) to understand how materials respond to external mechanical perturbations and, in particular, how materials’ strength changes with the sample size. Building on this work, the EU-funded METADESIGN project will use the DEM methodologies and optimisation algorithms to resolve the general problem of efficient and automatic design of responsive metamaterials machines. The project’s formulated algorithms will be able to produce generic elementary metamaterial actuators with a broad set of possible movements and efficiencies. METADESIGN will commercialise software for the automatic design of responsive metamaterials structures for additive manufacturing.
Objective
We propose to commercialize a software for the automatic design of responsive metamaterials structures for additive manufacturing. During the course of the ERC AdG SIZEFFECTS project, the PI studied the effect of disorder on the mechanics of materials using discrete elements models (DEM), allowing for an efficient simulation of large disordered structures, including metamaterials. The METADESIGN project exploits DEM methodologies and optimization algorithms developed throughout the SIZEFFECTS project to solve the general problem of efficient and automatic design of responsive metamaterials machines. The algorithms put forward by the METADESIGN project is able to produce generic elementary metamaterial actuators with a broad set of possible movements and efficiencies. We propose a commercialization strategy that aims at deploying the software on the cloud allowing for flexible on demand services. Industrial partners and target costumers will be searched in the automotive, robotics and manufacturing industries.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
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Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
20122 Milano
Italy