Project description
Intelligent lightweight design of multiscale lattice structures made from porous materials
Integrated material–structure design (IMSD) combines materials engineering with structural engineering to better achieve targeted structural performance. Lattice structures consisting of repeating units of webs or trusses are among the key areas of application. These structures can lend strength and flexibility to lightweight materials. With the support of the Marie Skłodowska-Curie Actions programme, the ROFiDMS project is developing advanced methods to optimise the design of multiscale lattice structures built from porous materials using additive manufacturing. The methods will support IMSD addressing specific challenges for the first time to meet multiple performance criteria.
Objective
This project will develop novel topology optimization (TO) methods for the design of multi-scale lattice structures built using additive manufacturing (AM) from porous materials to achieve multiple performance criteria (e.g. stiffness and strength, mass and safety factors, static and dynamic performance). To this end, an intelligent lightweight design concept which combines a novel non-probabilistic reliability-based topology optimization (RBTO) framework and efficient solution algorithms, will be developed for integrated material-structure design (IMSD). The action will, for the first time, address a number of technical challenges in the integrated RBTO design of multi-scale lattice structures manufactured from porous materials, (e.g. accurate evaluation of the mechanical properties of high-porosity microstructures incorporating uncertainties, dynamic reliability prediction of multi-scale lattice structures, and non-probabilistic reliability-based design strategies). The applicant, working with the team at CU will deliver internationally recognized knowledge and techniques in the research field of IMSD
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 sciencesmathematicspure mathematicstopology
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
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Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
CF24 0DE Cardiff
United Kingdom