Project description
Extending an additive manufacturing technique to the production of functional ceramics
Functionally graded materials are synthetic materials whose composition, microstructure and other properties differ along sections of the material. Current methods of producing functional ceramics are limited in their ability to create custom and complex-shaped parts. Funded by the Marie Skłodowska-Curie Actions programme, the GraCerLit project aims to adapt lithography-based ceramic manufacturing – a newly developed additive manufacturing method of producing monolithic ceramics – to the production of functional ceramics of any composition and shape. The newly created ceramic samples will be characterised in terms of their mechanical, physical and microstructural properties.
Objective
Functionally Graded Materials (FGMs) were developed for applications where a continuous, stepped or spatial change in composition and/or microstructure is required. In recent years, an interest has been given to Functionally Graded Ceramics (FGCs) since high-complex technical ceramics are increasingly requested in almost every field of applications. In the past, conventional methods have been used for the production of FGC components. However, these methods have limitations in production of custom and complex-shaped ceramic parts. Lithography-based Ceramic Manufacturing (LCM), a recently developed additive manufacturing method by Lithoz GmbH and is used successfully for the cost-efficient, fast and near-net-shape production of monolithic ceramics. In the GraCerLit project, a new LCM printing setup will be designed and the open platform LCM printer prototype will be adapted that allows manufacturing of ceramic-ceramic FGCs without composition and geometry limitations. FGC samples will be produced and characterized in terms of mechanical, physical and microstructural properties. The process-structure-property (PSP) relations of FGC samples will be established through regression analysis by applying Machine Learning (ML) algorithms. The project will be carried out by the experienced researcher (ER) Dr. -Ing. Serkan Nohut who has wide experience on statistical characterization of advanced ceramics and generation of PSP relations. The ER will collaborate with the supervisor Dr. Martin Schwentenwein who has a strong background in manufacturing ceramic components by LCM method and experience on execution and management of EU funded research projects. The technical knowledge and professional skills that will be gained by the ER during the GraCerLit project will make great contributions for his future career development and provide him opportunities to participate in international research projects by cooperating with prestigious research institutes.
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 mathematicsgeometry
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologymaterials engineeringceramics
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Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
1060 Wien
Austria
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.