Project description
Sound and light come together in advanced 3D printing of high-performance metals
Additive manufacturing, also called 3D printing, in which materials are deposited in a bottom-up fashion rather than conventional cutting and shaping methods, offers many advantages for the production of metal components. However, it faces challenges in the control of the alloy’s microstructure, leading to inconsistent mechanical properties, including fatigue life and tensile strength. Within the last few years, the application of ultrasound has shown potential to control fine grain structure and minimise this critical issue. The EU-funded Ultra3DPrint project will employ advanced modelling and synchrotron x-ray imaging techniques to fully characterise the laser 3D printing of metals assisted by ultrasound. Deeper understanding should lead to greater control and defect-free components.
Objective
If successful, this project will be a milestone in the development of 3D printing of metals by laser-directed energy deposition. The purpose of this project is to establish a scientific understanding of laser 3D printing of metals under the influence of ultrasound. A full description of this process will ensure the consistent performance of printed products for critical applications. The applicant will combine cutting-edge in situ synchrotron x-ray imaging and modelling approaches to characterise the development of the melt pool. Expected outcomes are likely to provide production guidance on laser 3D printing of metals with defect-free, highly refined grain structures that can be used to produce high value-added products. This research fellowship will enable the applicant to become an independent research group leader in the field of laser 3D printing.
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.
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseeds
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- natural sciencesphysical sciencesopticslaser physics
- natural sciencesphysical sciencesacousticsultrasound
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Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
WC1E 6BT London
United Kingdom