Objective
Laser-powder bed fusion of metals (PBF-LB/M), also known as selective laser melting (SLM), enables the production of geometrically complex and high-performance metal parts, such as medical implants, nature-inspired structures, and aircraft structural elements. In PBF-LB/M, the laser beam melts metal powder layer after layer, resulting in a solidified metal bulk piece and/or lattice structure. PBF-LB/M supports sustainability through light-weighting, easing supply chain constraints, and enables a high level of product customization. However, the PBF-LB/M process is limited by process condition variations, which often cause defects and quality variations in the printed parts. For example, due to the heat accumulation effect and specific laser toolpath pattern, the depth of melting will vary despite using constant process input parameters such as laser power and scan speed. The inability to predict and control melting process condition variations leads to qualification and certification challenges, hence hindering the wide adoption of this process in industry. The discovery of feasible and effective control methods that can reduce melting process condition variations is critical for the adoption and further advancement of the PBF-LB/M process.
The goal of this project is to develop and validate the first solution for controlling the PBF-LB/M process, which takes into account all common sources of process condition variations. The control solution will be based on the PI's recent breakthrough results in predicting process condition variations in PBF-LB/M. The proposed solution is in i) improved coaxial measuring of meltpool depth variations, ii) combining two state-of-the-art data-driven process condition prediction models, and iii) generating predetermined dynamic adjustments of the laser power along the scan path. The proposed control method's validation will determine the next de facto standard control method for PBF-LB/M.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- medical and health sciences medical biotechnology implants
- natural sciences physical sciences optics laser physics
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1000 Ljubljana
Slovenia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.