Project description
Fast and easy automised mould designs
The EU-funded AUTOMOLD project is intended to conduct a feasibility study on a novel injection-moulding design workflow, making mould design accessible to a new, semi-professional user base of designers, engineers and artists. It will provide a more cost-efficient way of bringing lower-volume and customised products to the market. The method will drastically reduce the time requirements of mould design and discover highly efficient shape decompositions with curved part boundaries. It will also enable refining the aesthetics of the decomposition without being aware of the specifics of moulding.
Objective
The goal of this project is to develop the proof of concept for a novel injection-molding design workflow, making mold design accessible to a new, semi-professional user base of designers, engineers, and artists. It will provide a more more cost-efficient way of bringing lower-volume and customized products to the market. Recently, the related Materializable ERC Starting Grant has lead to the invention of novel computational tools for mold design, where the decomposition of a general 3D shape into moldable parts - together with the generation of the corresponding mold geometry - is performed fully automatically. The three main advantages of our method are (i) a drastic reduction of the time requirements of mold design (from hours/days down to minutes) and (ii) the discovery of highly efficient shape decompositions with curved part boundaries, which are very hard to design manually due to their counterintuitive nature. Furthermore, our method allows (iii) a non-expert to refine the aesthetics of the decomposition without being aware of the specifics of molding; these are enforced in the background. In order to evaluate the industrial and commercial potential of this invention, we propose the development of a software prototype for automatized mold design.
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.
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologymaterials engineering
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Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
3400 Klosterneuburg
Austria