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OMNIMETAL - Total digital metal twin

Reference number
Coordinator RISE SWECAST - Swerea SWECAST AB
Funding from Vinnova SEK 500 000
Project duration November 2018 - May 2019
Status Completed

Important results from the project

Enable far-reaching digitization of foundries by building a high-resolution and generally applicable digital twin of the temperature and time-dependent material properties of different metals and metal alloys before, during and after the casting process, regarding scrap, melting process, alloy distribution, viscosity, solidification process, thermal conductivity, and the mechanical properties and structure of the resulting cast material. This is a long-term innovation commitment in a unique base of experience and expertise within an industrial network.

Expected long term effects

The result of the project is the basis for a strategic direction for designing research and innovation projects for the foundry industry: - Establishment of the general digital twin in an innovation ecosystem of computer creators, retailers and industrial end users. - Use of the digital twin for the properties of metals as a component in the development of digital twins for foundry industry, and other metal industry. - Development of digital twins for other materials, such as foundry sand and molds.

Approach and implementation

1) Analysis of existing data sources and data models. 2) Process scenario modeling for prioritizing and managing data collection for the digital twin. 3) Designing the data capture principle for the digital twin. 4) Development of the principle of foundry automation based on the digital twin. 5) Training and workshop for the foundry industry. 6) Designing the basis for future research and innovation projects in digital twins for foundry processes, material handling and sand molding.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 16 November 2018

Reference number 2018-04321

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