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| Funder | Vinnova |
|---|---|
| Recipient Organization | Interspectral Ab |
| Country | Sweden |
| Start Date | Jan 01, 2023 |
| End Date | Jun 30, 2024 |
| Duration | 546 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2022-03016_Vinnova |
Purpose and goal: ** Denna text är maskinöversatt **
Additive manufacturing (AM), which is more commonly referred to as "3D printing", is revolutionizing the way industry develops, manufactures and repairs its products. In "AM Intelligence”" we have addressed one of the most important challenges in AM, quality assurance. We have developed an automated defect detection platform that can be used for quality assurance in metal AM.
Using AI, defects in a manufactured component can be automatically located and classified, users can then analyze the results presented in a powerful visualization tool. Expected results and effects: ** Denna text är maskinöversatt **
Within the framework of AM Explorer, we have achieved three important results: 1) a technical demonstrator (TRL 7), 2) new knowledge in AI and automatic defect detection, and 3) a new product. The results have been evaluated in industrial production environments, where users have already started to save significant time in quality assurance work. We estimate that the costs of quality assurance can be reduced by up to 75%.
Approach and implementation: ** Denna text är maskinöversatt **
The project has been carried out in collaboration between AM FoU-företaget AMEXCI and the visualization and analysis company Interspectral. The project has been implemented in a number of different work packages which together form a platform.
Interspectral Ab
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