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Toward AI-enabled surface integrity control in machining of critical aerospace and medical components

Reference number
Coordinator Lunds universitet - Lunds Tekniska Högskola Inst f maskinvetenskaper
Funding from Vinnova SEK 150 000
Project duration January 2026 - April 2026
Status Completed
Venture Advanced digitalization - Industrial needs-driven innovation
Call Collaborations with the US in AI, digital infrastructure and cyber security

Important results from the project

During the project, we discovered that we had strong common ground with our American partners in manufacturing research, education and AI. The overlap was greater than expected, indicating a real potential for deeper collaboration that extends beyond the current Vinnova call for proposals. This will characterize phase 2, which focuses on AI and manufacturing for the aerospace industry, and has created a lasting framework for cooperation between Sweden and the US.

Expected long term effects

During the project we discovered strong common ground with our US partners in manufacturing research, education, and AI. The overlap was broader than expected, showing real potential for deeper collaboration beyond the current Vinnova call. This will shape Stage 2, focused on AI and manufacturing for aerospace, and has built a lasting Sweden–US framework.

Approach and implementation

The project enabled Sweden–US collaboration through a trip to the US, including visits to universities and attendance at the NVIDIA GTC conference in San Jose, CA. by this, it broaden our perspective on AI usage across sectors, with a particular focus on manufacturing and industrial production.

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

Last updated 1 May 2026

Reference number 2025-04728