Kent Salomonsson

The AI-CAST project aims to develop new methods for using artificial intelligence to monitor and optimise high-pressure die casting of magnesium alloys in real time. The goal is to create a more reliable and sustainable manufacturing process through smart data analysis and machine learning.

The AI-DELSA project is developing a new method where AI controls laser beams to create stronger and more durable metal surfaces. By replacing energy-intensive heat treatments with a fast and environmentally friendly laser process, the vehicle components of the future can become lighter, stronger, and more sustainable.

The project will study and optimize joining processes for different stages of battery manufacturing, from battery cells to battery packs.

The manufacturing industry worldwide has great demands on itself to create sustainable products and reduce its environmental impact, demands that force the industry to move its production from traditional methods to new efficient processes. For six years, the QWELD project will develop methods for quality assurance and optimization of laser and ultrasonically welded components.

The automotive industry is in the middle of a technology shift towards electric powertrains. The change in technology requires building up the knowledge base of the entire value chain within the industry. In the long term, the goal is to establish long-term production of electric drivelines in the region with many years of secured employment in the automotive industry and its supply chain.

The automotive industry is undergoing a technological shift towards electric powertrains. One of the greatest challenges to remaining competitive during this rapid transition is the ability to cost-effectively adapt existing production to manufacture new powertrains.