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AI-automated solution for in-situ inspection of additive manufacturing

Reference number
Coordinator Lunds universitet - Lunds Tekniska Högskola Inst f maskinvetenskaper
Funding from Vinnova SEK 254 690
Project duration November 2023 - October 2024
Status Completed
Venture AI - Competence, ability and application
Call Staff exchange for applied AI, automation and data sharing 2023

Important results from the project

The project reached the goal of developing solutions which enable the Artificial Intelligence (AI) applied to the efficiency of Additive Manufacturing. The developments became possible because of the collaboration between academical organisations via prolonged study visit. It established a fruitful environment where different experts from both AM and AI collaborated to develop new approaches that eventually will be published and presented on the conference.

Expected long term effects

Det långvariga personalutbytet mellan organisationerna gjorde det möjligt för grupper och individer att samarbeta inom Additiv tillverkning och Artificiell intelligens för att utveckla nya metoder som kan användas inom båda områdena. Den utvecklade kunskapen och de etablerade relationerna skapade en fruktbar grund för det framtida samarbetet mellan organisationerna inom gemensamma akademiska aktiviteter som projekt och publikationer. Två publikationer är planerade att färdigställas under 2025.

Approach and implementation

The project was designed to enable the nine weeks study visit between academical organisations. The study visit took place during the sixth month of the project which was one year long. The delay allowed to establish a communication between organisations and manage a formal agreements to enable a collaboration. During a study visit, the visiting researcher followed all routings of the hosting organisation to get needed experience and reach project goals during the exchange.

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

Last updated 2 December 2024

Reference number 2023-02587