Year: 2025
Type: conference-paper
Abstract: A framework for integrating in-process quality inspection for laser welding applications is presented here. The proposed hardware and software architecture was developed in the context of the ZELD-e EIT-funded project and is able to deliver a fully working system for monitoring and quality assessment of laser welding applications, towards the quality improvement and rapid certification of the joints, paired with predictive/preventing control capabilities based on a long-term optimization schema through the utilization of Artificial Intelligence (AI) and Decision Support System technologies in the context of process energy optimization.
DOI: 10.63438/vaqo4171
Institutions: Irida Labs (Greece), University of Patras
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409544592