CE Certification of Robot Welding Cell- Case Study of UiS Robot Welding cell

Abstract

The continuous advancements in robot welding technology necessitate a reevaluation of safety considerations and their impact on achieving CE marking compliance. This thesis investigates this critical interplay between technological innovation, safety implications, and the CE marking process for robot welding cells.

The research explores how current trends in automation, sensor integration, and human-robot collaboration are influencing safety risks within these cells. It analyzes the relevant standards and regulations outlined in the EU Machinery Directive and highlights the importance of conducting a comprehensive risk assessment to identify and mitigate potential hazards.

The core of the thesis presents a detailed case study of the UIS Robot Welding Cell, encompassing its application, system architecture, programming methods (lead-through and offline), and the comprehensive CE certification process. The analysis includes insights into risk assessment, documentation challenges, and mitigation strategies, alongside a critical evaluation of the certification's outcomes and industry implications.

The thesis presents an example of robot weld programming for fillet welds, demonstrating both offline programming with Robot Studio and lead-through teaching methods. Additionally, a study of a cobot system during the site visit at Kverneland, a manufacturer of agricultural machinery, is included to explore the use of cobots for training purposes and their potential applications in university research settings.

Through a critical review of the literature and analysis of findings, the thesis concludes that while technological advancements offer opportunities for enhanced efficiency and productivity, they also introduce new safety challenges. It emphasizes the importance of integrating safety considerations throughout the design, operation, and regulatory compliance processes for robot welding cells. Finally, the thesis proposes potential areas for future research, including exploring the safety implications of emerging technologies like AI in welding and developing standardized risk assessment procedures specifically tailored for cobot integration.

By promoting a safety-conscious approach to robot welding technology, this thesis aims to contribute to the safe and sustainable evolution of this critical manufacturing automation technology.