Tungsten Inert Gas Welding Equipment Integration in Production: A Feasibility Study of Robotic Solutions
2024 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
This thesis project, titled "Tungsten Inert Gas Equipment Integration in Production," investigates the feasibility of implementing robotic solutions for TIG welding to advance industrial automation at Siemens Energy in Trollhättan through a framework composed of a structured approach that includes a detailed needs assessment, a thorough technology evaluation, and a practical validation through simulation to design and implement robotic TIG welding cells specifically tailored for large components.
Driven by a need to balance productivity and precision in welding processes, particularly for complex geometries, the study aims to provide practical insights for the internal implementation of TIG robotic welding.
The research included engaging with Siemens Energy workers to optimize hardware placement for better accessibility and workflow efficiency, and simulations in RobotStudio offered a practical visualization of the proposed robotic welding cell. Key hardware components were meticulously identified, optimal layouts designed, androbotic welding scenarios simulated.
The findings reveal significant advantages of robotic integration in TIG welding operations. Automating the welding of the inner liner proved to be a very promising idea, offering enhanced efficiency and precision. However, the automation of welding for more complex components, such as the outer cooler, presented greater challenges due to their intricate geometries and accessibility issues.
This work offers valuable recommendations for improving manufacturing processes within Siemens Energy and across various industries. It addresses the challenges and opportunities in robotic welding automation, presenting a solid foundation for future applications and developments in industrial automation.
The thesis contributes valuable knowledge to guide industrial applications towards improved operational performance and sustainable growth.
Place, publisher, year, edition, pages
2024. , p. 38
Keywords [en]
TIG Welding, Industrial Robots, Automation, Welding Processes
National Category
Robotics and automation Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hv:diva-22199Local ID: EXC915OAI: oai:DiVA.org:hv-22199DiVA, id: diva2:1887143
Subject / course
Robotics
Educational program
Master in robotics and automation
Supervisors
Examiners
2024-08-232024-08-072026-03-06Bibliographically approved