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Developing an Offline program for a weld path of a CAD model for a Friction Stir Welding robot: Feedback control system to reduce defects in material flow
University West, Department of Engineering Science.
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This study aimed to make a specific type of welding, called Friction Stir Welding (FSW), better when welding along curved paths using offline programming. The goal was to reduce two common problems: metal ejection and flashing. Welding along curves might become difficult due to friction, overheating, and down-pressure can cause these issues. The study wanted to find ways to make the welding process smoother and prevent these problems along the curve. To tackle this challenge, the study tried different methods by changing theparameters such as welding speed, tool speed, and force applied. The goal was to find the best combination of settings to reduce metal ejection and flashing.The experiments showed that making some changes to the welding parameter by monitoring the changing path in feedback. By adjusting the force and speed at specific points, the welding process becomes better and good quality. This meant the metal stayed in place and didn't fly out as much. However, the study also found that changing one thing could sometimes cause other problems. For example, adjusting the force could make the robot less stable. So, finding the right balance was important.In the future, using sensors and smart computer programs could help make welding along curves even better. These technologies can keep an eye on the welding process and make quick adjustments to prevent problems. In conclusion, this study worked on making curved welding better by changing welding parameter settings. It found that small changes can make a big difference in reducing metal ejection and flashing. The study also showed that new technologies could make curved welding even smoother and more reliable in the future.

Place, publisher, year, edition, pages
2023. , p. 42
Keywords [en]
FSW, P2P, Offline programming, Online programming, CAD
National Category
Robotics
Identifiers
URN: urn:nbn:se:hv:diva-20807Local ID: EXC915OAI: oai:DiVA.org:hv-20807DiVA, id: diva2:1800542
Subject / course
Robotics
Educational program
Master i robotik och automation
Supervisors
Examiners
Available from: 2023-10-04 Created: 2023-09-27 Last updated: 2023-10-04Bibliographically approved

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