Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning
Dissertationsschrift
- 151 pages
- 6 hours of reading
The book explores the application of machine learning techniques to enhance the surface quality of friction stir welds. It delves into various monitoring methods and optimization strategies, emphasizing the integration of advanced data analysis to improve welding processes. By examining case studies and practical implementations, the text provides insights into how machine learning can effectively predict and mitigate surface defects, ultimately leading to superior weld performance and reliability in manufacturing.
