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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.
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Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning, Roman Hartl
- Idioma
- Publicado en
- 2022
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- Título
- Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning
- Subtítulo
- Dissertationsschrift
- Idioma
- Inglés
- Autores
- Roman Hartl
- Editorial
- utzverlag GmbH
- Publicado en
- 2022
- Formato
- Tapa blanda
- Páginas
- 151
- ISBN13
- 9783831649495
- Serie
- Etiquetas
- No ficción, Tecnología & Ingeniería
- Descripción
- 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.