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Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning
Dissertationsschrift
Autoři
Více o knize
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.
Nákup knihy
Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning, Roman Hartl
- Jazyk
- Rok vydání
- 2022
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning
- Podtitul
- Dissertationsschrift
- Jazyk
- anglicky
- Autoři
- Roman Hartl
- Vydavatel
- Utz Verlag
- Rok vydání
- 2022
- Vazba
- měkká
- Počet stran
- 151
- ISBN13
- 9783831649495
- Kategorie
- Technika / Strojírenství
- Anotace
- 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.