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Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning

Dissertationsschrift

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  • 151 stránok
  • 6 hodin čítania

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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

Jazyk
Rok vydania
2022
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Titul
Monitoring and Optimizing the Surface Quality of Friction Stir Welds Using Machine Learning
Podtitul
Dissertationsschrift
Jazyk
anglicky
Vydavateľ
utzverlag GmbH
Rok vydania
2022
Väzba
mäkká
Počet strán
151
ISBN13
9783831649495
Série
Anotácia
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.