Machine Learning for Friction Stir Welding Process: Case Studies Front Cover

Machine Learning for Friction Stir Welding Process: Case Studies

  • Length: 105 pages
  • Edition: 1
  • Publication Date: 2021-05-15
  • ISBN-10: B0952D2T8C
Description

The Machine Learning process is revolutionizing many sectors in engineering including manufacturing sectors such as the Friction Stir Welding Process. The implementation of machine learning algorithms in Friction Stir Welding process not only reduced the time of the experiment but also reduces the cost of the experiment. This book highlights the various application of machine learning algorithms in the Friction Stir Welding process such as prediction of the mechanical properties, detection of surface defects etc. The book is written in a simple language so that the readers will understand the concepts clearly while going through this book.TABLE OF CONTENTS1. Machine Learning in Friction Stir Welding2. Image Processing in Friction Stir Welding Process3. Supervised Machine Learning in Friction Stir Welding4. Discrete Wavelet Transformation in Friction Stir Welding Process5. Grain Size Distribution Analysis in Friction Stir Welding Process6. Prediction of the Mechanical Property of Friction Stir Welded Joint

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