Key Technologies of Intelligentized Welding Manufacturing: Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process

Zongyao Chen, Zhili Feng, Jian Chen

Research output: Book/ReportBookpeer-review

Abstract

This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing.

Original languageEnglish
PublisherSpringer Singapore
Number of pages95
ISBN (Electronic)9789811564918
ISBN (Print)9789811564901
DOIs
StatePublished - Jan 1 2020

Keywords

  • Adaptive Control
  • Digital Image Correlation
  • Feature Extraction
  • Intelligent Welding
  • Lack of Fusion Detection
  • Machine Learning
  • Optical Sensing
  • Predictive Model
  • Robotic Welding
  • Strain Measurement
  • Welding Penetration Monitoring
  • Welding Quality Control

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