Transactions on Intelligent Welding Manufacturing. Volume IV No. 1 2020/Система управления сварочными процессами. Том IV № 1

Книга на английском языке.
The book is a collection of articles based on high-quality research presented at international conferences on robotic welding and intelligent manufacturing. It examines modern methods and technologies such as machine learning for monitoring welding processes, as well as intelligent approaches to K-TIG welding. The authors share their research on automatic defect detection, analysis of molten metal during welding, and the use of deep learning systems to detect defects in plywood. The book highlights significant achievements in the field of intelligent welding and offers new ideas for further research and development.

Contents
Feature Articles
Defect Detection and Process Monitoring for Wire Arc Additive Manufacturing Using Machine Learning
Haochen Mu, Zhonghao Chen, Fengyang He, Yuxing Li, Chunyang Xia, Philip Commins, and Zengxi Pan
Research Evolution on Intelligentized K-TIG Welding
Yanxin Cui and Yonghua Shi
Research Papers
Segmentation-Based Automatic Recognition for Weld Defect in Radiographic Testing Image
Ming Zhu, Xiaohua Chen, Hulong Zhang, Yu Shi, and Ding Fan
MLD Classification Model of Visual Features of Multi-layer and Multi-pass Molten Pool During Robotic MAG Welding of Medium-Thick Steel Plates
Hao Zhou, Yinshui He, Huabin Chen, and Shanben Chen
Deep Learning Based Robot Detection and Grinding System for Veneer Defects
Xuewu Wang, Zhongwang Zhang, and Huafeng Liu
Author Index