Welding is a complex process, is increasingly automated, and operates at higher speeds in more difficult environments. Defects also need to be detected as they arise to ensure efficient, high-quality production. All these needs have led to a growing interest in the use of sensors to provide accurate, robust, real-time monitoring where this cannot be achieved by more traditional testing and inspection techniques. This important book reviews the range of monitoring techniques available and their applications.After an introductory chapter, the first part of the book reviews the range of sensor technologies in welding, from arc and optical sensors to infrared and ultrasonic techniques. Part two discusses the monitoring of particular aspects of welding such as weld seams and profiles, the analysis of weld penetration and weld pool surface, as well as monitoring of resistance and laser welding.With its distinguished editor and international team of contributors, Real-time weld process monitoring is a valuable reference to all those concerned with improving the quality of welding and welded components.
Reviews the range of monitoring techniques available
Examines the range of sensor technologies in welding from arc and optical sensors to infrared and ultrasonic techniques
Discusses the monitoring of specific aspects of welding such as weld seams, resistance and laser welding
Welders; Academics and students in this field; Electrical engineers
Table of Contents
An analysis of welding process monitoring and control. Part 1 Monitoring technologies: Arc sensors in weld monitoring; Optical sensors in welding; Infrared sensors in welding; Ultrasonic sensors in welding. Part 2 Monitoring of welding processes; Weld seam monitoring; Weld profile monitoring; Weld penetration monitoring; Weld pool surface monitoring; Monitoring resistance welding; Monitoring laser welding.
Yi Ming Zhang is James R Boyd Professor of Electrical Engineering at the University of Kentucky. Professor Zhang is internationally-known for his research in machine vision and control systems and their application in such areas as robotic welding.