Noncontact Ultrasonic Sensing for Seam Tracking in Arc Welding Processes

Author:

Zhang S. B.1,Zhang Y. M.1,Kovacevic R.2

Affiliation:

1. Welding R&D Laboratory, Center for Robotics and Manufacturing Systems, University of Kentucky, Lexington, KY 40506

2. Southern Methodist University, Dallas, TX

Abstract

A novel seam tracking technology based on high frequency ultrasound is developed in order to achieve high accuracy in weld seam identification. The transmission efficiency of the ultrasound is critical for obtaining a sufficient echo amplitude. Since the transmission efficiency is determined by the difference in impedance between the piezoelectric ceramic and air, match layers are designed to optimize the transmission efficiency by matching impedance. Since the air impedance depends on the density and velocity of the ultrasound, which both depend on the temperature, the optimization has been done for a wide bandwidth. Also, the receiving circuit is designed so that its resonance frequency matches the frequency of the ultrasound. As a result, the sensitivity of the noncontact ultrasonic sensor is improved 80-fold. By properly designing the focal length of the transducer, a high resolution ultrasound beam, 0.5 mm in diameter, is achieved. Based on the proposed sensing technology, a noncontact seam tracking system has been developed. Applications of the developed system in gas tungsten arc welding (GTAW) and CO2 gas metal arc welding (GMAW) processes show that a tracking accuracy of 0.5 mm is guaranteed despite the arc light, spatter, high temperature, joint configuration, small gap, etc.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference17 articles.

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2. Umeagkwu C. , and MaqueiraB., 1989, “Robotic Acoustic Seam Tracking: System Development and Application,” IEEE Transaction on Industrial Electronics, Vol. 36, No. 3, pp. 338–348.

3. Cullison A. , and IrvingB., 1992, “Where in the World Is the WELD?” Welding Journal, Vol. 71, No. 8, pp. 45–49.

4. Hanright J. , 1986, “Robotic Arc Welding under Adaptive Control—A Survey of Current Technology,” Welding Journal, Vol. 65, No. 11, pp. 19–24.

5. Agapakis J. E. , and KatzJ. M., 1986, “Joint Tracking and Adaptive Robotic Welding Using Vision Sensing of the Weld Joint Geometry,” Welding Journal, Vol. 65, No. 11, pp. 33–41.

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