A passive imaging system for geometry measurement for the plasma arc welding process

Date published

2017-03-22

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Volume Title

Publisher

Institute of Electrical and Electronics Engineers

Department

Type

Article

ISSN

0278-0046

Format

Citation

Tomas Font comas, Chenglei Diao, Jialuo Ding, Stewart Williams and Yifan Zhao. A passive imaging system for geometry measurement for the plasma arc welding process. IEEE Transactions on Industrial Electronics, Vol. 64, Issue 9, pp. 7201-7209

Abstract

Automatic and flexible geometry measurement of the weld pool surface can help better understand the complex welding processes and even provide feedback to better control this process. Most of existing imaging systems use an additional source of illumination to remove the light interference coming from the welding arc but it is usually costly. This paper introduces a novel low-cost optical-sensor-based monitoring system working under passive mode to monitor the wire + arc additive manufacture (WAAM) process, particularly for plasma arc welding. Initially, configurations and parameters of camera are investigated to achieve good visualisation of weld pool. A novel camera calibration methodology using the nozzle of a CNC machine is then proposed for this imaging system allowing estimation of the camera position with respect to the inspecting surface and its orientation in an easy-to-use approach. The verification tests show that the average error of the calibration is less than 1 pixel. As a case study, an image analysis routine is proposed to measure the width of the bead during the welding process. The results show that the proposed system is effective to measure the dimension of weld pool.

Description

Software Description

Software Language

Github

Keywords

Edge Detection, Additive Manufacturing, WAAM, PAW, Camera Calibration

DOI

Rights

Attribution 3.0 International

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