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A robust welding seam identification method

conference contribution
posted on 20.10.2020, 00:00 by X Li, X He, Mohammad Khyam, SS Ge
As an automatic welding process may experience some disturbances caused by, e.g., splashes and/or welding fumes, misalignments/poor positioning, thermally induced deformations, strong arc lights, diversified welding joints/grooves, etc., precisely identifying the welding seam has an great influence on the welding quality achieved. In this paper, a robust method for identifying this seam is proposed. Firstly, after a welding image obtained from a/the structured-light vision sensor is filtered, in a sufficiently small area, the extended Kalman filter (EKF) is used to search for the/its laser stripe in order to prevent possible disturbances. Secondly, to realize the extraction of the profile of welding seam, the least square method is used to fit a sequence of centroids determined by the scanning result of columns displayed on the tracking window. Thirdly, this profile is then qualitatively described and matched using a proposed character string method. Finally, the advantages of this method are compared with those of other approaches through repeated experiments.

History

Start Page

787

End Page

792

Number of Pages

6

Start Date

18/07/2018

Finish Date

20/02/2018

ISBN-13

9781538670668

Location

Singapore

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Southeast University Nanjing, China; The National University of Singapore

Era Eligible

Yes

Name of Conference

3rd International Conference on Advanced Robotics and Mechatronics (ICARM 2018)