English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

During the robotic arc welding process, not only the images taken are often unclear, but also the features are not obvious due to the interference of arc, splash and smoke. Therefore, it is necessary to carefully develop the image process algorithm for the image processing to complete the weld inspection. In this study, the robotic GMA (Gas Metal Arc) welding has been applied to bead-on-plate welding with vertical position. The images with different offsets were obtained based on infrared camera through experiments which might be obtained, and a set of image processing algorithms was designed to detect the geometrical bead images according to the different offsets. In image processing procedure, the first step is to perform the pre-processing to improve the contrast of the image. Then, the edge of the image is detected by the canny operator. Finally, the centre curve equation to predict the bead geometry is obtained by the least square method as well as the angle size is obtained according to the slope of the equation. The bead geometry obtained by the image processing is compared with the bead geometry obtained from the experiment in order to verify the feasibility of the developed algorithm. The experimental results are clear that the error is small so that the developed algorithm can be employed in actual GMA welding process with robot.

A Study on the Bead Geometry with Offset based Image Processing Algorithm