Evaluation of Weld Bead Mechanical Properties Using Image Processing during Destructive Testing by Multivision Technique

Abstract

Pulsed Gas metal arc welding (P-GMAW) is usually used fabrication course in industries. By melting constantly fed current-carrying wire P-GMAW achieves combination of metals. P-GMAW needs consistent, high- quality welding procedures, to obtain good quality of weld and productivity. This need is due to continuous control metal transfer that is necessary in P-GMAW for thin metal work pieces. This paper explores how image processing could be useful in evaluation of mechanical properties by destructive testing of MS ASTM A 106 B grade material weld bead. Image features like height and area of weld bead have been extracted for different loading conditions using image processing by multivision technique. The vision technique plays a substantial role in quality inspection and process monitoring in the industries. This technology enhances the edge recognition, pixel processing in a reliable manner. The quality and productivity of the weld bead are consistently accomplished during fabrication process in the industries. The weld bead images taken during tensile testing on MS ASTM A 106 material are analysed by considering region of interest in the weld bead. From the study it is found that multivision is capable to quantify the parameters associated with soundness and performance of welded joints and the established trend using image processing features is correlating well with traditional measurement. Considering the results gained the fabrication process can be used in advanced processing industries.