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  • 标题:Nondestructive Online Detection of Welding Defects in Track Crane Boom Using Acoustic Emission Technique
  • 本地全文:下载
  • 作者:Yong Tao ; Wei Wang ; Baishu Sun
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/505464
  • 出版社:Sage Publications Ltd.
  • 摘要:Nondestructive detection of structural component of track crane is a difficult and costly problem. In the present study, acoustic emission (AE) was used to detect two kinds of typical welding defects, that is, welding porosity and incomplete penetration, in the truck crane boom. Firstly, a subsidiary test specimen with special preset welding defect was designed and added on the boom surface with the aid of steel plates to get the synchronous deformation of the main boom. Then, the AE feature information of the welding defect could be got without influencing normal operation of equipment. As a result, the rudimentary location analysis can be attained using the linear location method and the two kinds of welding defects can be distinguished clearly using AE characteristic parameters such as amplitude and centroid frequency. Also, through the comparison of two loading processes, we concluded that the signal produced during the first loading process was mainly caused by plastic deformation damage and during the second loading process the stress release and structure friction between sections in welding area are the main acoustic emission sources. Thus, the AE is an available tool for nondestructive online detection of latent welding defects of structural component of track crane.
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