![]() So the welding current, voltage and speed can be used as a controllable variable of arc welding process, and contain a variety of rich information of the arc physical phenomena, the stability of the welding process and feature information related to welding quality. The welding process is a complex physical process, the arc energy parameters such as welding current, voltage and welding speed determine the instantaneous energy inputting to weld seam, which directly impact on the quality of weld shape. Experimental results are provided to confirm the effectiveness of this approach to extract the arc physical information related to welding quality. ![]() ![]() The improved HHT combining with energy entropy can quantitatively describe the time–frequency energy distribution characteristics of the arc current signal at different duty cycle, frequency and welding speed. The method for removing the high frequency and undesirable low-frequency IMFs is proposed by using the correlation coefficient of the IMF and the original signal as criterion, and the valid IMFs are selected for the Hilbert transform and energy entropy calculation. The empirical mode decomposition (EMD) is used to decompose the collected current signal into a number of Intrinsic Mode Functions (IMFs). ![]() In order to extract the arc feature information related to welding quality in alternating current square wave submerged arc welding (AC Square Wave SAW), an improved Hilbert–Huang transform (HHT) is put forward to investigate the time–frequency distribution of arc current, and the energy entropy is employed to quantitatively judge the arc characteristics. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |