DocumentCode :
2974071
Title :
Quality assessment of aluminum alloy resistance spot welding based on wavelet and statistic analysis
Author :
Pan, Cunhai ; Zhao, Peng ; Du, Sumei ; Wang, Jingkai
Author_Institution :
Coll. of Mech. Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1438
Lastpage :
1442
Abstract :
The quality real-time monitoring of aluminium alloy resistance spot welding is realized by distributed multiple-sensor synchronous collection system. Displacement signal time-frequency domain wavelet analysis and further Butterworth band-pass filter statistic analysis show that the range of the electrode displacement signal of the expulsion welding spots can reach about 0.5 mm, which far exceeds the normal and undersize welding spots, between 40 to 80 Hz. And the electrode displacement original signal statistic range of the undersize welding spots is lower about 1.0 mm than other two kinds of welding spots, therefore using the explicit characteristic information can implement resistance spot welding quality assessment manually and further also can finish quality judgment by machine for the high signal-to-noise displacement signal and the briefly easy characteristic extracting method. Moreover, the statistic analysis of 197 samples indicates that the percentage of accuracy can reach 97.6% at the acceptable weld zone. This study has built a theoretical basis for further hardware designing and controlling the quality of aluminium alloy resistance spot welding.
Keywords :
acoustic signal processing; aluminium alloys; condition monitoring; distributed sensors; quality control; spot welding; statistical analysis; time-frequency analysis; aluminum alloy; distributed multiple sensor; expulsion welding spots; quality assessment; real time monitoring; resistance spot welding; signal-to-noise displacement signal; statistic analysis; time-frequency domain analysis; wavelet analysis; Aluminum alloys; Electrodes; Information analysis; Quality assessment; Real time systems; Signal analysis; Spot welding; Statistical analysis; Statistical distributions; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
Type :
conf
DOI :
10.1109/ICINFA.2009.5205142
Filename :
5205142
Link To Document :
بازگشت