2009 IEEE International Ultrasonics Symposium 2009
DOI: 10.1109/ultsym.2009.5441876
|View full text |Cite
|
Sign up to set email alerts
|

Enhancing real-time ultrasound signatures of molten nugget growth for quality evaluation of resistance spot welds

Abstract: This paper presents an effective means of enhancing weak acoustic reflections in real-time ultrasound signatures of a spot weld, by analyzing the propagation of acoustic waves through the electrodes and heated weld region. A new method of processing the ultrasound data is presented that removes undesired acoustical reflections in the electrode cap and enhances weak reflections at the solid-liquid interface. To facilitate this, frequency and amplitude attenuation resulting from the weld medium and acoustical in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2017
2017

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 4 publications
0
1
0
Order By: Relevance
“…Some research work [19,20] employed multiple signals for real-time evaluation of welding quality. Technologies, such as infrared thermography technology [5], sonic emission technology [21] and ultrasound signal technology [22], were also employed to perform non-destructive quality monitoring. Most of the existing nondestructive methods indirectly evaluate the quality of the spot welds based on the monitored data when the joint was not loaded.…”
Section: Introductionmentioning
confidence: 99%
“…Some research work [19,20] employed multiple signals for real-time evaluation of welding quality. Technologies, such as infrared thermography technology [5], sonic emission technology [21] and ultrasound signal technology [22], were also employed to perform non-destructive quality monitoring. Most of the existing nondestructive methods indirectly evaluate the quality of the spot welds based on the monitored data when the joint was not loaded.…”
Section: Introductionmentioning
confidence: 99%