A vision-based penetration controller for application to varying root thickness
Conference
·
OSTI ID:115468
A penetration control system for autogenous gas tungsten arc welding (GTAW) has been investigated which has been shown to control root penetration in 304 stainless steel over a thickness range of 0.040 in. (1mm) to 0.125 in. (3 mm). A video system and computer vision processing are used to sense the width of the gas tungsten arc (GTA) weld pool. Variation in thickness of the joint root is a very common problem in many practical applications where weld joints are prepared on cast metal components. The control method here uses a relationship between current and pool width to estimate the thickness of the plate from a model. That is, a certain weld pool width and current indicate a particular thickness of material. A relatively high current and a relatively small width indicate thick material, and a relatively low current and large width indicate thin material. A theoretical heat flow model for thin plate has been utilized to investigate this dependence numerically. The basic idea is that if a relatively high current is required to produce a relatively small width, then a suitably larger width set point is utilized for purposes of feedback control than if the opposite occurs. The details of the fuzzy control and the results of experiments are described.
- OSTI ID:
- 115468
- Report Number(s):
- CONF-9404233--
- Country of Publication:
- United States
- Language:
- English
Similar Records
Investigation of factors controlling GTA weld bead geometry
Separately excited resonance phenomenon of the weld pool and its application
Vision-based weld pool width control
Conference
·
Wed Dec 31 23:00:00 EST 1980
·
OSTI ID:5534119
Separately excited resonance phenomenon of the weld pool and its application
Journal Article
·
Wed Sep 01 00:00:00 EDT 1993
· Welding Journal (Miami); (United States)
·
OSTI ID:5990655
Vision-based weld pool width control
Journal Article
·
Mon Jan 31 23:00:00 EST 1994
· Journal of Engineering for Industry; (United States)
·
OSTI ID:7303440