LIBRARY ı6ıul 0) - Cranfield University
LIBRARY ı6ıul 0) - Cranfield University
LIBRARY ı6ıul 0) - Cranfield University
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Concerning the time when the sensor is used, three techniques can be<br />
identified [ref. 51,116]: a) pre-weld sensing, b) real-time sensing, c) post-weld<br />
sensing.<br />
In the literature, three main applications of sensors in robotic welding can be<br />
identified: a) joint location, b) joint tracking, c) joint recognition, d) weld recognition<br />
2.6.1.2 Joint location<br />
Joint location is defined as a form of adaptive control which recognizes, before<br />
welding, the position of the joint to be welded and instructs the machine to take the<br />
appropriate action [ref. 58].<br />
Many approaches for joint location have been reported [ref. 114]; the most<br />
common method is the wire touch sensing [refs. 117,118,119,120], in which the gas<br />
metal arc welding wire is used to search for the start point. In order to accomplish<br />
this, the robot is moved to its search start point and a high voltage, ranging from 300<br />
to 600 Vac, low current (; 30mA), signal is applied to the welding wire. The robot<br />
then moves according to a chosen search pattern, "probing" for each joint surface, in<br />
turn on up to three planes (see Figure 2.18). The surface is detected by loss of voltage<br />
as the welding wire earths on the component. Search times can be as short as three<br />
seconds per direction.<br />
Other joint location methods make use of ultrasonics (time of flight),<br />
proximity sensors (capacitive, inductive) and optical sensors [ref. 114]. Special<br />
attention has been given to optical sensors which are expected to give similar<br />
performance as the human eyes in the future [ref. 121]. One such example was<br />
presented by Cheung et al. [ref. 122] who have described a method of tracking an<br />
object by analysing its real-time laser rangefinder data. The method consisted of<br />
extracting three-dimensional lines and circles from edge points and then matching<br />
these extracted curves to the model of each object, hence obtaining their poses. The<br />
edge points were obtained from a pre-processing of each range image. Although the<br />
method presented by Cheung et al. [ref. 122] has been devised for tracking moving<br />
objects, it could be used off-line for locating welding joints and start points, before<br />
starting welding in a robotic welding cell.<br />
2.6.1.3 Joint tracking<br />
Joint tracking is also defined as a form of adaptive control which monitors<br />
changes in the location of the joint to be welded and instructs the welding machine to<br />
take the appropriate corrective action. The process is based on the signals provided by<br />
suitable sensors and can take place in a preliminary (off-line) scan or in real time [ref.<br />
58]. Off-line joint tracking, however, does not take into account the effects of thermal<br />
distortion during welding. Therefore, it is not suitable for solving problems related to<br />
on-line joint movement.<br />
Several joint tracking systems have been reported in the literature, the five<br />
main types of sensors being [ref. 114,123]:<br />
a) Electromechanical<br />
sensors;<br />
b) Inductive sensors;<br />
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