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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 />

31

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