18.06.2013 Views

LIBRARY ı6ıul 0) - Cranfield University

LIBRARY ı6ıul 0) - Cranfield University

LIBRARY ı6ıul 0) - Cranfield University

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Philpott [ref. 21] developed an on-line quality monitoring system which was<br />

able to detect quality problems caused by either insufficient shielding or arc instability<br />

in dip transfer gas metal arc welding. The system was based on the fact that the<br />

transient voltage and current signals and certain radio frequency (RF) components of<br />

these signals present specific signatures, that correspond to the occurrence of<br />

instability caused by inadequate voltage and by insufficient shielding. By considering<br />

that a quality problem is very likely to occur when such instabilities happen, the<br />

system was designed to label the length of weld corresponding to the block of data<br />

that was analysed, as either conform or non-conform, depending on the level of<br />

instability present. At the end of each weld, an estimate of the percentage of the total<br />

weld length corresponding to non-conform quality was calculated and compared to a<br />

specified limit, above which the weld was rejected. The indication of inadequate<br />

shielding was used to command a gas nozzle cleaning operation, before starting a new<br />

welding cycle. Although effective, this system could not prevent quality deviations<br />

from happening.<br />

It is well established that welding process stability is intimately related to the<br />

resulting weld quality. By considering this, Norrish and Ogunbiyi [ref. 54] proposed a<br />

strategy for monitoring and controlling GMA welding by means of off-line procedure<br />

optimisation and on-line tuning of welding parameters. The off-line optimisation<br />

would take place before the beginning of production and would select optimum<br />

welding parameters that would produce a weld to the required specification. The<br />

control strategy was anticipatory in nature and its main purpose was to detect any<br />

quality deviation trend and correct it before it could cause weld rejection, by tuning<br />

the welding parameters accordingly. The control strategy (shown in Figure 2.9) was<br />

applied successfully in a prototype control system in a production environment [ref.<br />

56].<br />

2.2 Robotic arc welding<br />

Robotic arc welding is a self-explanatory term that is normally used for<br />

characterising the application of a robot for carrying an arc welding gun through a<br />

three-dimensional pre-programmed path in order to perform an arc welding operation<br />

without operator control [ref. 58]. A robotic welding system basically consists of a<br />

welding robot, an integrated welding power source and auxiliary equipment such as<br />

positioning table, gas nozzle cleaning station, wire cutter and torch head change<br />

systems.<br />

This section gives an overview on the basic components found in robotic arc<br />

welding.<br />

2.2.1 The arc welding robot<br />

An arc welding robot is basically an industrial robot adapted to perform arc<br />

welding. According to the British Robot Association<br />

An industrial robot is a reprogrammable device designed to both<br />

manipulate and transport parts, tools or specialised manufacturing<br />

14

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!