Page 113 - Welding Robots Technology, System Issues, and Applications
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                                                                     Sensors for Welding Robots

                           for most cases, control measures should be taken within 5 mm weld, which usually
                           is in the order of 0.5 s. It should also be noted that a process disturbance in real
                           welding  usually comes gradually and in such cases,  it is important for the
                           monitoring system to detect this and make a  smooth  adjustment of the  weld
                           parameters.

                           From a practical point of view there are many reasons to customize and tune the
                           control of the process.  In  most cases,  any changes that  may affect the quality
                           gradually increase, like a change in the gap. If the change is abrupt, we might not
                           be able to compensate for quality by control actions but have to stop the process.
                           However, in such cases, we can accept waiting for some time with the decision
                           from the  monitoring system. This indicates that it is a  matter of compromise
                           between measured and detected irregularities on the one hand and resulting faults
                           as defined in  the  WPS  on the other,  including trade-offs between quality and
                           productivity. Unwanted stops during a weld may introduce quality concerns as well
                           as decrease productivity.

                           Thus, the use of monitoring techniques should be an integrated part of the robot
                           welding system including the definition of Welding Procedure Specifications. The
                           algorithms used to monitor the process will depend on the process and what critical
                           fault to detect. Another issue is the sensitivity to errors, which must be handled
                           with an in-depth understanding of the purpose of the monitoring system and what
                           is does.




                           3.9 Monitoring System Development – An Example

                           Some examples from experiments will be described here to show the benefits in
                           quality control of the welding  operation  performed by the robot [1]. For this
                           purpose, it is important to apply a method that is fast and robust with respect to
                           detection time and number of false alarms. The setting of these parameters should,
                           for each case, be possible to adapt according to the requirements as there is
                           generally a trade-off between quality vs productivity.

                           3.9.1 Short-circuiting GMAW

                           In order to produce weld joints of uniform weld quality, it is desirable that the weld
                           process is stable. Experiments have shown that in the short-circuit mode, optimal
                           process stability occurs  when the short-circuit frequency equals the oscillation
                           frequency  of the  weld  pool. Optimal process stability can also be described to
                           have:

                                  x   A maximum short-circuit rate (Number/s)
                                  x   A minimum  standard deviation of the short-circuit rate
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