RQ-Fuzzy

With the RQ Fuzzy system the best possible monitoring of a friction welding unit can be achieved.  Through fuzzy pattern classification with unfocused envelope curves a production monitoring of the highest standard is guaranteed. This combined with the operator feature forms a monolithic system.

• Fully automated process monitoring. 
• Complete documentation with Logbook for complete retracing (product responsibility and quality control)

RQ-Fuzzy -
The new monitoring principle

Due to welding temperatures under melting point, short welding times and joints made under pressure, friction welding offers us the possibility to form high quality joints in materials and combinations thereof

The RQ-Fuzzy system offers us the possibility of maintaining this quality permanently documentation of each and every weld.

This system can be added as a separate monitoring system to a facility in use, or functionally integrated into a Harms und Wende friction welding unit.

The special fuzzy pattern monitoring offers exact readings.

The principle of fuzzy patterns

In The learning phase patterns are saved and from them a reference pattern is calculated. A characteristic feature of this system is the use of unfocused (fuzzy) reference patterns. This means that the reference pattern is shown as an unfocused envelope curve around the actual reference value that is taken from the statistical density of the learning pattern.

Picture 1. shows several learning patterns (blue) and from those the calculated reference pattern (red). If we calculate an unfocused envelope curve from that we receive the following picture.

The fuzzy pattern procedure uses an unfocused envelope curve as shown in picture No. 3.

Fuzzy monitoring results

When assessing the actual patterns in the monitoring phase, a value is given as to how the actual pattern fits the reference pattern.