Why does EUTECT rely on control technology when designing the various soldering modules and kinematics?

A process can only really be controlled if the technology knows how the process will behave at the soldered joint during a soldering process. At EUTECT, innovative and globally unique technologies such as the EUTECT wire feeder SWF The data is collected by various sensors and pyrometers. This data is read out in real time, processed and executed in time in the soldering process using EUTECT control technology.

The EUTECT laser soldering process, for example, works in a completely closed control loop. Thanks to the force- and displacement-controlled wire feed in combination with a pyrometer reflected coaxially through the laser optics and a camera for process visualisation, the user knows exactly what is happening during the soldering process and the system can readjust various parameters independently.

But it is not only the laser soldering process that can react to process changes. The EUTECT mini wave soldering modules IW 1 and IW1-2 are also equipped with a wide variety of control components. Starting with a redundantly monitored solder bath temperature combined with product-specific heating algorithms, through automatic solder bath level control, to laser solder wave height control, which constantly detects the height of the solder wave and adjusts it via the induction pump if necessary.

The controlled processes are not only used in the soldering process but also in kinematics, for example. In thermode or Laser Knifeprocess ensures a µ-precise, force- and travel-controlled insertion path of the process head.

Based on the EUTECT SoFa software, our controlled processes offer a range of benefits such as higher solder joint quality, improved efficiency and a lower reject rate. They are also important for the automation of production processes and the integration of machines in networked production environments (Industry 4.0).

EUTECT control technology can be summarised in the following individual steps:

• Acquisition of process data: The machine records the process data that is relevant for controlling the process, e.g. speed, temperature, force, distance, etc.
• Control of the process: The control technology uses the recorded data to control and optimise the process. The aim is to improve production quality and efficiency.
• Monitoring and adjustment: The machine continuously monitors the process and adjusts the control system to compensate for fluctuations or changes in the process. Error detection systems can also be used to recognise and correct deviations from the target value.
• Data evaluation and optimisation: The recorded process data is evaluated in order to optimise process performance. Statistical methods such as process capability analyses (PPAP) can also be used to improve product quality.