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 visualization, the user knows exactly what is happening during the soldering process and the system can independently readjust various parameters.
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.
Regulated processes are applied in both soldering and kinematics. The thermode or laser knife process ensures a sinking path of the process head that is µ-precise and controlled for force and distance.
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 acquires the process data relevant to process control, such as speed, temperature, force, distance, etc.
- Process control: The control technology uses the acquired data to control and optimize the process. The goal is to improve production quality and efficiency.
- Monitoring and adjustment: The machine continuously monitors the process and adjusts the control to compensate for fluctuations or changes in the process. Error detection systems can also be used to detect and correct deviations from the setpoint.
- Data analysis and optimization: The acquired process data is analyzed to optimize process performance. Statistical methods such as Process Performance Analysis (PPAP) can also be used to improve product quality.