Condition based maintenance of the two-beam laser welding in high volume manufacturing of piezoelectric pressure sensor

Two-beam laser welding (TBLW) is an advanced process for precise, low distortion joining of cylindrical miniature parts. The composed a source, optics and various actuators, which form sophisticated system control maintenance in high volume manufacturing. A well-established method identifying defects ensuring quality the monitoring plasma light emission TBLW. Although such systems can detect change status, they are not able to diagnose nature fault. main challenge this research was extend use quality-based measure additional deterioration-related parameters estimate deterioration from them by using expert knowledge. This paper shows novel condition-based (CBM) TBLW system, performs condition identification online combination with offline inspection seam macrographs. derived macrographs defective parts used identify deterioration, as contamination optics, misalignment optomechanical or reduced power. information obtained make predefined adjustments based on domain implementation developed CBM manufacturing piezoelectric pressure sensors resulted more predictable reducing failures well shorter diagnosis times.