Miha Kenda (Avtor), Damjan Klobčar (Avtor), Drago Bračun (Avtor)

Povzetek

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

Ključne besede

dvo-žarkovno lasersko varjenje;degradacija;vzdrževanje na osnovi stanja sistema;nadzor;ekspertno znanje;two-beam laser welding;deterioration;condition-based maintenance;monitoring;expert knowledge;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 621.791.72(045)
COBISS: 52913667 Povezava se bo odprla v novem oknu
ISSN: 0278-6125
Št. ogledov: 48
Št. prenosov: 21
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: dvožarkovno lasersko varjenje;degradacija;vzdrževanje na osnovi stanja sistema;nadzor;ekspertno znanje;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 117-126
Zvezek: ǂVol. ǂ59
Čas izdaje: Apr. 2021
DOI: 10.1016/j.jmsy.2021.02.007
ID: 15964558