Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
Condition based maintenance of the two-beam laser welding in high volume manufacturing of piezoelectric pressure sensor
ID
Kenda, Miha
(
Avtor
),
ID
Klobčar, Damjan
(
Avtor
),
ID
Bračun, Drago
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(5,79 MB)
MD5: 636E867DE07999ECC7F382458F9E93C8
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S0278612521000352
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
two-beam laser welding
,
deterioration
,
condition-based maintenance
,
monitoring
,
expert knowledge
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FS - Fakulteta za strojništvo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2021
Št. strani:
Str. 117-126
Številčenje:
Vol. 59
PID:
20.500.12556/RUL-138454
UDK:
621.791.72(045)
ISSN pri članku:
0278-6125
DOI:
10.1016/j.jmsy.2021.02.007
COBISS.SI-ID:
52913667
Datum objave v RUL:
21.07.2022
Število ogledov:
521
Število prenosov:
78
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
Gradivo je del revije
Naslov:
Journal of manufacturing systems
Skrajšan naslov:
J. manuf. syst.
Založnik:
Elsevier, Society of Manufacturing Engineers
ISSN:
0278-6125
COBISS.SI-ID:
574226
Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
dvožarkovno lasersko varjenje
,
degradacija
,
vzdrževanje na osnovi stanja sistema
,
nadzor
,
ekspertno znanje
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Hidria Holding d.o.o.
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0270
Naslov:
Proizvodni sistemi, laserske tehnologije in spajanje materialov
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj