izpis_h1_title_alt

A visual inspection system for KTL coatings
ID Bračun, Drago (Avtor), ID Lekše, Igor (Avtor)

.pdfPDF - Predstavitvena datoteka, prenos (801,95 KB)
MD5: 40BC8F1F874E27A62A9F84F316DD5D65
URLURL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S2212827119304974 Povezava se odpre v novem oknu

Izvleček
Many metal components in automotive industry are surface-protected using the electrophoretic cathode metal coating (KTL). As surface defects can occur in this process, the components need to be 100% inspected, especially if the manufacturers are committed to delivering zero-defect products. Due to complicated 3D curved shapes and black shiny colour of the coating, inspection is typically carried out manually. To avoid labour-intensive manual inspection in serial production, an automated visual inspection system is developed. The paper presents the implementation of a control device for mass inspection of the products, typical KLT coating defects, and the visual inspection method for the detection of coating defects. A difference image acquisition method is implemented in order to reveal the defects on the black shiny colored parts. An image processing algorithm for the recognition of light patterns and a clustering approach for the recognition of defects are presented.

Jezik:Angleški jezik
Ključne besede:KTL, surface defect, inspection, imaging system, pattern recognition, cluster
Vrsta gradiva:Članek v reviji
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2019
Št. strani:f. 771-774
Številčenje:Vol. 81
PID:20.500.12556/RUL-108466 Povezava se odpre v novem oknu
UDK:658.56:620.191(045)
ISSN pri članku:2212-8271
DOI:10.1016/j.procir.2019.03.192 Povezava se odpre v novem oknu
COBISS.SI-ID:16688411 Povezava se odpre v novem oknu
Datum objave v RUL:03.07.2019
Število ogledov:2031
Število prenosov:583
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
:
Kopiraj citat
Objavi na:Bookmark and Share

Gradivo je del zbornika

Naslov:52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019
COBISS.SI-ID:16674843 Povezava se odpre v novem oknu

Gradivo je del revije

Naslov:Procedia CIRP
Založnik:Elsevier
ISSN:2212-8271
COBISS.SI-ID:12981019 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:površinske napake, nadzor kakovosti, slikovni sistemi, razpoznavanje vzorcev

Projekti

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