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Analiza delovanja kontrole po KTL površinski zaščiti
ID Dolenšek, Franci (Author), ID Bračun, Drago (Mentor) More about this mentor... This link opens in a new window

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Abstract
Diplomska naloga obravnava vizualno kontrolo površinske zaščite avtomobilskih komponent. V velikoserijski proizvodnji avtomatska kontrolna naprava 100% kontrolira izdelke. Sestavljena je iz industrijskih robotov in transferja za manipulacijo izdelkov ter slikovnih sistemov za zajem slik površine izdelka in analizo slik za ugotavljanje prisotnosti napak lakiranja. V diplomskem delu je najprej predstavljeno delovanje in upravljanje kontrolne naprave. Nato je izvedena analiza delovanja ter pravilnosti prepoznave napak površinske zaščite izdelkov. Analizirane so slike izdelkov označenih kot izdelki z napako. Izdelali smo statistiko napak ter ugotovili da kontrolna naprava prekomerno izloča izdelke, čemur pravimo lažni izmet. Analizirani so vzroki za to ter podani predlogi sprememb nastavitev prepoznave napak, kot tudi predelave mehanskih sklopov.

Language:Slovenian
Keywords:elektroforetično barvanje, kontrolna naprava, analiza, prepoznava napak, kontrola površinske zaščite, lažni izmet
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[F. Dolenšek]
Year:2022
Number of pages:XXII, 47 str.
PID:20.500.12556/RUL-139750 This link opens in a new window
UDC:687.051.2:629.3.023.2+005.52(043.2)
COBISS.SI-ID:136897283 This link opens in a new window
Publication date in RUL:07.09.2022
Views:371
Downloads:140
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Secondary language

Language:English
Title:Performance analysis of E-coat surface protection inspection system
Abstract:
The thesis deals with the visual inspection of the surface protection of automotive components. In mass production, an automatic control device is responsible for 100% product control. It consists of industrial robots and a transfer system for product manipulation and imaging systems for capturing an image of the product surface and analyzing the image to determine the presence of a paint defect. This thesis first presents the operation and management of the control device. Then, we carry out an analysis of the functioning and the correctness of defect identification in the surface protection of the products. We analyzed both images of marked products and defective products. We compiled error statistics and found that the control device is excessively ejecting products, which we call false negative. We analyze the reasons for this and give proposals for changes to error detection settings. We also give proposals for the reworking of mechanical assemblies.

Keywords:e-coat, inspection device, analysis, defect recognition, surface protection inspection, false negative

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