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Uporaba strojnega vida za zagotavljanje kakovosti proizvodnje zaganjalnikov
ID Gergolet, Gregor (Author), ID Kramar, Davorin (Mentor) More about this mentor... This link opens in a new window, ID Lebar, Andrej (Co-mentor)

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Abstract
Namen magistrske naloge je kontrola premera obročev in višine vilic na paletah z uporabo strojnega vida. Z metodo Poka Yoke odpravimo napake, ki jih povzroča človeški faktor in preprečimo njihov negativni vpliv na končni proizvod. Pri nadzoru procesa s kamerami imamo težave pri detekciji premera obročev in višine vilic. Obrabljeno orodje in odbojni paneli vplivajo na slabo detekcijo geometrijskih likov s kamero zaradi različnih odsevov. Z uporabo metod in orodij kakovosti smo analizirali trenutno stanje in ovrednotili najbolj kritične napake. Izvedli smo načrt za izboljšanje stabilnosti sistema. Z uporabo drugih odbojnih panelov, vgradnje polarizacijskega filtra in pravilne postavitve kamer, smo dosegli bolj natančne rezultate pri detekciji pravilno izbranega orodja. Primerjali smo prvotno in končno stanje. Ugotovili smo, da z nadgradnjo sistema pri merjenju višine vilic in premera obročev dosegli bistveno boljše rezultate. Izdelali smo FMEA analizo prvotnega in končnega stanja. Iz analize FMEA smo ugotovili, da se je faktor prednostnega števila tveganja v primerjavi s prvotnim stanjem bistveno znižal.

Language:Slovenian
Keywords:strojni vid detekcija robov s kamero metode in orodja zagotavljanja kakovosti Poka Yoke FMEA
Work type:Master's thesis
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Publisher:[G. Gergolet]
Year:2018
PID:20.500.12556/RUL-102573 This link opens in a new window
UDC:004.946:681.518.52(043.2)
COBISS.SI-ID:16396059 This link opens in a new window
Publication date in RUL:02.09.2018
Views:1678
Downloads:920
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Secondary language

Language:English
Title:Using vison sensors to ensure quality on starter motors' assembly line
Abstract:
The objective of this master thesis was to ensure control of the ring diameter and forks height on pallets with the support of vision sensors. With the Poka Yoke method we were able to get rid of human error, which had an impact on the final product. The process monitoring process using the cameras revealed issues in measuring the diameter of the rings and the height of the forks. Firstly, by using methods and quality tools the current status in the pallet rearrangement working space was analysed. Furthermore, using reflective panels, a polarised filter and the appropriate cameras position, more accurate results were achieved. A final FMEA analysis was performed comparing the current and previous set up. This revealed a significant reduction of the RPN factor.

Keywords:vision camera detection borders with camera methods and tools of quality check Poka Yoke FMEA

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