zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni program
Nejc Novak (Author), Martin Česnik (Mentor), Miha Boltežar (Co-mentor)

Abstract

V zaključni nalogi je predstavljena metoda za identifikacijo razpok s pomočjo digitalne korelacije fotografij. Metodologija zajema sintetični preizkus delovanja optičnih metod, nato pa realni eksperiment, pri katerem smo vzorce iz aluminija na stresalniku vzbujali in s hitro kamero opazovali visoko frekvenčno odpiranje razpoke. Analiza posnetkov je bila opravljena v programskem okolju Python. Na vseh treh vzorcih so bile identificirane razpoke v zgodnji fazi nastanka.

Keywords

diplomske naloge;digitalna korelacija slike;optične metode;detekcija razpok;sinusno vzbujanje;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FS - Faculty of Mechanical Engineering
Publisher: [N. Novak]
UDC: 620.1/2:669.71(043.2)
COBISS: 99062275 Link will open in a new window
Views: 438
Downloads: 81
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Digital image correlation based crack detection during vibration fatigue
Secondary abstract: The final thesis presents a crack identification method based on the digital image correlation technique. The methodology included synthetic testing of optical methods, followed by a real experiment in which we excited aluminum samples by a shaker and observed the high-frequency crack opening with a fast camera. The image analysis was performed in the Python software environment. In all the three samples, cracks were identified at an early stage.
Secondary keywords: thesis;optical method;crack detection;sine excitation;
Type (COBISS): Final paper
Study programme: 0
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za strojništvo
Pages: XIII, 33 str.
ID: 14624528