Karakterisering av flankförslitningar med hjälp av bildanalys
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
The possibility of using Image Analysis for the characterization and classification of wear has been examined. The wear was exhibited by inserts used in machining operations such as turning and milling, with a classification of which types of wear were exhibited and a subsequent quantification of the extent. The classifier uses a point based system for selecting a wear probability, while the quantifier uses a vertical scanning technique to estimate the wear extent. An algorithm was developed capable of handling images of inserts from turning operations as input, giving the probability of four wear types in the image (unworn, type 1, type 2 and type 1 & 2) and the extent of wear on the flank side as output. To create a generic algorithm great care had to be taken in the selection of commonly available software and tools used for its development, and a photo rig prototype had to be developed in order to create freedom of choice in photo angles and distances.
Place, publisher, year, edition, pages
2015. , 65 p.
Teknik, Bildanalys, image Analysis, flank wear
IdentifiersURN: urn:nbn:se:ltu:diva-55403Local ID: c449f613-0ba2-411d-a63a-76523a4e94f9OAI: oai:DiVA.org:ltu-55403DiVA: diva2:1028785
Subject / course
Student thesis, at least 30 credits
Materials Engineering, master's level
Validerat; 20150228 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved