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Characterizing spatters in laser welding of thick steel using motion flow analysis




TekijätLahdenoja O, Säntti T, Poikonen J, Laiho M, Paasio A

ToimittajaJoni-Kristian Kämäräinen, Markus Koskela

Julkaisuvuosi2013

JournalLecture Notes in Computer Science

Kokoomateoksen nimi18th Scandinavian Conference on Image Analysis

Tietokannassa oleva lehden nimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Aloitussivu675

Lopetussivu686

Sivujen määrä12

ISBN978-3-642-38885-9

eISBN978-3-642-38886-6

ISSN0302-9743

DOIhttps://doi.org/10.1007/978-3-642-38886-6_63

Verkko-osoitehttp://api.elsevier.com/content/abstract/scopus_id:84884478220


Tiivistelmä
Laser welding has become a very important method for industrial manufacturing. Despite of the inherent accuracy of laser welding, the resulting weld quality may still be affected by many dynamic conditions related to the operating parameters and to the properties of the welded material. Methods for monitoring the laser welding process are therefore needed to guarantee consistent manufacturing quality. In this paper, we present a method for characterizing spatters in laser welding of thick steel. Pre-processing and edge detection steps of the proposed algorithm are performed on-line with a very high speed by using a dedicated KOVA1 massively parallel image processing chip, and the actual characterization of the spatters is carried out off-line in Matlab. The methods proposed are simple and efficient, thus also facilitating possible integration of the whole algorithm for on-line processing. © 2013 Springer-Verlag.



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