Extended evaluation of Erichsen cupping test results by means of laser speckle

Andrzej Kocańda , Cezary Jasiński


Erichsen cupping test has usually been used to determine the height of the cup at the moment of sheet metal fracture, defined as the Erichsen Number IE. The paper presents a proposal of using Erichsen cupping test to determine the additional parameter – the height of the cup LN-IE at the moment of localized necking in sheet metal, which usually precedes fracture of sheet metal. For this purpose, a method of localized necking detection was developed. It is based on the phenomenon of laser speckle. The results of height measurements were presented for three different grades of sheet metals used in the automotive industry: 5754 H22 aluminum alloy, DC04 deep drawing steel, and Dogal 800DP high strength steel. The differences in cup heights at the moments of localized necking (LN-IE) and fracture (IE) of the tested sheet metals were in the range of 0–8%.
Author Andrzej Kocańda (FPE / IoMP)
Andrzej Kocańda,,
- The Institute of Manufacturing Processes
, Cezary Jasiński ( / / IoMP)
Cezary Jasiński,,
- The Institute of Manufacturing Processes
Journal seriesArchives of Civil and Mechanical Engineering, ISSN 1644-9665
Issue year2016
Publication size in sheets0.5
Keywords in PolishPróba Erichsena, speckle laserowe, lokalizacja odkształcenia, pękanie, LN-IE
Keywords in EnglishErichsen cupping test, laser speckle, localized necking, fracture, LN-IE
ASJC Classification2210 Mechanical Engineering; 2205 Civil and Structural Engineering
URL http://www.sciencedirect.com/science/article/pii/S1644966515000965
Languageen angielski
Extended evaluation of Erichsen cupping test results by means of laser speckle.pdf 2.3 MB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 16-07-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 16-07-2020, ArticleFromJournal
Publication indicators WoS Citations = 7; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 2.068; WoS Impact Factor: 2016 = 2.216 (2) - 2016=1.922 (5)
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