Failure Performance Analysis of Resistance Spot Welded Advanced High Strength Steel Sheets

A numerical method to predict failure performance was developed for resistance spot welded AHSS (advanced high strength steel) sheets in this work and applied for a TRIP (transformation induced steel sheets) 980 sheet. For the numerical analysis, utilizing the numerical inverse calibration method, h...

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Bibliographic Details
Published inKey Engineering Materials Vol. 651-653; pp. 895 - 900
Main Authors Noh, Woo Ram, Yang, Xin, Chung, Kwan Soo, Hong, Jong Hwa, Koh, Young Woo
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 10.07.2015
Subjects
Failure
Failure analysis
High strength steels
Numerical analysis
Sheet metal
Spots
Tensile tests
Welded joints
Fracture Criterion
Numerical Inverse Calibration
Resistance Spot Welding
Failure Performance
Advance High Strength Steel Sheet
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Summary:A numerical method to predict failure performance was developed for resistance spot welded AHSS (advanced high strength steel) sheets in this work and applied for a TRIP (transformation induced steel sheets) 980 sheet. For the numerical analysis, utilizing the numerical inverse calibration method, hardening data and fracture criteria were characterized for the base and the weld nugget based on the standard simple tension test and a newly designed miniature tension test, respectively. The characterized properties of the base and the weld nugget were then applied to analyze failure performance in the coupon tests of the lap-shear and U-shape tension tests carried out for welded sheets. The analysis was performed under the quasi-static condition in this early effort and showed reasonably good agreement with experiments both in failure modes and strength.
Bibliography:Selected, peer reviewed papers from the 18th International ESAFORM Conference on Material Forming (ESAFORM 2015), April 15-17, 2015, Graz, Austria
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ISBN:3038354716
9783038354710
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.651-653.895