Liquid Metal Embrittlement of Advanced High Strength Steel: Experiments and Damage Modeling
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- @Article{prabitz:2021:Materials,
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author = "Konstantin Manuel Prabitz and
Mohammad Zhian Asadzadeh and Marlies Pichler and Thomas Antretter and
Coline Beal and Holger Schubert and Benjamin Hilpert and
Martin Gruber and Robert Sierlinger and Werner Ecker",
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title = "Liquid Metal Embrittlement of Advanced High Strength
Steel: Experiments and Damage Modeling",
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journal = "Materials",
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year = "2021",
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volume = "14",
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number = "18",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1996-1944",
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URL = "https://www.mdpi.com/1996-1944/14/18/5451",
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DOI = "doi:10.3390/ma14185451",
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abstract = "In the automotive industry, corrosion protected
galvanized advanced high strength steels with high
ductility (AHSS-HD) gain importance due to their good
formability and their lightweight potential.
Unfortunately, under specific thermomechanical loading
conditions such as during resistance spot welding
galvanized, AHSS-HD sheets tend to show liquid metal
embrittlement (LME). LME is an intergranular decohesion
phenomenon leading to a drastic loss of ductility of up
to 95percent. The occurrence of LME for a given
galvanized material mainly depends on thermal and
mechanical loading. These influences are investigated
for a dual phase steel with an ultimate tensile
strength of 1200 MPa, a fracture strain of 14percent
and high ductility (DP1200HD) by means of systematic
isothermal hot tensile testing on a Gleeble(R) 3800
thermomechanical simulator. Based on the experimental
findings, a machine learning procedure using symbolic
regression is applied to calibrate an LME damage model
that accounts for the governing quantities of
temperature, plastic strain and strain rate. The finite
element (FE) implementation of the damage model is
validated based on the local damage distribution in the
hot tensile tested samples and in an exemplary 2-sheet
resistance spot weld. The developed LME damage model
predicts the local position and the local intensity of
liquid metal induced cracking in both cases very
well.",
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notes = "also known as \cite{ma14185451}",
- }
Genetic Programming entries for
Konstantin Manuel Prabitz
Mohammad Zhian Asadzadeh
Marlies Pichler
Thomas Antretter
Coline Beal
Holger Schubert
Benjamin Hilpert
Martin Gruber
Robert Sierlinger
Werner Ecker
Citations