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Fracture Toughness to Understand Stretch-Flangeability and Edge Cracking Resistance in AHSS
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.
Fundació CTM Centre Tecnològic, Manresa.
Fundació CTM Centre Tecnològic, Manresa.
Fundació CTM Centre Tecnològic, Manresa.
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Number of Authors: 8
2016 (English)In: Metallurgical and Materials Transactions. A, ISSN 1073-5623, E-ISSN 1543-1940Article in journal (Refereed) Epub ahead of print
Abstract [en]

The edge fracture is considered as a high risk for automotive parts, especially for parts made of advanced high strength steels (AHSS). The limited ductility of AHSS makes them more sensitive to the edge damage. The traditional approaches, such as those based on ductility measurements or forming limit diagrams, are unable to predict this type of fractures. Thus, stretch-flangeability has become an important formability parameter in addition to tensile and formability properties. The damage induced in sheared edges in AHSS parts affects stretch-flangeability, because the generated microcracks propagate from the edge. Accordingly, a fracture mechanics approach may be followed to characterize the crack propagation resistance. With this aim, this work addresses the applicability of fracture toughness as a tool to understand crack-related problems, as stretch-flangeability and edge cracking, in different AHSS grades. Fracture toughness was determined by following the essential work of fracture methodology and stretch-flangeability was characterized by means of hole expansions tests. Results show a good correlation between stretch-flangeability and fracture toughness. It allows postulating fracture toughness, measured by the essential work of fracture methodology, as a key material property to rationalize crack propagation phenomena in AHSS.

Place, publisher, year, edition, pages
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Applied Mechanics
Research subject
Solid Mechanics
URN: urn:nbn:se:ltu:diva-60076DOI: 10.1007/s11661-016-3815-xScopusID: 2-s2.0-84991795056OAI: diva2:1043886
Available from: 2016-11-01 Created: 2016-11-01 Last updated: 2016-12-03

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Casellas, Daniel
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