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Prediction of sheared edge characteristics of advanced high strength steel
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Solid Mechanics.ORCID iD: 0000-0002-0764-5667
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Solid Mechanics.ORCID iD: 0000-0001-7895-1058
Eurecat, Centre Tecnològic de Catalunya, Unit of Metallic and Ceramic Materials, Plaça de la Ciència, 2, Manresa 08243, Spain.ORCID iD: 0000-0002-1401-6877
Eurecat, Centre Tecnològic de Catalunya, Unit of Metallic and Ceramic Materials, Plaça de la Ciència, 2, Manresa 08243, Spain.ORCID iD: 0000-0002-9446-4388
Show others and affiliations
2022 (English)In: IOP Conference Series: Materials Science and Engineering / [ed] Sandrine Thuillier, Vincent Grolleau, Hervé Laurent, Institute of Physics (IOP), 2022, Vol. 1238, article id 012034Conference paper, Published paper (Refereed)
Abstract [en]

In the present work, numerical models are developed for the shearing and cutting process of advanced high strength steel-blanks which can predict the edge morphology in the shear effected zone. A damage model, based on the modified Mohr-Coulomb fracture surface, is calibrated. To increase the predictability of the numerical models, the fracture surface is fine-tuned in areas corresponding to the stress-state of cutting, a methodology called Local calibration of Fracture Surface (LCFS). Four cutting cases with varying clearance are simulated and verified with experimental tests, showing good agreement. It is thus found that the suggested methodology can simulate cutting with adequate accuracy. Furthermore, it is found that solely using plane-stress tensile specimens for calibrating the fracture surface is not enough to obtain numerical models with adequate accuracy.

Place, publisher, year, edition, pages
Institute of Physics (IOP), 2022. Vol. 1238, article id 012034
Series
IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, E-ISSN 1757-899X
National Category
Applied Mechanics
Research subject
Solid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-93147DOI: 10.1088/1757-899X/1238/1/012034ISI: 000894042400034OAI: oai:DiVA.org:ltu-93147DiVA, id: diva2:1697071
Conference
41st International Deep-Drawing Research Group Conference (IDDRG 2022), June 6-10, 2022, Lorient, France
Projects
CuttingEdge4.0 project
Note

Funder: European Commission, Research Fund for Coal and Steel (847213)

Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2023-09-05Bibliographically approved

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Sandin, OlleHammarberg, SamuelCasellas, DanielJonsén, Pär

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