Bojan Starman (Author), Bin Chen (Author), Andraž Maček (Author), Yi Zhang (Author), Miroslav Halilovič (Author)

Abstract

The accuracy of numerical predictions in sheet metal processes involving multiaxial stress–strain states (e.g., blanking, riveting, and incremental forming) heavily depends on the characterisation of plastic anisotropy under multiaxial loading conditions. A fully calibrated 3D plastic anisotropy model is essential for this purpose. While in-plane material behaviour can be conventionally characterised through uniaxial and equi-biaxial tensile tests, calibrating out-of-plane material behaviour remains a significant challenge. This behaviour, governed by out-of-plane shear stress and associated material parameters, is typically described by out-of-plane shear yielding. These parameters are notoriously diffi- cult to determine, leading researchers to frequently assume isotropic behaviour or identical shear parameters for in-plane and out-of-plane responses. Although advanced calibrations may utilise crystal plasticity modelling, there remains a critical need for macro-mechanical characterisation methods. This paper presents an out-of-plane shear testing and material characterisation procedure based on full-field strain measurements using digital image correlation (DIC). Strains within the shear zone are measured via DIC and employed in the Finite Element Model Updating (FEMU) to identify out-of-plane shear parameters of a 2.42 mm thick, cold-rolled AW5754-H22 aluminium alloy sheet, using the Yld2004-18p yield criterion. Given that the characteristic strain response at this scale may be influenced by local crystal structure behaviour on the surface, this paper evaluates the feasibility of such measurements. Finally, to test the validity of the full-field-based approach, the FEMU-identified parameters are compared against results obtained through a classical optimisation procedure based on force-elongation measurements from the shear zone.

Keywords

plastic anisotropy;shear testing;YLD2004–18p yield function;material identification;digital image correlation;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 621.742.4
COBISS: 236118275 Link will open in a new window
ISSN: 1996-1944
Views: 13
Downloads: 25
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Other data

Secondary language: Slovenian
Secondary keywords: plastična anizotropija;strižno testiranje;YLD2004–18p funkcija tečenja;materialna identifikacija;metoda korelacije digitalnih slik;
Type (COBISS): Article
Pages: 20 str.
Volume: ǂVol. ǂ18
Issue: ǂissue ǂ10, [article no.] 2220
Chronology: 2025
DOI: 10.3390/ma18102220
ID: 26417067