RT Journal Article
T1 The effect of initial texture on multiple necking formation in polycrystalline thin rings subjected to dynamic expansion
A1 N Souglo, Komi Espoir
A1 Kowalczyk Gajewska, Katarzyna
A1 Marvi Mashhadi, Mohammad
A1 Rodríguez Martínez, Guillermo
AB In this paper, we have investigated, using finite element calculations, the effect of initial texture on the formation of multiple necking patterns in ductile metallic rings subjected to rapid radial expansion. The mechanical behavior of the material has been modeled with the elasto-viscoplastic single crystal constitutive model developed by Marin (2006). The polycrystalline microstructure of the ring has been generated using random Voronoi seeds. Both 5000 grain and 15000 grain aggregates have been investigated, and for each polycrystalline aggregate three different spatial distributions of grains have been considered. The calculations have been performed within a wide range of strain rates varying from  to , and the rings have been modeled with four different initial textures: isotropic texture,  Goss texture,  R Goss texture and  Z fiber texture. The finite element results show that: (i) the spatial distribution of grains affects the location of the necks, (ii) the decrease of the grain size delays the formation of the necking pattern and increases the number of necks, (iii) the initial texture affects the number of necks, the location of the necks, and the necking time, (iv) the development of the necks is accompanied by a local increase of the slip activity. This work provides new insights into the effect of crystallographic microstructure on dynamic plastic localization and guidelines to tailor the initial texture in order to delay dynamic necking formation and, thus, to improve the energy absorption capacity of ductile metallic materials at high strain rates.
PB Elsevier
SN 0167-6636
YR 2023
FD 2023-06-01
LK https://hdl.handle.net/10016/39042
UL https://hdl.handle.net/10016/39042
LA eng
NO This work has received funding from the European Union's Horizon 2020 Programme (Excellent Science, Marie-Skłodowska-Curie Actions) under REA grant agreement 777896 (Project QUANTIFY). The support of National Science Centre, Poland , through the project 2021/41/B/ST8/03345 is acknowledged.
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RD 18 jul. 2024