| DOI | Resolve DOI: https://doi.org/10.1007/978-3-031-40920-2_44 |
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| Author | Search for: Zang, Andrew; Search for: Béland, Jean-François1; Search for: Wang, Yu; Search for: Parson, Nick; Search for: Poole, Warren J. |
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| Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
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| Format | Text, Article |
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| Conference | ICTP 2023, the 14th International Conference on the Technology of Plasticity: Current Trends in the Technology of Plasticity, September 24-29, 2023, Bay of Cannes, France |
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| Abstract | The use of hollow aluminum extrusions fabricated using porthole dies in automotive applications is increasing. In a porthole die, the aluminum feed splits into multiple paths to pass around the bridges which support the internal mandrel and then recombines in the weld chamber of the die. A challenge for these products is the spatial variation of microstructure near the weld seam, in particular crystallographic texture. In the current study, an Al-Mg-Si alloy with a high density of Mn/Cr containing dispersoids was extruded through a simple die with two portholes and a single bridge into a rectangular strip. The high density of dispersoids minimized recrystallization during and after the extrusion process. The microstructure in the profile was analyzed using electron backscatter diffraction (EBSD) maps. It was observed that the microstructure could be segmented into a number of regions with different crystallographic textures. Using the information on local texture, the visco-plastic self-consistent (VPSC) polycrystal plasticity code was used to predict the local anisotropic plastic response in each region. The VPSC results were used to fit a Barlat YLD2004-18p flow rule which was employed in an LS-Dyna finite element method (FEM) model to predict the spatial variation of plastic strain near the weld seam. The FEM simulations were validated with tensile testing where the local strain was characterized using digital image correlation (DIC). Good agreement was found between the DIC and FEM results. |
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| Publication date | 2023-08-20 |
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| Publisher | Springer Nature |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | b626972d-b7c6-46a3-8ada-8b7ba1d4f10d |
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| Record created | 2024-11-18 |
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| Record modified | 2024-11-18 |
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