Predicting grain size in extruded AA6063 profiles: A unified approach based on finite element analysis and machine learning
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-14021-9.pdf
Reference45 articles.
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2. Donati L, Segatori A, El Mehtedi M, Tomesani L (2013) Grain evolution analysis and experimental validation in the extrusion of 6XXX alloys by use of a Lagrangian FE code. Int J Plast 46:70–81. https://doi.org/10.1016/j.ijplas.2012.11.008
3. Negozio M, Pelaccia R, Donati L, Reggiani B (2023) Simulation of the microstructure evolution during the extrusion of two industrial-scale AA6063 profiles. J Manuf Process 99:501–512. https://doi.org/10.1016/j.jmapro.2023.05.075
4. Yi J, Wang ZH, Liu ZW, Zhang JM, He X (2018) Fe analysis of extrusion defect and optimization of metal flow in porthole die for complex hollow aluminium profile. Trans Nonferrous Met Soc China 28(10):2094–2101. https://doi.org/10.1016/S1003-6326(18)64853-8
5. Zhang C, Yang S, Wang C et al (2016) Numerical and experimental investigation on thermo-mechanical behavior during transient extrusion process of high-strength 7XXX aluminum alloy profile. Int J Adv Manuf Technol 85:1915–1926. https://doi.org/10.1007/s00170-016-8595-3
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