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Cited article:

Forecasting the residual stress components in wires using an artificial neural network

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The International Journal of Advanced Manufacturing Technology 141 (3-4) 1847 (2025)
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Fabrication of Cu-Ta composite with high strength and electrical conductivity through thermomechanical processing

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Journal of Alloys and Compounds 1036 181815 (2025)
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The Evolution of Surface Defects on High-Strength Cold Drawn Pearlite Steel Wire Based on Finite Element Method

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Synergistic control of composition and processing in Al-Mg-Si alloy conductors: development and performance mechanism investigation

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Materials Research Express 12 (10) 106508 (2025)
https://doi.org/10.1088/2053-1591/ae0f7e

Novel approach to optimize the mechanical properties of Cu-Al composite wires

Alireza Dashti, Clément Keller, Benoit Vieille and Alain Guillet
International Journal of Material Forming 15 (3) (2022)
https://doi.org/10.1007/s12289-022-01697-1

Concept for controlled adjustment of residual stress states in semi-finished products by gradation extrusion

René Selbmann, Markus Baumann, Mateus Dobecki, et al.
Archive of Applied Mechanics 91 (8) 3627 (2021)
https://doi.org/10.1007/s00419-021-01937-x