Citations (17)
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H. Jin. (2017) Breakup of texture alignment and reduction of roping in AA6111 aluminium alloy. Materials Science and Technology 33:11, pages 1388-1396.
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Yuanzhe Hu, Guowei Zhou, Xini Yuan, Dayong Li, Lingyong Cao, Wen Zhang & Peidong Wu. (2023) An artificial neural network-based model for roping prediction in aluminum alloy sheet. Acta Materialia 245, pages 118605.
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Y. Shi, H. Jin, P.D. Wu & D.J. Lloyd. (2017) Analysis of roping in an AA6111 T4P automotive sheet in 3D deformation states. Acta Materialia 124, pages 598-607.
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L. Qin, M. Seefeldt & P. Van Houtte. (2015) Analysis of roping of aluminum sheet materials based on the meso-scale moving window approach. Acta Materialia 84, pages 215-228.
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Hai Ou Jin & A.K. Gupta. (2011) The Effect of through-Thickness Texture Inhomogeneity on Roping Behavior in AA6111 Al-Si-Mg Alloy. Materials Science Forum 702-703, pages 273-278.
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Shingo Ikawa, Mineo Asano, Mitsutoshi Kuroda & Kengo Yoshida. (2011) Effect of texture variation through sheet thickness on bendability in aluminum alloy sheet*. Journal of Japan Institute of Light Metals 61:2, pages 53-59.
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Jidong Kang, Xiaohua Hu, Stuart I. Wright, Peidong Wu, David S. Wilkinson & Raja K. Mishra. (2008) On the Calculation of Volume Fraction of Texture Components in AA5754 Sheet Materials. Metallurgical and Materials Transactions A 39:8, pages 2007-2013.
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G. Spanos, D.J. Rowenhorst, A.C. Lewis & A.B. Geltmacher. (2011) Combining Serial Sectioning, EBSD Analysis, and Image-Based Finite Element Modeling. MRS Bulletin 33:6, pages 597-602.
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S. Zaefferer, S.I. Wright & D. Raabe. (2008) Three-Dimensional Orientation Microscopy in a Focused Ion Beam–Scanning Electron Microscope: A New Dimension of Microstructure Characterization. Metallurgical and Materials Transactions A 39:2, pages 374-389.
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Yuanzhe Hu, Guowei Zhou, Xini Yuan, Dayong Li, Lingyong Cao, Wen Zhang & Peidong Wu. (2022) An Artificial Neural Network-Based Model for Roping Prediction in Aluminum Alloy Sheet. SSRN Electronic Journal.
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