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Ductile Fracture Prediction for Ti6Al4V Alloy Based on the Shear-Modified GTN Model and Machine Learning.

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Title: Ductile Fracture Prediction for Ti6Al4V Alloy Based on the Shear-Modified GTN Model and Machine Learning.
Authors: Shen, Tao1,2, shentao@nbu.edu.cn, Li, Biao2, Fang, Yuxuan2
Source: Metals (2075-4701); Sep2025, Vol. 15 Issue 9, p995, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188322070
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PubType: Academic Journal
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  Data: Ductile Fracture Prediction for Ti6Al4V Alloy Based on the Shear-Modified GTN Model and Machine Learning.
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        Value: 10.3390/met15090995
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 995
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      – TitleFull: Ductile Fracture Prediction for Ti6Al4V Alloy Based on the Shear-Modified GTN Model and Machine Learning.
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            NameFull: Shen, Tao
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            NameFull: Li, Biao
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            NameFull: Fang, Yuxuan
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            – D: 01
              M: 09
              Text: Sep2025
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              Y: 2025
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