Prediction of Casting Defects and Process Parameter Optimization Based on PSO-BP Neural Network with Application to Titanium Alloy Investment Casting.

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Title: Prediction of Casting Defects and Process Parameter Optimization Based on PSO-BP Neural Network with Application to Titanium Alloy Investment Casting.
Authors: He, Dongcheng1, Dong, Yingjie2, pzhdyjlht@163.com, Zhang, Qi3
Source: Coatings (2079-6412); May2026, Vol. 16 Issue 5, p589, 29p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194118293
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  Data: Prediction of Casting Defects and Process Parameter Optimization Based on PSO-BP Neural Network with Application to Titanium Alloy Investment Casting.
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  Data: <searchLink fieldCode="JN" term="%22Coatings+%282079-6412%29%22">Coatings (2079-6412)</searchLink>; May2026, Vol. 16 Issue 5, p589, 29p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194118293
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    Identifiers:
      – Type: doi
        Value: 10.3390/coatings16050589
    Languages:
      – Code: eng
        Text: English
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        PageCount: 29
        StartPage: 589
    Titles:
      – TitleFull: Prediction of Casting Defects and Process Parameter Optimization Based on PSO-BP Neural Network with Application to Titanium Alloy Investment Casting.
        Type: main
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            NameFull: He, Dongcheng
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            NameFull: Dong, Yingjie
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            NameFull: Zhang, Qi
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 16
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              Value: 5
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            – TitleFull: Coatings (2079-6412)
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