Layout optimization method for wax supports on wax pattern ceramic core of hollow turbine blade.

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Title: Layout optimization method for wax supports on wax pattern ceramic core of hollow turbine blade.
Authors: Wu, Yulong1,2 (AUTHOR), Wang, Wenhu1,2 (AUTHOR), Dong, Ruizhe1,2 (AUTHOR), Wang, Zichun1,2 (AUTHOR), Zhang, Tianren1,2 (AUTHOR), Jiang, Ruisong3 (AUTHOR), Cui, Kang4 (AUTHOR), Wang, Yuanbin1,2 (AUTHOR) wang.yuanbin@nwpu.edu.cn
Source: International Journal of Advanced Manufacturing Technology. Feb2026, Vol. 142 Issue 11/12, p6017-6035. 19p.
Subjects: Genetic algorithms, Precision casting, Coremaking, Computer simulation, Structural optimization, Turbine blades
Abstract: The accuracy of hollow turbine blades is influenced by the precision of the wax patterns that incorporate ceramic cores. The positioning and stabilization of the ceramic core within the mold are critical yet challenging during the wax pattern forming process. Wax supports provide a promising solution for this issue, as they offer sufficient support without risking damage to the ceramic core, unlike traditional metal supports. However, as wax materials tend to deform under injection pressure, optimizing the layout of wax supports became crucial to balance the load and maintain positioning accuracy. Considering the characteristics, a wax support layout optimization model was established in this paper to reduce positioning errors while adhering to the constraints of load balance, uniform load distribution, and wall thickness. The load on the ceramic core during the wax injection process was analyzed through numerical simulation, and the optimization model was solved using an adaptive genetic algorithm (AGA). The optimized layout was determined by the wax pressing experiment. The results demonstrated that the optimized wax support layout improved wall thickness accuracy by 31.4%, thereby establishing a foundation for enhancing casting precision. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Layout optimization method for wax supports on wax pattern ceramic core of hollow turbine blade.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Yulong%22">Wu, Yulong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Wenhu%22">Wang, Wenhu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Ruizhe%22">Dong, Ruizhe</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Zichun%22">Wang, Zichun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Tianren%22">Zhang, Tianren</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Ruisong%22">Jiang, Ruisong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Kang%22">Cui, Kang</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yuanbin%22">Wang, Yuanbin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> wang.yuanbin@nwpu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Feb2026, Vol. 142 Issue 11/12, p6017-6035. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Precision+casting%22">Precision casting</searchLink><br /><searchLink fieldCode="DE" term="%22Coremaking%22">Coremaking</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Turbine+blades%22">Turbine blades</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The accuracy of hollow turbine blades is influenced by the precision of the wax patterns that incorporate ceramic cores. The positioning and stabilization of the ceramic core within the mold are critical yet challenging during the wax pattern forming process. Wax supports provide a promising solution for this issue, as they offer sufficient support without risking damage to the ceramic core, unlike traditional metal supports. However, as wax materials tend to deform under injection pressure, optimizing the layout of wax supports became crucial to balance the load and maintain positioning accuracy. Considering the characteristics, a wax support layout optimization model was established in this paper to reduce positioning errors while adhering to the constraints of load balance, uniform load distribution, and wall thickness. The load on the ceramic core during the wax injection process was analyzed through numerical simulation, and the optimization model was solved using an adaptive genetic algorithm (AGA). The optimized layout was determined by the wax pressing experiment. The results demonstrated that the optimized wax support layout improved wall thickness accuracy by 31.4%, thereby establishing a foundation for enhancing casting precision. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00170-026-17425-x
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 6017
    Subjects:
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Precision casting
        Type: general
      – SubjectFull: Coremaking
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Structural optimization
        Type: general
      – SubjectFull: Turbine blades
        Type: general
    Titles:
      – TitleFull: Layout optimization method for wax supports on wax pattern ceramic core of hollow turbine blade.
        Type: main
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          Name:
            NameFull: Wu, Yulong
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            NameFull: Wang, Wenhu
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            NameFull: Dong, Ruizhe
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            NameFull: Wang, Zichun
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            NameFull: Zhang, Tianren
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            NameFull: Jiang, Ruisong
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            NameFull: Cui, Kang
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            – D: 15
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 142
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              Value: 11/12
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            – TitleFull: International Journal of Advanced Manufacturing Technology
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