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. |
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| 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 192201651 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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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. – Name: Author Label: Authors Group: Au 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> – Name: TitleSource Label: Source Group: Src 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: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00170-026-17425-x Languages: – 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 BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Yulong – PersonEntity: Name: NameFull: Wang, Wenhu – PersonEntity: Name: NameFull: Dong, Ruizhe – PersonEntity: Name: NameFull: Wang, Zichun – PersonEntity: Name: NameFull: Zhang, Tianren – PersonEntity: Name: NameFull: Jiang, Ruisong – PersonEntity: Name: NameFull: Cui, Kang – PersonEntity: Name: NameFull: Wang, Yuanbin IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 142 – Type: issue Value: 11/12 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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