Iterative modeling of grain size and force during ultrasonic vibratory–assisted grinding SiCp/Al composites.
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| Title: | Iterative modeling of grain size and force during ultrasonic vibratory–assisted grinding SiCp/Al composites. |
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| Authors: | jin, Jinghao1 (AUTHOR), Zhao, Man1,2,3 (AUTHOR) zhaoman@sues.edu.cn, Mao, Jian1,2,3 (AUTHOR), Liu, Gang1,2 (AUTHOR), Zhang, Liqiang1,2 (AUTHOR), Feng, Yixuan4 (AUTHOR), Liang, Steven Y.4 (AUTHOR) |
| Source: | International Journal of Advanced Manufacturing Technology. Jun2025, Vol. 138 Issue 7, p3559-3574. 16p. |
| Subjects: | Grain size, Tangential force, Thermal conductivity, Silicon carbide, Model validation |
| Abstract: | Aluminum matrix composites reinforced with silicon carbide particles (SiCp/Al) are widely used in aerospace fields with excellent properties such as high specific strength, high specific stiffness, and high thermal conductivity. The SiCp/Al composite, characterized by its multiphase architecture comprising dissimilar constituent phases, presents significant machining challenges that stem from intrinsic heterogeneous deformation behavior, and the microstructure of the material is one of the determining factors of the life of the workpiece, so the grinding mechanism considering microstructure evolution should be investigated. Therefore, the grinding force model and grain size evolution model of ultrasonic vibration–assisted grinding (UVAG) SiCp/Al composites are constructed in this paper. On the basis, the grinding force-heat model and the grain size evolution model are dynamically iterated to obtain the grain size evolution trend and the relationship of process parameters–grain size evolution–grinding force. Then the orthogonal grinding experiments were systematically designed and executed, with model validation conducted through ultrasonic vibration–assisted grinding tests under controlled conditions. The results showed that the error of the grinding force model considering microstructure evolution is less than 10%. Parametric sensitivity analysis identified depth of cut as the predominant influencing factor, contributing variance in tangential forces and normal forces. Finally, EBSD detection was performed to analyze the effect of grinding parameters on grain size and verify the accuracy of the grain size model of this material, and the model error is about 6.37%. [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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| Header | DbId: egs DbLabel: Engineering Source An: 185470438 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Iterative modeling of grain size and force during ultrasonic vibratory–assisted grinding SiCp/Al composites. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22jin%2C+Jinghao%22">jin, Jinghao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Man%22">Zhao, Man</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zhaoman@sues.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Mao%2C+Jian%22">Mao, Jian</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Gang%22">Liu, Gang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Liqiang%22">Zhang, Liqiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Yixuan%22">Feng, Yixuan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Steven+Y%2E%22">Liang, Steven Y.</searchLink><relatesTo>4</relatesTo> (AUTHOR) – 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>. Jun2025, Vol. 138 Issue 7, p3559-3574. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Grain+size%22">Grain size</searchLink><br /><searchLink fieldCode="DE" term="%22Tangential+force%22">Tangential force</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+conductivity%22">Thermal conductivity</searchLink><br /><searchLink fieldCode="DE" term="%22Silicon+carbide%22">Silicon carbide</searchLink><br /><searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aluminum matrix composites reinforced with silicon carbide particles (SiCp/Al) are widely used in aerospace fields with excellent properties such as high specific strength, high specific stiffness, and high thermal conductivity. The SiCp/Al composite, characterized by its multiphase architecture comprising dissimilar constituent phases, presents significant machining challenges that stem from intrinsic heterogeneous deformation behavior, and the microstructure of the material is one of the determining factors of the life of the workpiece, so the grinding mechanism considering microstructure evolution should be investigated. Therefore, the grinding force model and grain size evolution model of ultrasonic vibration–assisted grinding (UVAG) SiCp/Al composites are constructed in this paper. On the basis, the grinding force-heat model and the grain size evolution model are dynamically iterated to obtain the grain size evolution trend and the relationship of process parameters–grain size evolution–grinding force. Then the orthogonal grinding experiments were systematically designed and executed, with model validation conducted through ultrasonic vibration–assisted grinding tests under controlled conditions. The results showed that the error of the grinding force model considering microstructure evolution is less than 10%. Parametric sensitivity analysis identified depth of cut as the predominant influencing factor, contributing variance in tangential forces and normal forces. Finally, EBSD detection was performed to analyze the effect of grinding parameters on grain size and verify the accuracy of the grain size model of this material, and the model error is about 6.37%. [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/s00170-025-15629-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 3559 Subjects: – SubjectFull: Grain size Type: general – SubjectFull: Tangential force Type: general – SubjectFull: Thermal conductivity Type: general – SubjectFull: Silicon carbide Type: general – SubjectFull: Model validation Type: general Titles: – TitleFull: Iterative modeling of grain size and force during ultrasonic vibratory–assisted grinding SiCp/Al composites. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: jin, Jinghao – PersonEntity: Name: NameFull: Zhao, Man – PersonEntity: Name: NameFull: Mao, Jian – PersonEntity: Name: NameFull: Liu, Gang – PersonEntity: Name: NameFull: Zhang, Liqiang – PersonEntity: Name: NameFull: Feng, Yixuan – PersonEntity: Name: NameFull: Liang, Steven Y. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 138 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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