Academic Journal
Ply Optimization of Composite Laminates for Processing-Induced Deformation and Buckling Eigenvalues Based on Improved Genetic Algorithm.
| Τίτλος: | Ply Optimization of Composite Laminates for Processing-Induced Deformation and Buckling Eigenvalues Based on Improved Genetic Algorithm. |
|---|---|
| Συγγραφείς: | Liu, Qingchuan, Wang, Xiaodong, Guan, Zhidong, Li, Zengshan, Yang, Lingxiao |
| Πηγή: | Materials (1996-1944); Jan2025, Vol. 18 Issue 2, p345, 25p |
| Θεματικοί όροι: | Strains & stresses (Mechanics), Thermosetting composites, Residual stresses, Composite structures, Genetic algorithms |
| Περίληψη: | The structure of thermoset composite laminated plates is made by stacking layers of plies with different fiber orientations. Similarly, the stiffened panel structure is assembled from components with varying ply configurations, resulting in thermal residual stresses and processing-induced deformations (PIDs) during manufacturing. To mitigate the residual stresses caused by the geometric features of corner structures and the mismatch between the stiffener-skin ply orientations, which lead to PIDs in composite-stiffened panels, this study proposes a multi-objective stacking optimization strategy based on an improved adaptive genetic algorithm (IAGA). The viscoelastic constitutive model was employed to describe the modulus variation during the curing process to ensure computational accuracy. In this study, the IAGA was proposed to optimize the ply-stacking sequence of L-shaped stiffeners in composite laminated structures. The results demonstrate a reduction in the spring-in angle to 0.12°, a 50% improvement compared to symmetric balanced stacking designs, while the buckling eigenvalues were improved by 20%. Additionally, the IAGA outperformed the traditional non-dominated sorting genetic algorithm (NSGA), achieving a threefold increase in the Pareto solution diversity under identical constraints and reducing the convergence time by 70%. These findings validate the effectiveness of asymmetric ply design and provide a robust framework for enhancing the structural performance and manufacturability of composite laminates. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 182445739 RelevancyScore: 984 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 983.695068359375 |
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| Items | – Name: Title Label: Title Group: Ti Data: Ply Optimization of Composite Laminates for Processing-Induced Deformation and Buckling Eigenvalues Based on Improved Genetic Algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Qingchuan%22">Liu, Qingchuan</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiaodong%22">Wang, Xiaodong</searchLink><br /><searchLink fieldCode="AR" term="%22Guan%2C+Zhidong%22">Guan, Zhidong</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Zengshan%22">Li, Zengshan</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Lingxiao%22">Yang, Lingxiao</searchLink> – Name: TitleSource Label: Source Group: Src Data: Materials (1996-1944); Jan2025, Vol. 18 Issue 2, p345, 25p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Strains+%26+stresses+%28Mechanics%29%22">Strains & stresses (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Thermosetting+composites%22">Thermosetting composites</searchLink><br /><searchLink fieldCode="DE" term="%22Residual+stresses%22">Residual stresses</searchLink><br /><searchLink fieldCode="DE" term="%22Composite+structures%22">Composite structures</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The structure of thermoset composite laminated plates is made by stacking layers of plies with different fiber orientations. Similarly, the stiffened panel structure is assembled from components with varying ply configurations, resulting in thermal residual stresses and processing-induced deformations (PIDs) during manufacturing. To mitigate the residual stresses caused by the geometric features of corner structures and the mismatch between the stiffener-skin ply orientations, which lead to PIDs in composite-stiffened panels, this study proposes a multi-objective stacking optimization strategy based on an improved adaptive genetic algorithm (IAGA). The viscoelastic constitutive model was employed to describe the modulus variation during the curing process to ensure computational accuracy. In this study, the IAGA was proposed to optimize the ply-stacking sequence of L-shaped stiffeners in composite laminated structures. The results demonstrate a reduction in the spring-in angle to 0.12°, a 50% improvement compared to symmetric balanced stacking designs, while the buckling eigenvalues were improved by 20%. Additionally, the IAGA outperformed the traditional non-dominated sorting genetic algorithm (NSGA), achieving a threefold increase in the Pareto solution diversity under identical constraints and reducing the convergence time by 70%. These findings validate the effectiveness of asymmetric ply design and provide a robust framework for enhancing the structural performance and manufacturability of composite laminates. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Materials (1996-1944) is the property of MDPI 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: 10.3390/ma18020345 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 345 Subjects: – SubjectFull: Strains & stresses (Mechanics) Type: general – SubjectFull: Thermosetting composites Type: general – SubjectFull: Residual stresses Type: general – SubjectFull: Composite structures Type: general – SubjectFull: Genetic algorithms Type: general Titles: – TitleFull: Ply Optimization of Composite Laminates for Processing-Induced Deformation and Buckling Eigenvalues Based on Improved Genetic Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Qingchuan – PersonEntity: Name: NameFull: Wang, Xiaodong – PersonEntity: Name: NameFull: Guan, Zhidong – PersonEntity: Name: NameFull: Li, Zengshan – PersonEntity: Name: NameFull: Yang, Lingxiao IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961944 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: Materials (1996-1944) Type: main |
| ResultId | 1 |