Academic Journal
Manufacturing Routes for Thermoplastic Composite Materials: Influence of Processing Parameters on Mechanical Properties and Environmental Sustainability.
| Τίτλος: | Manufacturing Routes for Thermoplastic Composite Materials: Influence of Processing Parameters on Mechanical Properties and Environmental Sustainability. |
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| Συγγραφείς: | Ramaiah, Gurumurthy B.1 (AUTHOR) voguru1@gmail.com |
| Πηγή: | Journal of Advanced Manufacturing Systems. Oct2026, p1-16. 16p. |
| Θεματικοί όροι: | *Composite material manufacturing, *Waste recycling, *Circular economy, Thermoplastic composites, Sustainability, Mechanical behavior of materials |
| Περίληψη: | The recyclable nature of thermoplastic fiber-reinforced composites and their potential for sustainable manufacturing have drawn a lot of interest. However, their high melt viscosity presents challenges in achieving effective fiber impregnation, often limiting mechanical performance. This study presents an optimized framework for manufacturing thermoplastic composites by systematically analyzing the influence of processing parameters on mechanical properties and environmental sustainability. The proposed approach integrates experimental design with a Multi-Term Physics-Informed Neural Network (MTPINN), which incorporates governing physical laws, including heat transfer, rheology, and void evolution, into the predictive modeling process. Composite systems based on polypropylene (PP), polyamide (PA), and polyether ether ketone (PEEK), reinforced with glass, carbon, and basalt fibers, are investigated across multiple manufacturing routes. The results demonstrate that optimized processing conditions significantly enhance mechanical performance while reducing energy consumption by up to 22%, corresponding to a substantial reduction in the carbon footprint of the manufacturing process. The MTPINN model achieves a prediction accuracy of 99.2% with a mean error of 1.4%, outperforming conventional data-driven approaches. Furthermore, thermoplastic composites retain more than 80% of their mechanical properties after multiple recycling cycles, supporting circular economy objectives. This work provides a comprehensive and scalable framework for optimizing thermoplastic composite manufacturing, balancing high performance with environmental sustainability. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Advanced Manufacturing Systems is the property of World Scientific Publishing Company 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.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsx DbLabel: Business Source Index An: 197611058 RelevancyScore: 1435 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1435 |
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| Items | – Name: Title Label: Title Group: Ti Data: Manufacturing Routes for Thermoplastic Composite Materials: Influence of Processing Parameters on Mechanical Properties and Environmental Sustainability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ramaiah%2C+Gurumurthy+B%2E%22">Ramaiah, Gurumurthy B.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> voguru1@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Advanced+Manufacturing+Systems%22">Journal of Advanced Manufacturing Systems</searchLink>. Oct2026, p1-16. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Composite+material+manufacturing%22">Composite material manufacturing</searchLink><br />*<searchLink fieldCode="DE" term="%22Waste+recycling%22">Waste recycling</searchLink><br />*<searchLink fieldCode="DE" term="%22Circular+economy%22">Circular economy</searchLink><br /><searchLink fieldCode="DE" term="%22Thermoplastic+composites%22">Thermoplastic composites</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The recyclable nature of thermoplastic fiber-reinforced composites and their potential for sustainable manufacturing have drawn a lot of interest. However, their high melt viscosity presents challenges in achieving effective fiber impregnation, often limiting mechanical performance. This study presents an optimized framework for manufacturing thermoplastic composites by systematically analyzing the influence of processing parameters on mechanical properties and environmental sustainability. The proposed approach integrates experimental design with a Multi-Term Physics-Informed Neural Network (MTPINN), which incorporates governing physical laws, including heat transfer, rheology, and void evolution, into the predictive modeling process. Composite systems based on polypropylene (PP), polyamide (PA), and polyether ether ketone (PEEK), reinforced with glass, carbon, and basalt fibers, are investigated across multiple manufacturing routes. The results demonstrate that optimized processing conditions significantly enhance mechanical performance while reducing energy consumption by up to 22%, corresponding to a substantial reduction in the carbon footprint of the manufacturing process. The MTPINN model achieves a prediction accuracy of 99.2% with a mean error of 1.4%, outperforming conventional data-driven approaches. Furthermore, thermoplastic composites retain more than 80% of their mechanical properties after multiple recycling cycles, supporting circular economy objectives. This work provides a comprehensive and scalable framework for optimizing thermoplastic composite manufacturing, balancing high performance with environmental sustainability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Advanced Manufacturing Systems is the property of World Scientific Publishing Company 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: 10.1142/s0219686728500357 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Composite material manufacturing Type: general – SubjectFull: Waste recycling Type: general – SubjectFull: Circular economy Type: general – SubjectFull: Thermoplastic composites Type: general – SubjectFull: Sustainability Type: general – SubjectFull: Mechanical behavior of materials Type: general Titles: – TitleFull: Manufacturing Routes for Thermoplastic Composite Materials: Influence of Processing Parameters on Mechanical Properties and Environmental Sustainability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ramaiah, Gurumurthy B. IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 10 Text: Oct2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02196867 Titles: – TitleFull: Journal of Advanced Manufacturing Systems Type: main |
| ResultId | 1 |