Optimization and integration of polymer composites manufacturing powered by artificial intelligence

Abstract Polymer composite materials, known for their high specific strength and stiffness, are gradually attracting wider attention in the context of product weight reduction and environmental protection with embedded functionality (smart composites). This article provides practical examples and discusses future development trends of polymer composites fabrication, offering feasible ideas and methods for future economically viable engineering applications, where artificial intelligence can be used as an optimization tool.

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Publication Details

Journal
Frontiers of Chemical Science and Engineering
Published
2025-11-25
DOI
https://doi.org/10.1007/s11705-026-2637-7
Citations
1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.52
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article

Optimization and integration of polymer composites manufacturing powered by artificial intelligence

1 citations
Frontiers of Chemical Science and Engineering
Machine Learning in Materials Science
0.52
article

Optimization and integration of polymer composites manufacturing powered by artificial intelligence

article en
1 citations

Abstract

Abstract Polymer composite materials, known for their high specific strength and stiffness, are gradually attracting wider attention in the context of product weight reduction and environmental protection with embedded functionality (smart composites). This article provides practical examples and discusses future development trends of polymer composites fabrication, offering feasible ideas and methods for future economically viable engineering applications, where artificial intelligence can be used as an optimization tool.

Frontiers of Chemical Science and EngineeringVol. 19(12)
Pingdingshan University (CN), University of Manchester (GB), Aerospace Research Institute of Materials and Processing Technology (CN)
Responsible consumption and production
Openalex Percentile: Top 29%
Machine Learning in Materials Science
0.52
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