Optimization and integration of polymer composites manufacturing powered by artificial intelligence

Zijie Wu , Yufan Yang , Jie Hao , Constantinos Soutis

Front. Chem. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 121

PDF (941KB)
Front. Chem. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 121 DOI: 10.1007/s11705-026-2637-7
VIEWS & COMMENTS

Optimization and integration of polymer composites manufacturing powered by artificial intelligence

Author information +
History +
PDF (941KB)

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.

Graphical abstract

Keywords

polymer composites / artificial intelligence / process integration

Cite this article

Download citation ▾
Zijie Wu, Yufan Yang, Jie Hao, Constantinos Soutis. Optimization and integration of polymer composites manufacturing powered by artificial intelligence. Front. Chem. Sci. Eng., 2025, 19(12): 121 DOI:10.1007/s11705-026-2637-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Pervaiz M , Panthapulakkal S , Sain M , Tjong J . Emerging trends in automotive lightweighting through novel composite materials. Materials Sciences and Applications, 2016, 7(1): 26–38

[2]

Patel M , Pardhi B , Chopara S , Pal M . Lightweight composite materials for automotive: a review. Carbon, 2018, 5(11): 41–47

[3]

Yao S S , Jin F L , Rhee K Y , Hui D , Park S J . Recent advances in carbon-fiber-reinforced thermoplastic composites: a review. Composites Part B: Engineering, 2018, 142: 241–250

[4]

Soutis C . Carbon fiber reinforced plastics in aircraft construction. Materials Science and Engineering A, 2005, 412(1): 171–176

[5]

Dominy J . Structural composites in civil gas turbine aero engines. Composites Manufacturing, 1994, 5(2): 69–72

[6]

Rezaei F , Yunus R , Ibrahim N , Mahdi E . Development of short-carbon-fiber-reinforced polypropylene composite for car bonnet. Polymer-Plastics Technology and Engineering, 2008, 47(4): 351–357

[7]

Jeon S H , Chung C H , Kim H M , Han W H , Jung I E , Choi B H . Characterization of an injection-moulded car audio chassis made of polycarbonate-(acrylonitrile-butadiene-styrene)-based composite using metal-coated carbon fibre. Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 2012, 226(7): 881–894

[8]

Miranda Campos B , Bourbigot S , Fontaine G , Bonnet F . Thermoplastic matrix-based composites produced by resin transfer molding: a review. Polymer Composites, 2022, 43(5): 2485–2506

[9]

Zhou S , Hrymak A N . Injection molding of polymers and polymer composites. Polymers, 2024, 16(13): 1796

[10]

Das T K , Ghosh P , Das N C . Preparation, development, outcomes, and application versatility of carbon fiber-based polymer composites: a review. Advanced Composites and Hybrid Materials, 2019, 2(2): 214–233

[11]

Sánchez D M , Gresil M , Soutis C . Distributed internal strain measurement during composite manufacturing using optical fibre sensors. Composites Science and Technology, 2015, 120: 49–57

[12]

Chen Y , Zhang J , Li Z , Zhang H , Chen J , Yang W , Yu T , Liu W , Li Y . Manufacturing technology of lightweight fiber-reinforced composite structures in aerospace: current situation and toward intellectualization. Aerospace, 2023, 10(3): 206

[13]

Sencu R M , Yang Z , Wang Y C , Withers P J , Soutis C . Multiscale image-based modelling of damage and fracture in carbon fibre reinforced polymer composites. Composites Science and Technology, 2020, 198: 108243

[14]

Boon Y D , Joshi S C , Bhudolia S K . Review: filament winding and automated fiber placement with in situ consolidation for fiber reinforced thermoplastic polymer composites. Polymers, 2021, 13(12): 1951

[15]

Humfeld K D , Kim G Y , Jeon J H , Hoffman J , Brown A , Colton J , Melkote S , Nguyen V . Co-training of multiple neural networks for simultaneous optimization and training of physics-informed neural networks for composite curing. Composites Part A: Applied Science and Manufacturing, 2025, 193: 108820

[16]

Fontes A , Shadmehri F . Data-driven thermal modeling of in-situ automated fiber placement. Composites Part A: Applied Science and Manufacturing, 2024, 186: 108379

[17]

Feng Y , Han Z , Liu M , Zhang W . Multiscale modeling for viscoelasticity of woven CFRP considering preforming and curing effects via finite element and long-short term memory analysis. Composites Part A: Applied Science and Manufacturing, 2024, 186: 108397

[18]

Li Z , Meng Z , Liu J , Soutis C , Gibson A . Machine learning-enabled thickness estimation of thin coatings on carbon fibre composites using microwaves. Measurement Science & Technology, 2023, 34(12): 124003

[19]

Alotaibi H , Soutis C , Zhang D , Jabbari M . A numerical framework of simulating flow-induced deformation during liquid composite moulding. Journal of Composites Science, 2024, 8(10): 401

[20]

Wang Y , Soutis C , Ando D , Sutou Y , Narita F . Application of deep neural network learning in composites design. European Journal of Materials, 2022, 2(1): 117–170

[21]

Priyadharshini M , Balaji D , Bhuvaneswari V , Rajeshkumar L , Sanjay M R , Siengchin S . Fiber reinforced composite manufacturing with the aid of artificial intelligence—a state-of-the-art review. Archives of Computational Methods in Engineering, 2022, 29(7): 5511–5524

[22]

Humfeld K , Zobeiry N . Machine learning-based process simulation approach for real-time optimization and active control of composites autoclave processing. In: Proceedings of Society for the Advancement of Material and Process Engineering. Covina: SAMPE, 2021,

[23]

Lafranche E , Renault T , Krawczak P . Effect of the interdiffusion at the polymer/polymer interface on the flexural properties of over-moulded short glass fibre/glass fabric reinforced PA6 composites. Key Engineering Materials, 2014, 611: 821–828

[24]

Deng T , Huang Z , Zheng B , Jiang W , Chen L , Chen C , Zhou H , Zhou H . Bond strength and bond mechanism of injection over-molded woven carbon fiber/PEEK-short carbon fiber/PEEK composite components. Journal of Applied Polymer Science, 2022, 139(48): e53222

[25]

Liebsch A , Koshukow W , Gebauer J , Kupfer R , Gude M . Overmoulding of consolidated fibre-reinforced thermoplastics-increasing the bonding strength by physical surface pre-treatments. Procedia CIRP, 2019, 85: 212–217

RIGHTS & PERMISSIONS

The Author(s) 2025. This article is published with open access at link.springer.com and journal.hep.com.cn

AI Summary AI Mindmap
PDF (941KB)

189

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/