A Bayesian Optimization Study on the Mechanical Properties of Three-Layer Carbon Fiber Reinforced Epoxy Laminates Based on Genetic Algorithms

Bohao Yao; Zheng Miao

doi:10.54097/ktgzv560

Authors

Bohao Yao
Zheng Miao

DOI:

https://doi.org/10.54097/ktgzv560

Keywords:

Epoxy Resin Matrix Composites, Carbon Fiber, Response Surface Method, Bayesian Optimization, Genetic Algorithm.

Abstract

This paper is based on Abaqus-CAE simulation software to carry out research, with epoxy resin as matrix and carbon fiber as reinforcement material, to analyze the relationship between the ply layup angle of carbon fiber and the final composite material performance, to use design-expert software to carry out the experimental design, to innovatively combine the response surface method with the Bayesian optimization genetic algorithm, to obtain a regression model of the composite material performance and the interaction and coupling between the ply layup angle of carbon fiber, and finally, to use MATLAB to establish a Bayesian optimization genetic algorithm optimization model to realize the different angles of carbon fiber layup of epoxy composites. The regression model of composite material performance and carbon fiber layup angle, as well as the interactive coupling between multi-layer layup angle, finally, the Bayesian optimization genetic algorithm optimization model is established using MATLAB to realize the rapid optimization of carbon fiber layup parameters of epoxy composites with different angles, which provides theoretical support for the actual production of epoxy composites.

Downloads

Download data is not yet available.

References

[1] Xie WB. Study on the properties of high temperature resistant and flame retardant epoxy resin carbon fiber composites [J]. Composites Science and Engineering, 2024, (09):43-47.

[2] FENG Min, TIAN Tiebing, WANG Jin,et al. Curing reaction kinetics of epoxy resins for high-performance aerospace composites[J]. High-tech Fibers and Applications, 2024, 49(03):20-23.

[3] ASTM D7264/D7264M-21. Standard Test Method for Flexural Properties of Polymer Matrix Composite Materials[S]. West Conshohocken: ASTM International, 2021.

[4] SHENG Dongdong, SONG Zhenya, WANG Xixi,et al. Thermoplastic resin toughened epoxy resin and its application in aerospace[J]. Chemical New Materials, 2023, 51(S1):12-15.

[5] GAN Shunchang, ZENG Liang, JIANG Qinggeng, et al. Preparation of high toughness epoxy resin and its application in composites [J]. Engineering Plastics Application, 2025, 53(01):44-49.

[6] Toray Industries. T700S Data Sheet: High Strength Carbon Fiber [EB/OL]. (2022-05) [2023-10-01].

[7] Kim H, Park S. Effect of ozone oxidation on interfacial properties of carbon fiber/epoxy composites [J]. *Composites Science and Technology*, 2021, 215: 109012.

[8] Wang L, Zhang Y, et al. Plasma treatment optimization for enhancing interlaminar shear strength of CFRP [J]. *Polymer Testing*, 2020, 89: 106621.

[9] ZHANG Wencheng, XIE Huiming, PAN See. Establishment of a pretreatment process for crystallization of ginkgolides by supercritical CO2 using response surface method [J]. Food Science, 2006, 27(12): 123-128.

[10] YANG Qingxiao, GAO Hui, LIU Hua, et al. Factors affecting corrosion of N80 steel by air injection and response surface analysis[J]. Petroleum Planning and Design, 2019, 30(6): 45-50.

[11] HOU Xinyue, ZHANG Chenjun, TANG Lingdi, et al. Structural optimization of planetary gearbox housing for reel sprinkler based on response surface analysis [J]. Water Saving Irrigation, 2019, 44(11): 89-94.