考虑温度效应的干纤维预制体压缩蠕变模型
收稿日期: 2023-02-01
修回日期: 2023-02-20
录用日期: 2023-03-15
网络出版日期: 2023-03-21
基金资助
中央高校基本科研业务费(D5000220202);陕西省重点研发计划(2020ZDGY01-01)
Compression creep model of dry fiber preform considering temperature effect
Received date: 2023-02-01
Revised date: 2023-02-20
Accepted date: 2023-03-15
Online published: 2023-03-21
Supported by
Fundamental Research Funds for the Central Universities(D5000220202);Key Research and Development Program of Shaanxi Province(2020ZDGY01-01)
纤维织物预制体蠕变/回复行为的描述对于模拟复合材料的制造过程至关重要。为分析与预测CF3031干纤维预制体在预成型过程中的厚向变形行为,进行了干纤维预制体的蠕变/回复实验,并对实验结果进行计算分析,建立了材料本构模型。首先,采用最小二乘法原理和叠加原理对比分析不同蠕变计算模型对CF3031干纤维预制体蠕变/回复实验数据的蠕变部分及整体拟合效果。结果表明,Burgers模型整体计算效果优于其他模型。而后,在传统Burgers模型的基础上,提出了1个单方程形式且适用于不同的蠕变应力和预成型温度的材料模型,用于描述干纤维织物预制件时间依赖性的厚向蠕变/回复行为。模型系数根据实验数据分析及最小二乘法获取。最后,将建立的本构模型用于预测新设计的实验结果,结果显示实验曲线与模型预测曲线基本吻合,证明了该方法的有效性。
司衍鹏 , 孙立帅 , 闫恩玮 , 李玉军 , 蒋建军 . 考虑温度效应的干纤维预制体压缩蠕变模型[J]. 航空学报, 2023 , 44(22) : 428513 -428513 . DOI: 10.7527/S1000-6893.2023.28513
The description of the creep/recovery behavior of the fiber fabric preform is crucial for modeling the production of composite materials. The creep/recovery experiment of the CF3031 dry fiber preform was carried out, the experimental results were calculated and analyzed, and the material constitutive model was established to analyze and predict the thick deformation behavior of the CF3031 dry fiber preform in the preforming process. To evaluate and analyze the creep component and overall fitting impact of several creep calculation models on the creep/recovery test data of the CF3031 dry fiber preform, the least square method principle and the superposition principle are first utilized. The findings demonstrate that Burgers model is superior to other models. Then, a single equation material model suited for various creep stresses and preform temperatures is presented to describe the time-dependent thick creep/recovery behavior of dry fiber fabric preforms on the foundation of the conventional Burgers model. The least squares approach and analysis of experimental data were used to derive the model coefficients. The results show that the experimental and model prediction curves are essentially consistent, demonstrating the efficiency of the procedure. Finally, the experimental outcomes of the new design are predicted using the constitutive model developed in this research. The findings demonstrate the usefulness of this approach by demonstrating that the experimental curve is essentially compatible with the model prediction curve.
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