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Optimizaition for formability of plain woven carbon fiber fabrics
International Journal of Mechanical Sciences ( IF 7.3 ) Pub Date : 2021-01-29 , DOI: 10.1016/j.ijmecsci.2021.106318
Zhen Wang , Hui Xie , Quantian Luo , Qing Li , Guangyong Sun

How to take full advantages of the strong designability of plain woven carbon fiber fabric is a key problem urgently needed to be solved in the application of plain woven carbon fiber fabric reinforced thermoplastics (PW-CFRTPs). This study explored formability of plain woven carbon fiber fabric experimentally and numerically through stamping process, and attempted to develop efficient multiobjective optimization for further improving formability of plain woven carbon fiber fabric. First, the mechanical properties and formability of the carbon fiber fabric were characterized using the experimental tests, and then the finite element (FE) analysis involving the hypoelastic constitutive model was carried out to capture non-orthogonal behaviors of the fabric. Second, influences of blank holding force as well as blank holding area (BHA) on the formability of the fabric were investigated, and the forming characteristics including shear angle distribution, wrinkling strain and draw-in features were analyzed using the validated finite element model. Finally, a global multiobjective optimization algorithm based upon the Kriging Believer strategy was employed to optimize the formability of the fabric. The results indicated that the wrinkling strain along fiber increased with increasing shear angle; and the formability of carbon fiber fabric was largely improved through the optimization in comparison with the baseline design.



中文翻译:

优化平纹碳纤维织物的可成形性

如何充分利用平纹碳纤维织物的强设计性是在平纹碳纤维织物增强的热塑性塑料(PW-CFRTPs)的应用中迫切需要解决的关键问题。本研究通过冲压工艺实验和数值研究了平纹碳纤维织物的可成形性,并试图开发有效的多目标优化方法,以进一步提高平纹碳纤维织物的可成形性。首先,通过实验测试表征了碳纤维织物的力学性能和可成型性,然后进行了包含次弹性本构模型的有限元分析,以捕获碳纤维织物的非正交特性。第二,研究了坯料夹持力以及坯料夹持面积(BHA)对织物成形性的影响,并使用验证的有限元模型分析了成形特性,包括剪切角分布,起皱应变和牵伸特性。最后,采用了基于克立金信使策略的全局多目标优化算法来优化织物的可成形性。结果表明,沿纤维的起皱应变随着剪切角的增加而增加;与基准设计相比,通过优化,碳纤维织物的可成型性得到了很大的改善。使用经过验证的有限元模型分析了皱纹应变和拉入特征。最后,采用了基于克立金信使策略的全局多目标优化算法来优化织物的可成形性。结果表明,沿纤维的起皱应变随着剪切角的增加而增加;与基准设计相比,通过优化,碳纤维织物的可成型性得到了很大的改善。使用经过验证的有限元模型分析了皱纹应变和拉入特征。最后,采用了基于克立金信使策略的全局多目标优化算法来优化织物的可成形性。结果表明,沿纤维的起皱应变随着剪切角的增加而增加;与基准设计相比,通过优化,碳纤维织物的可成型性得到了很大的改善。

更新日期:2021-02-17
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