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Elastic properties and multi-scale design of long carbon fiber nonwoven reinforced plane-based isotropic composite
Composite Structures ( IF 6.3 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.compstruct.2020.112657
Z.C. He , X. Shi , Eric Li , X.K. Li

Abstract Carbon fiber reinforced composite is considered as a potential substitutes used in the lightweight of automotive engineering. Nevertheless, the high price and complicated manufacturing process remain challenges for the large-scale application of conventional carbon fibers. In this study, a novel plane isotropic composite reinforced by long carbon fiber non-woven is introduced, which overcomes the obstacles in the application of carbon fiber at present. A multi-scale optimization method is proposed to realize the performance optimization and lightweight design of composite components. The linear elastic properties of long carbon fiber non-woven composite (LCFNC) were studied experimentally and analytically. The predictions of homogenization theory were found to be very similar to the experimental results within an interval of volume fraction. Then the relationship between microstructure and material performance was evaluated in detail. The results showed that there is a critical point for the influence of aspect ratio to the material properties. Thirdly, thickness of LCFNC at macro scales and the fiber parameters at micro scales were simultaneously optimized by Non-dominated sorting genetic algorithm-II (NSGA- II) to enforce multi-objective optimization design. Finally, the lightweight design of automobile hood was performed by the LCFNC and the proposed method. The results showed that the weight of automobile hood was reduced by 37%, while exhibiting better stiffness and strength performance compared with the conventional steel.

中文翻译:

长碳纤维非织造布增强平面基各向同性复合材料的弹性性能及多尺度设计

摘要 碳纤维增强复合材料被认为是汽车工程轻量化的潜在替代品。然而,高昂的价格和复杂的制造工艺仍然是传统碳纤维大规模应用的挑战。本研究介绍了一种新型的长碳纤维无纺布增强的平面各向同性复合材料,克服了目前碳纤维应用中的障碍。提出了一种多尺度优化方法来实现复合材料部件的性能优化和轻量化设计。通过实验和分析研究了长碳纤维非织造复合材料(LCFNC)的线弹性性能。发现均匀化理论的预测与体积分数区间内的实验结果非常相似。然后详细评估了微观结构与材料性能之间的关系。结果表明,纵横比对材料性能的影响存在一个临界点。第三,通过非支配排序遗传算法-II(NSGA-II)同时优化宏观尺度的LCFNC厚度和微观尺度的纤维参数,以加强多目标优化设计。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。然后详细评估了微观结构与材料性能之间的关系。结果表明,纵横比对材料性能的影响存在一个临界点。第三,通过非支配排序遗传算法-II(NSGA-II)同时优化宏观尺度的LCFNC厚度和微观尺度的纤维参数,以加强多目标优化设计。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。然后详细评估了微观结构与材料性能之间的关系。结果表明,纵横比对材料性能的影响存在一个临界点。第三,通过非支配排序遗传算法-II(NSGA-II)同时优化宏观尺度的LCFNC厚度和微观尺度的纤维参数,以加强多目标优化设计。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。结果表明,纵横比对材料性能的影响存在一个临界点。第三,通过非支配排序遗传算法-II(NSGA-II)同时优化宏观尺度的LCFNC厚度和微观尺度的纤维参数,以加强多目标优化设计。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。结果表明,纵横比对材料性能的影响存在一个临界点。第三,通过非支配排序遗传算法-II(NSGA-II)同时优化宏观尺度的LCFNC厚度和微观尺度的纤维参数,以加强多目标优化设计。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。最后,通过LCFNC和所提出的方法进行了汽车发动机罩的轻量化设计。结果表明,与传统钢材相比,汽车发动机罩的重量减轻了37%,同时表现出更好的刚度和强度性能。
更新日期:2020-11-01
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