Modelling and Optimisation of FDM-Printed Short Carbon Fibre-Reinforced Nylon Using CCF and RSM.

IF 4.7 3区 工程技术 Q1 POLYMER SCIENCE
Polymers Pub Date : 2025-07-04 DOI:10.3390/polym17131872
Qibin Fang, Jing Yu, Bowen Shi
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引用次数: 0

Abstract

Nylon reinforced with short carbon fibres exhibits superior mechanical properties. Its use as a feedstock for fused deposition modelling (FDM) can extend its applications to consumer goods and industrial products. To investigate the flexural and impact properties of the FDM-printed short carbon fibre-reinforced nylon, a central composite face-centred (CCF) design with four factors and three levels and the response surface method (RSM) were employed. The four primary process parameters are the extrusion and bed temperatures, printing speed, and layer thickness. The three investigated responses were the flexural strength, flexural modulus, and impact strength. Perturbation curves and contour plots were used to analyse the influences of the individual and two-way interactions of the response parameters, respectively. Second-order statistical models were constructed to predict and optimise the mechanical properties. The optimal comprehensive mechanical properties were determined using a desirability function combined with the entropy weighting method. The predicted results of best comprehensive mechanical properties are 169.881 MPa for the flexural strength, 9249.11 MPa for the flexural modulus, and 29.659 kJ∙m-2 for the impact strength, achieved under the parameter combination of extrusion temperature of 318 °C, bed temperature of 90 °C, printing speed of 30 mm∙s-1, and layer thickness of 0.1 mm. A small deviation between the predicted and experimental results indicated the high reliability of the proposed method. The optimal outcomes under the studied parameters showed higher robustness and integrity than previously reported results.

基于CCF和RSM的fdm打印短碳纤维增强尼龙的建模与优化。
短碳纤维增强尼龙具有优异的机械性能。它作为熔融沉积建模(FDM)的原料可以扩展其应用到消费品和工业产品。为了研究fdm打印短碳纤维增强尼龙的弯曲和冲击性能,采用四因素三水平的中心复合面心(CCF)设计和响应面法(RSM)。四个主要工艺参数是挤出和床层温度、打印速度和层厚。三个调查响应是抗弯强度,抗弯模量和冲击强度。采用摄动曲线和等值线图分别分析了响应参数的个体和双向相互作用的影响。建立了二阶统计模型来预测和优化材料的力学性能。采用期望函数法结合熵权法确定了最优综合力学性能。在挤压温度为318℃、床层温度为90℃、打印速度为30 mm∙s-1、层厚为0.1 mm的参数组合下,预测的最佳综合力学性能为抗弯强度为169.881 MPa、抗弯模量为9249.11 MPa、冲击强度为29.659 kJ∙m-2。预测结果与实验结果偏差较小,表明该方法具有较高的可靠性。在研究参数下的最佳结果比先前报道的结果具有更高的鲁棒性和完整性。
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来源期刊
Polymers
Polymers POLYMER SCIENCE-
CiteScore
8.00
自引率
16.00%
发文量
4697
审稿时长
1.3 months
期刊介绍: Polymers (ISSN 2073-4360) is an international, open access journal of polymer science. It publishes research papers, short communications and review papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Polymers provides an interdisciplinary forum for publishing papers which advance the fields of (i) polymerization methods, (ii) theory, simulation, and modeling, (iii) understanding of new physical phenomena, (iv) advances in characterization techniques, and (v) harnessing of self-assembly and biological strategies for producing complex multifunctional structures.
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