工艺参数对增材制造连续纤维复合材料质量影响的实验和统计研究

IF 3.6 4区 材料科学 Q2 MATERIALS SCIENCE, COMPOSITES Journal of Thermoplastic Composite Materials Pub Date : 2024-03-22 DOI:10.1177/08927057241241504
Femi A Ibitoye, Donald W Radford
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引用次数: 0

摘要

目前正在进行的结构和工业应用增材制造研究促使人们使用混合粗纱作为制造原料,打印高纤维体积分数复合材料。考虑到将这种技术用于高性能应用的前景,有必要对加工参数对用混合粗纱原料印制的添加剂制造复合材料质量的影响进行全面的实验研究。在这项工作中,横向挠曲和空隙率基质热解测试都是为了评估复合材料的质量。横向挠曲测试是一种评估纤维-基质界面结合质量的测试方法,而空隙率测试则是对印刷复合材料中空隙含量的估算。我们进行了一项包含 27 种不同测试组合的全面观察研究,以调查三种不同工艺参数(即温度、压力和印刷速度)在三个不同水平上的影响。复合材料样品是使用内部制造的连续纤维复合材料数字制造系统,由 E 玻璃和无定形 PET 混合粗纱制成的。通过最小二乘法回归分析来研究工艺参数的主效应、交互效应和二次效应。通过横向挠曲研究生成了 R2 调整值为 80.1% 的统计回归模型,用于解释主要效应和交互效应,并预测性能。此外,还生成了响应面图,用于优化工艺参数,从而有助于扩大复合材料的生产规模。结果表明,所有三个工艺参数在 0.01 显著性水平上都具有高度统计学意义。压力 * 温度和压力 * 印刷速度是显著的交互项。当印刷速度提高或温度降低时,压力的作用更大,因为它可以封闭更多的空隙,而这些空隙通常是由于聚合物熔体粘度下降而产生的。此外,还进行了显微图像分析。
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Experimental and statistical study on the effect of process parameters on the quality of continuous fiber composites made via additive manufacturing
Ongoing research in additive manufacturing towards structural and industrial application has led to the use of commingled roving as a manufacturing feedstock for printing high fiber volume fraction composites. The prospects of using this technology for high performance applications necessitates the need for a comprehensive experimental investigation into the effects of processing parameters on the quality of an additively manufactured composite printed from commingled roving feedstock. In this work, transverse flexure and void fraction matrix pyrolysis testing are both performed to evaluate composite quality. The transverse flexure test is a testing approach that evaluates the quality of the interfacial fiber-matrix bond while the void fraction test estimates the void content in the printed composite. A full observational study consisting of 27 different test combinations is done to investigate the effects of three different process parameters namely, temperature, pressure, and print speed across three different levels. Composite samples were made from commingled roving of E-glass and amorphous PET using an in-house built continuous fiber composite digital manufacturing system. Least squares regression analysis is performed to study the main, interaction and quadratic effects of process parameters. A statistical regression model having an R2 adjusted value of 80.1% is generated from the transverse flexure study, which is used to explain main and interaction effects and also predict performance. Response surface plots are also generated and are used to optimize process parameters which can subsequently be of help in scaling up composite manufacturing. Results show that all three process parameters are highly statistically significant at the 0.01 level of significance. Pressure * Temperature and Pressure * Printspeed are significant interaction terms. Pressure plays a weightier role when print speed is increased or temperature is decreased as it closes more voids that would ordinarily have been introduced because of drop in polymer melt viscosity. Micrographic analysis is also performed.
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来源期刊
Journal of Thermoplastic Composite Materials
Journal of Thermoplastic Composite Materials 工程技术-材料科学:复合
CiteScore
8.00
自引率
18.20%
发文量
104
审稿时长
5.9 months
期刊介绍: The Journal of Thermoplastic Composite Materials is a fully peer-reviewed international journal that publishes original research and review articles on polymers, nanocomposites, and particulate-, discontinuous-, and continuous-fiber-reinforced materials in the areas of processing, materials science, mechanics, durability, design, non destructive evaluation and manufacturing science. This journal is a member of the Committee on Publication Ethics (COPE).
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