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The use of statistical techniques to study the machine parameters affecting the properties of 3D printed cotton/polylactic acid fabrics
Journal of Engineered Fibers and Fabrics ( IF 2.2 ) Pub Date : 2020-01-01 , DOI: 10.1177/1558925020928531
Nonsikelelo Sheron Mpofu 1, 2 , Josphat Igadwa Mwasiagi 1 , Londiwe Cynthia Nkiwane 3 , David Njuguna Githinji 1, 2
Affiliation  

Textile materials have been combined with polymers using 3D printing technology, thus producing structures with novel properties. The aim of this study was to use statistical methods to determine the effect of 3D printing machine parameters on the mechanical properties of cotton fabrics combined with polylactic acid. Polylactic acid was printed on a cotton fabric using an Athena Fused Deposition Modelling 3D printer. The effect of extrusion temperature, printing speed, fill density and model height on adhesion force before and after washing was investigated. A study of the tensile strength was also undertaken using a central composite rotatable design and regression analysis. The experimental data were used to develop regression models to predict the properties of the cotton/ polylactic acid structures. The model for adhesion force before washing yielded a coefficient of determination (R2) value of 0.75 and an optimum adhesion force of 50.06 N/cm. The model for adhesion force had an R2 value of 0.84 and an optimum adhesion force of 42.91 N/cm and showed that adhesion force reduced after washing. Adhesion forces before and after washing were both positively correlated to extrusion temperature. However, they reduced with an increase in printing speed and model height. A positive correlation exists between tensile strength and temperature, while a negative correlation exists between tensile strength and printing speed and model height. From the results of this study, it was concluded that 3D printing parameters have an effect on the properties of the structures.

中文翻译:

使用统计技术研究影响 3D 打印棉/聚乳酸织物性能的机器参数

纺织材料已使用 3D 打印技术与聚合物结合,从而产生具有新特性的结构。本研究的目的是使用统计方法来确定 3D 打印机参数对与聚乳酸结合的棉织物力学性能的影响。使用 Athena Fused Deposition Modeling 3D 打印机将聚乳酸打印在棉织物上。研究了挤压温度、印刷速度、填充密度和模型高度对洗涤前后粘附力的影响。还使用中心复合材料可旋转设计和回归分析对拉伸强度进行了研究。实验数据用于开发回归模型以预测棉/聚乳酸结构的特性。洗涤前粘附力模型得出的决定系数 (R2) 值为 0.75,最佳粘附力为 50.06 N/cm。附着力模型的 R2 值为 0.84,最佳附着力为 42.91 N/cm,表明洗涤后附着力降低。洗涤前后的附着力均与挤出温度呈正相关。然而,它们随着打印速度和模型高度的增加而减少。抗拉强度与温度呈正相关,抗拉强度与打印速度和模型高度呈负相关。从这项研究的结果可以得出结论,3D 打印参数对结构的性能有影响。75 和 50.06 N/cm 的最佳附着力。附着力模型的 R2 值为 0.84,最佳附着力为 42.91 N/cm,表明洗涤后附着力降低。洗涤前后的附着力均与挤出温度呈正相关。但是,它们随着打印速度和模型高度的增加而减少。抗拉强度与温度呈正相关,抗拉强度与打印速度和模型高度呈负相关。从这项研究的结果可以得出结论,3D 打印参数对结构的性能有影响。75 和 50.06 N/cm 的最佳附着力。附着力模型的 R2 值为 0.84,最佳附着力为 42.91 N/cm,表明洗涤后附着力降低。洗涤前后的附着力均与挤出温度呈正相关。但是,它们随着打印速度和模型高度的增加而减少。抗拉强度与温度呈正相关,抗拉强度与打印速度和模型高度呈负相关。从这项研究的结果可以得出结论,3D 打印参数对结构的性能有影响。洗涤前后的附着力均与挤出温度呈正相关。然而,它们随着打印速度和模型高度的增加而减少。抗拉强度与温度呈正相关,抗拉强度与打印速度和模型高度呈负相关。从这项研究的结果可以得出结论,3D 打印参数对结构的性能有影响。洗涤前后的附着力均与挤出温度呈正相关。然而,它们随着打印速度和模型高度的增加而减少。抗拉强度与温度呈正相关,抗拉强度与打印速度和模型高度呈负相关。从这项研究的结果可以得出结论,3D 打印参数对结构的性能有影响。
更新日期:2020-01-01
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