研究利用熔融沉积建模技术印制的轨道的表面、几何形状和融合度,以优化中尺度聚合物材料的工艺参数

F. Mwania, M. Maringa, J. Nsengimana, Jacobus van der Walt
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摘要

目前的分析旨在研究通过熔融沉积建模(FDM)使用 PolyMideTM CoPA、PolymaxTM PC 和 PolyMideTM PA6-CF 材料打印的轨道的表面质量和几何形状。设计/方法/步骤使用扫描电子显微镜(SEM)获取相邻长丝的融合图像,然后使用 Image J 软件和 Minitab 软件进行分析,以确定最佳工艺参数。研究结果 PolyMideTM CoPA 的最佳工艺参数分别为 0.25 毫米、40 毫米/秒、-0.10 毫米、255°C 和 0.50 毫米(层厚度、印刷速度、舱口间距、挤出温度和挤出宽度)。研究还得出结论,PolymaxTM PC 的最佳工艺参数分别为 0.30 毫米、40 毫米/秒、0.00 毫米、260°C 和 0.6 毫米(层厚、印刷速度、舱口间距、挤出温度和挤出宽度)。研究的局限性/意义使用 PolyMideTM PA6-CF 打印的轨道很难与支撑结构分离,因此无法使用扫描电镜检查和确定它们的融合程度。本研究提供的信息有助于该技术的持续推广,从而有助于创造就业机会,尤其是为年轻人和年轻工程师创造就业机会。
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Investigating surfaces, geometry and degree of fusion of tracks printed using fused deposition modelling to optimise process parameters for polymeric materials at meso-scale
Purpose The current analysis was conducted to investigate the quality of surfaces and geometry of tracks printed using PolyMideTM CoPA, PolymaxTM PC and PolyMideTM PA6-CF materials through fused deposition modelling (FDM). This study also examined the degree of fusion of adjacent filaments (tracks) to approximate the optimal process parameters of the three materials. Design/methodology/approach Images of fused adjacent filaments were acquired using scanning electron microscopy (SEM), after which, they were analysed using Image J Software and Minitab Software to determine the optimal process parameters. Findings The optimal process parameters for PolyMideTM CoPA are 0.25 mm, 40 mm/s, −0.10 mm, 255°C and 0.50 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively. It was also concluded that the optimal process parameters for PolymaxTM PC are 0.30 mm, 40 mm/s, 0.00 mm, 260°C and 0.6 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively. Research limitations/implications It was difficult to separate tracks printed using PolyMideTM PA6-CF from the support structure, making it impossible to examine and determine their degree of fusion using SEM. Social implications The study provides more knowledge on FDM, which is one of the leading additive manufacturing technology for polymers. The information provided in this study helps in continued uptake of the technique, which can help create job opportunities, especially among the youth and young engineers. Originality/value This study proposes a new and a more accurate method for optimising process parameters of FDM at meso-scale level.
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