Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis
Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis
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DOI：
10.3390/jmmp4020047
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发表时间：
2020-06-01
影响因子：
3.2
通讯作者：
Salonitis, Konstantinos
中科院分区：
文献类型：
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作者：
Aslani, Kyriaki-Evangelia;Chaidas, Dimitrios;Salonitis, Konstantinos
本文研究了FDM 3D打印薄壁模型的质量性能。采用实验设计方法（DOE），在低成本的3D打印机上使用聚乳酸（PLA）材料制作了9个相同尺寸的模型。考虑了两个有限的研究参数（浸提温度和壁厚），每个参数有三个水平。使用千分尺测量外部X和Y尺寸，以及使用表面测试仪测量四个表面粗糙度参数（Ra、Rz、Rt、Rsm）。两种优化技术（田口方法和灰色关联分析）被用来沿着与统计分析，以检查如何温度和壁厚影响的尺寸精度和表面质量的零件。结果表明，高提取温度和壁厚中值优化尺寸精度和表面粗糙度，而温度是最重要的因素。
This paper investigates the quality performance of FDM 3D printed models with thin walls. The design of experiments method (DOE) was used and nine models of the same size were fabricated in a low-cost 3D printer using polylactic acid (PLA) material. Two limited studied parameters were considered (extraction temperature and wall thickness), each one having three levels. External X and Y dimensions were measured using a micrometer, as well as four surface roughness parameters (Ra, Rz, Rt, Rsm) with a surface tester. Two optimization techniques (the Taguchi approach and Grey relational analysis) were utilized along with statistical analysis to examine how the temperature and wall thickness affect the dimensional accuracy and the surface quality of the parts. The results showed that high extraction temperature and median wall thickness values optimize both dimensional accuracy and surface roughness, while temperature is the most important factor.