K. Aslani, F. Vakouftsi, John (Ioannis) D. Kechagias, N. Mastorakis
{"title":"Surface Roughness Optimization of Poly-Jet 3D Printing Using Grey Taguchi Method","authors":"K. Aslani, F. Vakouftsi, John (Ioannis) D. Kechagias, N. Mastorakis","doi":"10.1109/ICCAIRO47923.2019.00041","DOIUrl":null,"url":null,"abstract":"In the current study, the surface finish of specimens fabricated with PolyJet 3D Printing Direct process is discussed. Three surface roughness indicators were measured at three positions, while three process parameters namely layer thickness, build style and scale were examined. An L4 orthogonal array was employed for the design of experiments. Grey-Taguchi method was applied in order to optimize all surface roughness parameters. The effect of each parameter has been investigated using ANOM (Analysis of Means), while ANOVA (Analysis of Variances) has been performed to identify each parameter importance onto the surface texture. Additionally, the findings of this study were compared with the results of a similar optimization study conducted before, using the usual Taguchi method. It was concluded that 16 µm of layer thickness and glossy style provide the optimum surface roughness results, while built style is the most dominant factor. All the results of the Grey Taguchi method are compatible with the ones of the usual Taguchi method.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIRO47923.2019.00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In the current study, the surface finish of specimens fabricated with PolyJet 3D Printing Direct process is discussed. Three surface roughness indicators were measured at three positions, while three process parameters namely layer thickness, build style and scale were examined. An L4 orthogonal array was employed for the design of experiments. Grey-Taguchi method was applied in order to optimize all surface roughness parameters. The effect of each parameter has been investigated using ANOM (Analysis of Means), while ANOVA (Analysis of Variances) has been performed to identify each parameter importance onto the surface texture. Additionally, the findings of this study were compared with the results of a similar optimization study conducted before, using the usual Taguchi method. It was concluded that 16 µm of layer thickness and glossy style provide the optimum surface roughness results, while built style is the most dominant factor. All the results of the Grey Taguchi method are compatible with the ones of the usual Taguchi method.
本研究主要讨论了PolyJet 3D Printing Direct工艺制备样品的表面光洁度。在三个位置测量了三个表面粗糙度指标,同时检查了三个工艺参数,即层厚,构建风格和尺度。采用L4正交阵列进行试验设计。采用灰色田口法对各表面粗糙度参数进行优化。使用ANOM(均值分析)研究了每个参数的影响,而使用ANOVA(方差分析)来确定每个参数对表面纹理的重要性。此外,本研究的结果与之前使用常用的田口方法进行的类似优化研究的结果进行了比较。结果表明,16µm的层厚和光面样式提供了最佳的表面粗糙度结果,而构造样式是最主要的因素。灰色田口法的结果与常用田口法的结果基本一致。