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dc.creatorAslani K.-E., Vakouftsi F., Kechagias J.D., Mastorakis N.E.en
dc.date.accessioned2023-01-31T07:33:35Z
dc.date.available2023-01-31T07:33:35Z
dc.date.issued2019
dc.identifier10.1109/ICCAIRO47923.2019.00041
dc.identifier.isbn9781728135724
dc.identifier.urihttp://hdl.handle.net/11615/70867
dc.description.abstractIn 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. © 2019 IEEE.en
dc.language.isoenen
dc.sourceProceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083652789&doi=10.1109%2fICCAIRO47923.2019.00041&partnerID=40&md5=1a946338ff5e4a6454e361a169988ea1
dc.subject3D printersen
dc.subjectAgricultural robotsen
dc.subjectDesign of experimentsen
dc.subjectRoboticsen
dc.subjectTaguchi methodsen
dc.subjectTexturesen
dc.subjectAnalysis of meansen
dc.subjectDominant factoren
dc.subjectOptimization studiesen
dc.subjectOrthogonal arrayen
dc.subjectProcess parametersen
dc.subjectSurface finishesen
dc.subjectSurface roughness parametersen
dc.subjectSurface texturesen
dc.subjectSurface roughnessen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleSurface Roughness Optimization of Poly-Jet 3D Printing Using Grey Taguchi Methoden
dc.typeconferenceItemen


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