Browsing by Author "Aslani, Kyriaki-Evangelia"
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Item Open Access Impact of process parameters on dimensional accuracy of PolyJet 3D printed parts using grey Taguchi method(EDP Sciences, 2020-08-14) Aslani, Kyriaki-Evangelia; Korlos, Apostolos; Kechagias, John D.; Salonitis, KonstantinosIn this study, the dimensional accuracy of parts fabricated with PolyJet 3D Printing Direct process is investigated. An L4 orthogonal array was utilized as the design of experiments, while the process parameters examined are layer thickness, build style and scale. A simple prototype was proposed and specified external and internal dimensions were measured using a digital vernier calliper. Grey-Taguchi method was applied for optimizing all dimensional measurements. The effect of each parameter on dimensional accuracy has been identified using ANOM (Analysis of Means), while ANOVA (Analysis of Variances) has been performed to determine each parameter’s dominance. Additionally, the results of this study were compared with the findings of a previous optimization study in which the usual Taguchi method was used. It was concluded that 16 μm of layer thickness, glossy style and 50% scale provide the optimum dimensional results, while scale is the most important factorItem Open Access Quality performance evaluation of thin walled PLA 3D printed parts using the taguchi method and grey relational analysis(MDPI, 2020-05-19) Aslani, Kyriaki-Evangelia; Chaidas, Dimitrios; Kechagias, John; Kyratsis, Panagiotis; Salonitis, KonstantinosThis 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.