TY  - JOUR
TI  - Surface Texture Characterization and Parameter Optimization of Fused Deposition Modelling Process
AB  - Additive manufacturing (AM) is an emerging technology which provides opportunity to produce complexgeometries layer-by-layer. Fused Deposition Modeling (FDM) is one of the additive manufacturing (AM)methods, widely used for manufacturing prototypes, models and functional thermoplastic parts as final product.Although FDM technology provides opportunity for manufacturing complex geometries, surface quality of theproducts cannot reach the required value yet. For this reason post processing operations which are timeconsuming and over costing, are applied to the finished parts. Alternatively, optimization of the FDM processparameters is another solution which is more economical way for improving surface quality of the printed parts.The aim of the study is to optimize the FDM process parameters such as shell number, infill percentage, infillgeometry and layer thickness, for improving surface quality of the Polylactic Acid (PLA) parts. L9 (34) standardTaguchi experimental design is applied for manufacturing of the samples. The manufactured surfaces areinspected by mechanical profilometer for obtaining 2D surface profiles. For determination of the deviation fromdesired value, signal-to-noise ratios were calculated as a quality characteristic by transforming the results for Raand Rq surface roughness parameters. Analysis of variance (ANOVA) was used for determining significance ofthe testing parameters.
AU  - Sagbas, Binnur
PY  - 2018
JO  - Düzce Üniversitesi Bilim ve Teknoloji Dergisi
VL  - 6
IS  - 4
SN  - 2148-2446
SP  - 1028
EP  - 1037
DB  - TRDizin
UR  - http://search/yayin/detay/321372
ER  -