Optimization of 3D Printing Process Parameter Using Taguchi Approach


Ranganath Lolla†, Charankumar Ganteda‡, Rajya Lakshmi Kottapalli‡ and Giulio Lorenzini‡†


† Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.), India.
‡ Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
‡† Department of Engineering and Architecture, Environmental Technical Physics University of Parma, 43124 Parma, Italy.

Corresponding Author Email: giulio.lorenzini@unipr.it

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Additive manufacturing is holding its posture in the latest technology of manufacturing. Complex shapes of the three-dimension digital models are easily obtained as end products in a layer-by-layer process. There are seven types of additive manufacturing; out of these, the one with high demand and research specific type is F.F.F. (Fused Filament Fabrication). Digital model shapes in CAD software and then exported with. S.T.L. extension, thus. S.T.L. format produced will be sliced with slicing software and then to machine understanding format G code file for printing. During this manufacturing process, the material output is proportional to process parameters employed in slicing software. This work mainly compares ANOVA, Taguchi, and Response surface methods with the existing experimental data. In his work, he outlined Taguchi’s method of Design of Experiment L9 to his values. And obtain the output as 32.11 Mpa strength for processing time of 82 min with 100% infill density. The printing speed of 40 mm/min with layer thickness as 0.3 mm. ANOVA and Taguchi methods are employed to the same results; the output obtained are layer thickness at 0.15, Printing speed at 40, and Infill density 100%.