Modeling and analysis of significant process parameters of FDM 3D printer using ANFIS

The present work deals with the effects of significant parameters of the Fused Deposition Modeling (FDM) 3D printer on the tensile strength of materials like PETG, ABS and multi-material (60% ABS + 40% PETG). The significant process parameters have been taken as extrusion temperature, layer height and material density. ASTM D638-(IV) standard test specimens have been prepared at different process parameters of the FDM 3D printer to check their tensile strength. UNITEK 94100 Universal testing machine is used to test the tensile strength of test specimens. Thirty experiments have been performed on the UTM machine with various materials and their tensile strength has been recorded as output response. The training between input and output data has been given with ANFIS (Adaptive Neuro-Fuzzy Inference System). It is observed that maximum tensile strength achieved is 0.0405 kN/mm(2) for PETG (material density 1.27 g/cm(3)) when it is fabricated with 0.1 mm layer height and 225 degrees C extrusion temperature and ANFIS model is successfully performing for giving output on new input parameters with 2.63 percent error. (C) 2019 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Mechanical and Energy Technologies.