Comparative Studies on FDM based AM Process Using Regression Analysis and ANFIS Model

Additive manufacturing is the method for fabricating the components effectively. The components fabricated by additive manufacturing process have wider applications in various domains. Fusion deposition modeling is one of the additive manufacturing methodologies that has been used for fabricating the components. Generating CAD model occupies the first and foremost step in this process, followed by printing of the designed model through fusion deposition extruders. The preparation of components through fused deposition makes it easier for the complex as well as most intricated shaped components, which is difficult in the case of existing conventional manufacturing practices. This liberty propels the effective utilization of additive manufacturing techniques in various fields ranging from the automotive to aerospace industries. This increasing demand turns the focus towards the selection of precise modeling techniques while selecting the process parameters in the fused deposition techniques. The present work mainly focused on the selection of best models for the fused deposition modeling and the comparative analysis between multiple regression analysis and ANFIS models for the selected parameters.

Keywords: 3D printing, Additive manufacturing, ANFIS model, Artificial neural network, Comparative analysis, Fused deposition modeling, GRG, Optimization, Part thickness, Prediction, Printing time, Regression models, Response analysis, Surface roughness.