Multi Objective Optimization of Fused Deposition Modeling Process Parameters with Desirability Function

Today's production technologies strive hard to meet customers demand in terms of quality, quantity and cost of products. Many new technologies are coming forward with huge capabilities. Additive Manufacturing processes have an immense influence on existing production technologies. Because of their nature and freedom of manufacture, they are popular in many production plants. 3D printing is a process employed in many industrial sectors such as aircraft, cars, buildings and several medical fields to fabricate products. One of the common processes used for 3D printing of plastics and composite plastic parts is Fusing Deposition Modeling (FDM). The performance of FDM is governed by diverse process parameters that can have a great impact on cost and quality of the 3D printed parts. This article focuses on the optimization of FDM process parameters using an approach based on Desirability Function.