FDM (Fused Deposition Modeling) is favored to be applied for manufacturing over other methods of 3d printing these days. The FDM approach may easily be fit perfectly if a preset process and model are directed to the machine utilizing a data transmission device. There are various possibilities for altering the input values as per the user demand. In this work, polylactic acid (PLA) is employed for specimen production. The tests in this research were done to investigate how four process parameters which are layer thickness, infill percentage, extrusion temperature, and print speed influenced surface roughness. Furthermore, the relative influences of these components on the response have been discovered and optimized using the Taguchi approach, and findings have been derived. Furthermore, findings and significant analysis were done utilizing the ANOVA approach. The Confirmation testing for SR was done to validate the findings.

In additive manufacturing, fused deposition modeling is the most extensively utilized technology. It is the technique of building a three-dimensional object by depositing material in successive layers of a controlled environment. The limited choice of materials and the reality that FDM components are more often used as a presentation or conceptual parts rather than functioning parts are the main disadvantages of using fused deposition modeling (FDM) in industrial applications. Scientists have recently explored many approaches for broadening the range of materials that may be used in the FDM process, resulting in an increase in the employment of FDM in a variety of manufacturing industries. This is a comprehensive review of the literature on the subject of FDM with the goal of recommending future research directions aimed at boosting industry recognition of FDM printed components. The significance of reviewing the current research on this topic, is not just to distinguish practical and useful aspects, key process parameters, and constrictions, but also to determine the extent to wherein the results of these studies are useful and can be implemented in the future research and real-world applications.