Dimensional Investigation of Material Extrusion based AM Part

Abstract

Now a day’s additive manufacturing plays a vital role in industrial application. Material Extrusion based 3D printed parts often face inherent limitations in quality, such as geometric inaccuracies, surface roughness, and reduced strength, especially when compared to those made through traditional or more refined manufacturing methods. However, this system provides notable advantages for producing parts from materials like ABS by optimizing critical material extrusion based AM machine process parameters, such as layer thickness, infill percentage, and infill pattern design. The aim of this study is to develop an optimized set of machining parameters that can help produce parts with improved geometric accuracy. Factorial analysis based design of experiment (DOE) method is a flexible approach that is used to understand the impact of multiple variables and their interactions to find out the best combination of factor levels setting for improving the dimensional accuracy of test specimens. From result it is concluded that, interaction between layer thickness and infill percentage, layer thickness, interaction between infill percentage and infill pattern design, & interaction between layer thickness and infill percentage have the greatest impact on the accuracy of the part in terms of length (X1), length (Y1), length (Z1), & diametrical length (D1) respectively.