This paper describes a Genetic Algorithm (GA) with Design of Experiments (DoE)
approach to predict the optimized surface roughness and porosity characteristics of the parts
produced using ABS material on stratasys FDM 2000 machine. The Mathematical Model (MM)
was developed by using Response Surface Methodology (RSM). It is to predict and investigate
the influence of selected process parameters namely slice thickness, road width, liquefier
temperature and air gap and their interactions on the surface roughness and porosity. The
developed MM is the fitness function in GA in order to find out the optimal sets of process
parameters and to predict the corresponding surface quality characteristics. These results have
been validated and the experimental results after GA are found to be in conformance with the
predicted process parameters.Mechanical Engineerin
