Improving the Performance of FDM Machine Objects by using Optimization Techniques

Fused deposition modeling (FDM) is one of the rapid prototyping processes that use the plastics materials such as ABS (Acrylonitrile – butadiene – styrene) in the semi molten state to produce the goods directly from CAD model. FDM is an additive manufacturing method and the prototypes is completed by layer by layer addition of semi-molten synthetic material onto the platform from bottom to top. The design investigates the effect of the process parameter layer thickness, raster width, raster angle and air gap that influences the surface roughness of the piece produced by the process of Fused Deposition Modeling. Hence, the Optimization of these process parameters of FDM is gifted to make the system more specific and repeatable and such progression can direct to use of FDM in rapid manufacturing application to a certain extent than only producing prototypes. The novel ABS- M30 biomedical matter was used in this investigates work to build parts. The experimentation has been completed with the help of Taguchi. Taguchi grey relational analysis is used to optimize the process parameters on multiple performance distinctiveness such as length, diameter, width and surface finish. The experimental result investigation showed that the combination of Layer thickness(A), Orientation(B), Raster angle(C), Raster width(D) and Air gap(E) is essential to achieve minimization of surface roughness and maximum of dimensional accuracy.