Layout Optimization for FDM Process by Multi-objective Optimization Using RSM and GRA

This chapter presents an overview of various aspects for quantitatively optimizing the fused deposition modelling (FDM) layout process. After initial introductory sections, a case study for utilizing hybrid optimization strategy by combining response surface methodology (RSM) with grey relational analysis (GRA) for optimizing multiple responses to acheive improved cost effectiveness for FDM process is presented. Spatial orientation (SO), air gap (AG), raster angle (RA) and contour width (CW) are taken as process variables. Also, build time (BT), model material volume (MV) and support material volume (SV) are considered as response in present work. Thirty experiments were performed for acrylo butadiene styrene (ABS) P400 on FDM machine for conical-shaped constructive solid geometry (CSG) primitives. Aim of the current case study is establishing a scientific reference for optimizing BT, MV and SV. Process parameter values of 0.654 mm CW, 0.0254 mm AG, 0° RA and 30° SO correspond to optimal process parameters.