Additive manufacturing (AM) processes suchas fused deposition modeling (FDM) give a materialefficient effect to minimize material waste better than thesubtractive machining process. The application of AMcould also save energy, but the research on energyconsumption of the process is not explored critically.Besides, the fabricated parts that suffer badly from lowpart quality require extra time and cost to improve theirquality. Therefore, in this study, the optimization of builtparameters was identified and analyzed to considermaterial waste and energy consumption using ResponseSurface Methodology (RSM). An optimal solution formaterial waste and energy consumption was determined byusing the Minitab Response Optimizer tool. The result foroptimal settings was; a number of shells = 3, sliceorientation = 0o, layer height = 0.4 mm, and infillpercentage = 100%, and the parameters gave the lowestvalues of waste and energy consumption. The confirmationtest has shown that the percentages of error for responsevariables were within 11% to 26%, which are consideredlow due to some external sources of errors as the Rsquared was not perfect as 100%.
展开▼
