A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments
Li Yi, Tianwen Chen, Svenja Ehmsen, Christopher Gläßner, Jan C. Aurich
Abstract
Current studies show that the extent of the ecological benefits of additive manufacturing (AM) against conventional manufacturing is case-specific. In terms of energy performance, deeper investigations of mechanisms between parameters and energy consumption of AM processes are currently emerging research tasks. Focusing on the fused deposition modeling (FDM) process, we have designed and carried out two-level full factorial experiments for five impact factors: print speed, layer thickness, number of parts, part size, and support structure. Through 32 experiments, the effects of the impact factors on the total and specific energy consumption of FDM are analyzed.
Topics & Concepts
Energy consumptionFactorial experimentFused deposition modelingDeposition (geology)FactorialProcess (computing)Energy (signal processing)Process engineeringComputer scienceEngineeringMechanical engineeringMathematicsStatisticsGeology3D printingSedimentOperating systemElectrical engineeringPaleontologyMathematical analysisAdditive Manufacturing and 3D Printing TechnologiesManufacturing Process and OptimizationAdditive Manufacturing Materials and Processes