研究目的
To propose a method for energy modeling and simulation implementation of AM machines, specifically applying it to a machine tool of selective laser melting (SLM) to enable energy prediction and evaluation, ensuring the sustainability of AM processes.
研究成果
The FunBoG is suitable for analyzing energy consumption and exchange dynamics of AM-machines. G-code-driven simulation approach significantly improves simulation accuracy. The use of power data base and random power value generation reduces simulation time. Multi-parts configuration in SLM process shows better energy performance than single part configuration.
研究不足
The study focuses on the machine level of AM, excluding the production of powders, subtractive post-processing, or other life cycle energy consumptions. The simulation accuracy may be affected by simplifications and assumptions in model creation.
