Lakraimi Reda, Abouchadi Hamid, Janan Mourad Taha, Chehri Abdellah, Saadane Rachid
Laboratory of Applied Mechanics and Technologies, ENSAM, Mohammed V University, Rabat 10100, Morocco.
Department of Mathematics and Computer Science, Royal Military College of Canada, Kingston, ON K7K 7B4, Canada.
Materials (Basel). 2023 Jan 12;16(2):753. doi: 10.3390/ma16020753.
Selective laser sintering (SLS) is one of the key additive manufacturing technologies that can build any complex three-dimensional structure without the use of any special tools. Thermal modeling of this process is required to anticipate the quality of the manufactured parts by assessing the microstructure, residual stresses, and structural deformations of the finished product. This paper proposes a framework for the thermal simulation of the SLS process based on the discrete element method (DEM) and numerically generated in Python. This framework simulates a polyamide 12 (PA12) particle domain to describe the temperature evolution in this domain using simple interaction laws between the DEM particles and considering the exchange of these particles with the boundary planes. The results obtained and the comparison with the literature show that the DEM frame accurately captures the temperature distribution in the domain scanned by the laser. The effect of laser power and projection time on the temperature of PA12 particles is investigated and validated with experimental settings to show the reliability of DEM in simulating powder-based additive manufacturing processes.
选择性激光烧结(SLS)是关键的增材制造技术之一,它无需使用任何特殊工具就能构建任何复杂的三维结构。需要对该过程进行热建模,通过评估成品的微观结构、残余应力和结构变形来预测制造零件的质量。本文提出了一种基于离散元法(DEM)并在Python中数值生成的SLS过程热模拟框架。该框架模拟聚酰胺12(PA12)颗粒域,利用DEM颗粒之间简单的相互作用规律描述该域内的温度演变,并考虑这些颗粒与边界平面之间的交换。所得结果与文献对比表明,DEM框架能准确捕捉激光扫描域内的温度分布。研究了激光功率和投影时间对PA12颗粒温度的影响,并通过实验设置进行了验证,以证明DEM在模拟基于粉末的增材制造过程中的可靠性。