Duan Xianyin, Chen Xinyue, Zhu Kunpeng, Long Tao, Huang Shiyang, Jerry Fuh Y H
Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Ministry of Education, Wuhan 430000, China.
Institute of Advanced Manufacturing Technology, Chinese Academy of Sciences, Changzhou 213000, China.
Materials (Basel). 2021 Mar 29;14(7):1673. doi: 10.3390/ma14071673.
In the selective laser melting process, metal powder melted by the laser heat source generates large instantaneous energy, resulting in transient high temperature and complex stress distribution. Different temperature gradients and anisotropy finally determine the microstructure after melting and affect the build quality and mechanical properties as a result. It is important to monitor and investigate the temperature and stress distribution evolution. Due to the difficulties in online monitoring, finite element methods (FEM) are used to simulate and predict the building process in real time. In this paper, a thermo-mechanical coupled FEM model is developed to predict the thermal behaviors of the melt pool by using Gaussian moving heat source. The model could simulate the shapes of the melt pool, distributions of temperature and stress under different process parameters through FEM. The influences of scanning speed, laser power, and spot diameter on the distribution of the melt pool temperature and stress are investigated in the SLM process of Al6063, which is widely applied in aerospace, transportation, construction and other fields due to its good corrosion resistance, sufficient strength and excellent process performance. Based on transient analysis, the relationships are identified among these process parameters and the melt pool morphology, distribution of temperature and thermal stress. It is shown that the maximum temperature at the center point of the scanning tracks will gradually increase with the increment of laser power under the effect of thermal accumulation and heat conduction, as the preceded scanning will preheat the subsequent scanning tracks. It is recommended that the parameters with optimized laser power ( = 175-200 W), scanning speed ( = 200-300 mm/s) and spot diameter ( = 0.1-0.15 mm) of aluminum alloy powder can produce a high building quality of the SLM parts under the pre-set conditions.
在选择性激光熔化过程中,由激光热源熔化的金属粉末会产生大量瞬时能量,导致瞬态高温和复杂的应力分布。不同的温度梯度和各向异性最终决定了熔化后的微观结构,并因此影响成型质量和机械性能。监测和研究温度及应力分布的演变非常重要。由于在线监测存在困难,因此采用有限元方法(FEM)来实时模拟和预测成型过程。本文通过使用高斯移动热源,开发了一种热-机械耦合有限元模型来预测熔池的热行为。该模型能够通过有限元方法模拟不同工艺参数下熔池的形状、温度和应力分布。在Al6063的选择性激光熔化过程中,研究了扫描速度、激光功率和光斑直径对熔池温度和应力分布的影响。Al6063因其良好的耐腐蚀性、足够的强度和优异的加工性能而广泛应用于航空航天、交通运输、建筑等领域。基于瞬态分析,确定了这些工艺参数与熔池形态、温度分布和热应力之间的关系。结果表明,在热积累和热传导的作用下,随着激光功率的增加,扫描轨迹中心点的最高温度将逐渐升高,因为先前的扫描会预热后续的扫描轨迹。建议在预设条件下,采用优化的激光功率( = 175 - 200 W)、扫描速度( = 200 - 300 mm/s)和铝合金粉末光斑直径( = 0.1 - 0.15 mm)的参数,可以实现选择性激光熔化零件的高质量成型。