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VERIFICATION OF NUMERICALLY CALCULATED COOLING RATES OF POWDER BED ADDITIVE MANUFACTURING

机译:验证数值计算的粉床添加剂制造的冷却速率

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In order to increase the powder bed production rates, the laser power and diameter are increased enabling faster scanning, thicker powder layers and wider hatches. These parameters however interact in a very complex manner: For example increasing the laser power may lead to significant evaporation of the molten metal. Increasing the scan speed may lead to reduced melting and lack of fusion of the powder particles. Combining higher scanning speeds with increased layer thickness enhances lack of fusion even more. Larger beam diameters reduce the energy density and hence impose limitations to scan speeds. Physics based modelling has the potential to shed light into how these competing phenomena interact and can accelerate fine tuning build parameters to achieve design goals. Models resolving the heat source powder interaction and describing the melt pool and solidification processes could not be formally validated using experimental data due to the extreme severity of the processing environment In an effort to verify models describing melt pool behavior the results of two different algorithms are compared: Lattice Boltzmann and Finite Volume Computational Fluid Dynamics. Both codes were developed separately by two different and independent teams. A reference benchmark is defined with corresponding operation conditions. The physical assumptions are aligned as far as possible. The melt pool characteristics and the thermal cycles are compared.
机译:为了提高粉末床生产率,激光功率和直径增加,使得扫描更快,粉末层更厚的粉末层和宽舱盖。然而,这些参数以非常复杂的方式相互作用:例如,增加激光功率可能导致熔融金属的显着蒸发。增加扫描速度可能导致熔化降低和缺乏粉末颗粒的熔化。将较高的层厚度扫描速度结合起来增强了缺乏融合。较大的光束直径降低了能量密度,因此施加扫描速度施加限制。基于物理的建模有可能阐明光线融入这些竞争现象的互动,并可以加速微调构建参数以实现设计目标。模型解决热源粉末相互作用和描述熔池和凝固过程,由于加工环境的极端严重程度,无法使用实验数据正式验证,以验证描述熔池行为的模型,比较了两种不同算法的结果:格子Boltzmann和有限卷计算流体动力学。两个代码由两个不同和独立的团队分开开发。使用相应的操作条件定义参考基准。物理假设尽可能对齐。比较熔池特性和热循环。

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