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Identification of a suitable volumetric heat source for modelling of selective laser melting of Ti6Al4V powder using numerical and experimental validation approach

机译:用数值和实验验证方法识别用于识别Ti6Al4V粉末选择性激光熔化的适当的热源

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摘要

Using a suitable heat source is crucial to correctly simulate the selective laser melting (SLM) process as the heat source represents the absorbed heat energy, which governs the thermal and fluid flow phenomena associated with SLM. The discontinuous mass distribution in the powder bed causes absorption of incident laser energy over a substantial depth in the powder bed. Therefore, the conventional way of including laser beam energy as a surface heat flux in the modelling of SLM process is likely to provide inaccurate results. This draws attention towards the use of a volumetric heat source in SLM modelling. A number of models for the volumetric heat sources are present that make a selection very difficult. Therefore, several heat sources are investigated in this study using numerical modelling. A three-dimensional model of SLM of Ti6Al4V powder has been developed. The model comprises of a mathematical description of the SLM process along with models for thermal, physical and optical properties of the powder bed. The temperature field, melt pool dimensions, temperature gradient and cooling rate are discussed in detail. The simulation results are compared with the published experimental results to identify a suitable heat source for SLM modelling. Among different heat sources considered, the Gaussian exponential volumetric heat source is found to provide the best matching results with the experiments. Hence, it is identified as the suitable heat source for use in modelling of SLM.
机译:使用合适的热源是至关重要的,可以正确地模拟选择性激光熔化(SLM)工艺,因为热源代表吸收的热能,其控制与SLM相关的热和流体流动现象。粉末床中的不连续质量分布在粉末床中的大部分深度上导致入射激光能量的吸收。因此,在SLM工艺建模中包括激光束能量作为表面热通量的常规方式可能提供不准确的结果。这引起了在SLM建模中使用体积热源的关注。存在多种模型的体积热源,这是非常困难的选择。因此,使用数值建模在该研究中研究了几种热源。已经开发了Ti6Al4V粉末SLM的三维模型。该模型包括SLM过程的数学描述以及用于粉末床的热,物理和光学性质的模型。详细讨论了温度场,熔池尺寸,温度梯度和冷却速率。将仿真结果与已发表的实验结果进行比较,以鉴定SLM造型的合适热源。在考虑的不同热源中,发现高斯指数体积热源提供了与实验的最佳匹配结果。因此,将其识别为适用于SLM的建模的合适的热源。

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