Accurate Prediction of Melt Pool Shapes in Laser Powder Bed Fusion by the Non-Linear Temperature Equation Including Phase Changes: Model validity: isotropic versus anisotropic conductivity to capture AM Benchmark Test AMB2018-02

被引:33
作者
Kollmannsberger, Stefan [1 ]
Carraturo, Massimo [1 ,2 ]
Reali, Alessandro [2 ]
Auricchio, Ferdinando [2 ]
机构
[1] Tech Univ Munich, Munich, Germany
[2] Univ Pavia, Pavia, Italy
关键词
Melt pool size; Validation; Model calibration; Laser powder bed fusion; Heat transfer analysis; SLM; Laser bed power fusion; Metal additive manufacturing; FINITE-ELEMENT-ANALYSIS; EXPERIMENTAL VALIDATION;
D O I
10.1007/s40192-019-00132-9
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this contribution, we validate a physical model based on a transient temperature equation (including latent heat), w.r.t. the experimental set AMB2018-02 provided within the additive manufacturing benchmark series, established at the National Institute of Standards and Technology, USA. We aim at predicting the following quantities of interest, width, depth, and length of the melt pool by numerical simulation, and report also on the obtainable numerical results of the cooling rate. We first assume the laser to possess a double-ellipsoidal shape and demonstrate that a well-calibrated, purely thermal model based on isotropic thermal conductivity is able to predict all the quantities of interest, up to a deviation of maximum 7.3% from the experimentally measured values. However, it is interesting to observe that if we directly introduce, whenever available, the measured laser profile in the model (instead of the double-ellipsoidal shape), the investigated model returns a deviation of 19.3% from the experimental values. This motivates a model update by introducing anisotropic conductivity, which is intended to be a simplistic model for heat material convection inside the melt pool. Such an anisotropic model enables the prediction of all quantities of interest mentioned above with a maximum deviation from the experimental values of 6.5%. We note that, although more predictive, the anisotropic model induces only a marginal increase in computational complexity.
引用
收藏
页码:167 / 177
页数:11
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