Analytical Prediction of Balling, Lack-of-Fusion and Keyholing Thresholds in Powder Bed Fusion

Featured Application A complete analytical approach was proposed to predict the occurrence of lack-of-fusion, balling, and keyholing defects in laser powder bed fusion. The boundary heat loss was considered in the presented analytical models. The effect of powder bed porosity on thermal property of powder material was considered in the presented analytical model. This paper proposes analytical modeling methods for the prediction of balling, lack-of-fusion and keyholing thresholds in the laser powder bed fusion (LPBF) additive manufacturing. The molten pool dimensions were first predicted by a closed-form analytical thermal model. The effects of laser power input, boundary heat loss, powder size distribution and powder packing pattern were considered in the calculation process. The predicted molten pool dimensions were then employed in the calculation of analytical thresholds for these defects. Reported experimental data with different materials were compared to predictions to validate the presented analytical models. The predicted thresholds of these defects under various process conditions have good agreement with the experimental results. The computation time for the presented models is less than 5 min on a personal computer. The optimized process window for Ti6Al4V was obtained based on the analytical predictions of these defects. The sensitivity analyses of the value of threshold to the laser power and scanning speed were also conducted. The proposed analytical methods show higher computational efficiency than finite element methods, without including any iteration-based computations. The acceptable predictive accuracy and low computational time will make the proposed analytical strategy be a good tool for the optimization of process conditions for the fabrication of defects-free complex products in laser powder bed fusion.

Automated summary

A complete analytical approach was proposed to predict the occurrence of defects in laser powder bed fusion, taking into account factors such as boundary heat loss and powder bed porosity. The predicted thresholds of these defects under various process conditions showed good agreement with experimental results. The proposed analytical methods show higher computational efficiency than finite element methods, making them a useful tool for optimizing process conditions in laser powder bed fusion.