Adaptive Slicing in the Additive Manufacturing Process Using the Statistical Layered Analysis

The results of the study on the capabilities of adaptive slicing the original 3D model at layered product shaping are presented. The proposed method of adaptive slicing the 3D model allows increasing the process effectiveness and regulates the accuracy of manufacturing products by setting the building step for each lowering of the working platform of additive technologies installation. The building step is selected, taking into account the density of distribution of angles between the building direction vector and the product surface normals that are in the current layer. The developed algorithm for adaptive slicing the 3D model provides for balanced truncation of the distribution, which further reduces the building time compared to existing slicing strategies with variable steps. Evaluation of the effectiveness of adaptive slicing was carried out based on the comparative analysis of the number of layers and the predicted deviations from the regular surface shape as applied to 3D models of industrial products. Improve the effectiveness of the proposed adaptive slicing with an increase in the geometric complexity of the product is revealed.