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Документ Influence of determination accuracy of the build step on the efficiency of adaptive slising group of products for layered manufacturing(Національний технічний університет "Харківський політехнічний інститут", 2022) Garashchenko, Yaroslav; Harashchenko, O.Research results on improving the efficiency of the developed algorithm for adaptive layer-by-layer dissection are presented on the example of 3D models group placed in the workspace of an additive setup. This algorithm for 3D model adaptive cutting allows you to increase the productivity of the process and adjust the accuracy of manufacturing products, taking into account their geometry, by setting a rational value of the variable building step for each individual lowering of the work platform. Building step is calculated taking into account the distribution of the direction of surfaces normal of products group (relative to the construction direction) that fall into the current layer. The developed algorithm provides for some truncation of this distribution, which makes it possible to further increase the building step and, accordingly, reduce the number of layers. Thus, conditions can be created for rational support and given reduction in building time. This achieves a reduction in building time compared to existing strategies for variable dissection. Estimate of efficiency of adaptive layer-by-layer dissection was carried out taking into account the accuracy of determining (setting) building step in relation to 5options for placing 3D models of industrial products in workspace. Comparative analysis of dissection options was performed by the number of layers and assessment of deviations from of surfaces correct shape. Increase in the efficiency of layer-by-layer shaping process with increased accuracy in determining variable step of building a group of complex products placed in workspace of installation has been revealed. This research was developed at the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI".