EVALUATION OF PERFORMANCE EFFICIENCY OF PACKING A GROUP OF PRODUCTS IN THE WORKPLACE OF ADDITIVE MACHINE USING A GENETIC ALGORITHM

Research results of possibilities packing a group 3D-models products in layered build space using genetic algorithm are presented. It is proposed to determine the efficiency optimization problem rational arrangement workspace additive machines depending on number loaded products. Condition for efficient use minimum layers per product and largest relative filling. Such criteria important, example, SLS/SLM technologies. Examples evaluation based analysis derived voxel 3D model with located considered. Industrial different geometrical complexity were selected as test models. This approach allowed perform comparative design features The practical realization was performed subsystem workspace, which part technological preparation system manufacture complex by methods. developed at Department "Integrated Technologies Mechanical Engineering" named after M. Semko NTU "KhPI".