Abstract
Research results of possibilities of packing a group of 3D-models of products in a layered build space using a genetic algorithm are presented. It is proposed to determine the efficiency of the optimization problem of rational arrangement of 3D-models group in the workspace of additive machines depending on the number of loaded products. Condition for efficient use of the layered build workspace is the minimum number of layers per product and the largest relative filling. Such criteria are important, for example, for SLS/SLM technologies. Examples of evaluation based on the analysis of derived voxel 3D model of the workspace with located products are considered. Industrial products with different geometrical complexity were selected as test 3D models. This approach allowed to perform a comparative analysis of the results depending on the design features of products. The practical realization was performed in the subsystem of packing 3D-models in a workspace, which is part of the technological preparation system for the manufacture of complex products by additive methods. This system was developed at the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI".
Highlights
One of the main optimization tasks of technological preparation of additive processes (Additive Manufacturing) is to determine the rational location of the product in the working area of layered building [1]
The ability to solve this optimization problem significantly depends on the geometric complexity of the products and requirements for effective use of additive machines [2]
The provisional estimate of the product in technological preparation for adaptation to the task of rational location is of interest to ensure the level of efficiency of additive processes of layered building [3]
Summary
One of the main optimization tasks of technological preparation of additive processes (Additive Manufacturing) is to determine the rational location of the product in the working area of layered building [1]. The ability to solve this optimization problem significantly depends on the geometric complexity of the products and requirements for effective use of additive machines [2]. When applied to methods such as SLS and SLA, one of the important factors in the effectiveness of layering processes is the degree of filling the workspace with products. The provisional estimate of the product in technological preparation for adaptation to the task of rational location is of interest to ensure the level of efficiency of additive processes of layered building [3]
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