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Packing 3D-Models of Products in Build Space of Additive Manufacturing Machine by Genetic Algorithm

AbstractThe study results of the possibilities of fulfilling the optimization task of placing (packing) 3D-models of products in build space using a genetic algorithm are presented. The proposed algorithm for the location of 3D models of products in build space allows to reduce the time of technological preparation and increase the productivity of the process and the efficiency of using the additive machine. The efficiency of use can be ensured by reducing the relative share of the unused volume of the layered build space, which is relevant for SLA, SLM, SLS, and other methods of additive technologies. A step-by-step determination of the free space for placing the next product is proposed, starting from the lower level of the machine platform. An increase in the efficiency of the proposed algorithm was provided by preliminary sorting of 3D models of products according to specified criteria. The rational values of the genetic algorithm parameters have been determined using the example of the placement of a group of industrial products with a rather complex design. Evaluation of the effectiveness of the proposed algorithm for placing 3D models was carried out based on a comparative analysis of the number of layers and the efficiency of filling the build space (relative volume of its use) for the manufacture of a group of 3D models of industrial products. The study was carried out using the developed system “Technological preparation of materialization of complex products by additive technologies”.KeywordsAdditive manufacturingTechnology planningTriangulated modelPackingGenetic algorithm

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Control of the Strength Properties of Mixtures Based on Chromite Sand

AbstractThe paper presents the results of a study into the processing and physical and mechanical properties of mixtures based on liquid glass (LG) with furfuryl oxypropyl cyclocarbonate (FOPCC) for chromite compounds. The patterns of the interaction between triethanolamine-modified liquid glass with furfuryl oxypropyl cyclocarbonate and chromite sand were established. Parameters such as compressive strength, flexural strength, and tensile strength were studied, which were determined using standard methods. Mathematical models of the properties of mixtures on chromite sand with liquid glass and FOPCC were developed based on the planned experiment. Mathematical models represent a system of equations linking the compressive strength, tensile strength, and flexural strength of the mixture with controlled variables of a technological nature for which the contents of liquid glass, FOPCC, and triethanolamine were chosen. Based on the data obtained, it was found that the flexural strength, tensile strength, and compressive strength increase with an increase in the content of LG and FOPCC. The compositions of cold-hardening mixtures on chromite sand were optimized, allowing obtaining high-quality cores with high strength properties. It has been established that FOPCC is a material that has a double effect; it hardens the mixture during preparation and softens it after pouring metal during decoring. The optimum binder content is 4,5 to 5,5%, and the optimum hardener content is 0.4 to 0,6%. A technological procedure has been developed to prepare chromite sand-based CHM. As a result, the surface quality was improved, and the burn-on on the castings was reduced.KeywordsChromite sandLiquid glassTriethanolamineOptimizationMechanical propertiesStrength properties

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