Intelligent 3D printing path planning method based on genetic algorithm

Abstract

The invention belongs to the field of artificial intelligence and 3D printing, and relates to an intelligent 3D printing path planning method based on a genetic algorithm. The method comprises the following steps: firstly, carrying out concave polygon convex decomposition on a two-dimensional slice surface obtained by slicing a 3D model by adopting a Bayazit algorithm to obtain a plurality of sub-partitions; scanning the interior of each sub-partition along the long axis of the partition in a self-adaptive manner to reduce the number of paths; regarding the connection of the sub-partitions asa TSP traveling salesman problem, using a genetic algorithm to complete path planning of the whole outline, obtaining a simulation result of the whole path planning, and finally completing the whole printing process through the simulation result in combination with actual printer parameters. By means of the method, a computer can intelligently find a path suitable for printing, the printing efficiency can be greatly improved, and the forming effect is obviously better than that of a traditional path planning method. The method disclosed by the invention has universality for various 3D printingmodels.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and 3D printing, and relates to a method for planning a partitioned 3D printing path based on a genetic algorithm. Background technique [0002] 3D printing technology is different from the manufacturing process of traditional building materials, and the processing method of additive manufacturing can easily produce personalized customized parts, so it has been widely valued. It can complete the molding of personalized parts in a very short time through simple modeling, layering, path planning, printing accumulation, and rapid manufacturing. [0003] As a key link in 3D printing, path planning controls the overall printing process by planning the trajectory of the print head, which has a huge impact on printing quality and printing efficiency. The Z-shaped and paranoid contour path planning algorithms commonly used at this stage have obvious advantages and disadvantages, and their performan...

AI Technical Summary

Problems solved by technology

At this stage, the commonly used Z-shaped and paranoid contour path planning algorithms have obvious advantages and disadvantages, and their performance on large parts is poor. With the popularization of artificial intelligence, intelligent 3D printing path planning algorithms will attract attention

[0004] In recent years, in the 3D printing of large-scale parts, the traditional algorithm has great limitations. For example, the zigzag scanning algorithm is prone to over-concentration of stress due to the intensive heat dissipation of the material due to the short-distance parallel reciprocation, which reduces the heat dissipation effect of the material. , directly lead to deformation, cracks and other phenomena in the workpiece. For structures with varying numbers of holes, holes, islands, etc., the traditional Z-shaped path needs to cross the internal hole structure many times, which will inevitably cause multiple times. Slow down, lift the print head, drop the print head, and continue processing. This printing method will greatly reduce the printing efficiency of the part. The more times the print head is lifted, the lower the printing efficiency of the part will be.

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