Laser cutting path optimizing method

Abstract

The invention relates to the technical field of digital control laser cutters, and in particular relates to a laser cutting path optimizing method. The optimizing method is characterized by comprising the following steps: (1) inputting a graph to be cut into a control system of the laser cutter, wherein the graph is composed of at least one independent pattern, and each pattern is composed of at least one outline pattern; (2) ordering all outline patterns in the graph in accordance with inner and outer layers, so as to distinguish that whether the filling type of each outline pattern is negative cutting or positive cutting; (3) in the output graph with ordered outline patterns in inner and outer layers, ordering the outline patterns of each layer from inside to outside in sequence in a single layer and separated piece mode; and (4) outputting an optimized path. Compared with the prior art, the rate that single section long distance empty motion happens is greatly reduced, the potential safety hazard is reduced, the implementation is simple, the speed is rapid, and the efficiency in processing large graphs is higher.

Description

technical field [0001] The invention relates to the technical field of numerically controlled laser cutting machines, in particular to a laser cutting path optimization method. Background technique [0002] In the laser cutting system, CAM software is generally used for programming. The CAM software generates NC codes that can be read by machine tools through computer programming, so that the machine tools can run more accurately and efficiently, saving a lot of cost for the enterprise. A key issue to be considered when using CAM software for programming is how to improve cutting efficiency. If the cutting efficiency is too low, it will inevitably increase the processing cost, resulting in a decline in the competitiveness of enterprises. During the cutting process, the length of the space included in the path of the laser head is the bottleneck restricting the cutting efficiency. For graphics with multiple contours, different cutting sequences will produce different length...

AI Technical Summary

Problems solved by technology

[0003] The path optimization methods used by general laser cutting software can be divided into two categories: one is interactive optimization, that is, the cutting path is generated manually or semi-automatically based on the user's experience. A large number of manual operations are required for large-scale graphics, which also reduces efficiency; the second is automatic optimization, and this type of method can be divided into two categories: one is to automatically sort the graphics according to a predetermined rule, such as from left to right, The cutting path generated in this way is relatively regular, and can also shorten the length of space movement, but the optimization effect of different graphics is quite different, and no rule can adapt to all situations; the second is the intelligent optimization method, combined with artificial intelligence and bionics algorithms, For example, the ant colony algorithm is used to improve the effect of path optimization. The cutting path generated by this kind of method is closer to the human way of thinking, and the length of space shift is shorter. Handle large-scale graphs

The current automatic path optimization methods are relatively prone to unnecessary single-segment long-distance air movement, which is very dangerous in the laser cutting process

In addition, the current automatic optimization method does not consider the particularity of laser cutting enough, and cannot meet the requirements of laser cutting technology in practice, and even has a large safety hazard

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