Ultra-precision laser cutting path optimization method and system

Optimizing the laser cutting path through genetic algorithms solves the problem of inefficient cutting path planning in traditional methods, and efficient cutting of complex shape components is achieved, and cutting quality and component performance are improved.

CN120502887AInactive Publication Date: 2025-08-19JIANGSU XINDINGYUAN TECH CO LTD
8 Cites 2 Cited by

Patent Information

Application Number
CN202510856211.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-08-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When traditional laser cutting path planning methods deal with complex-shaped components, there are too long cutting paths, many empty stroke times, and low cutting efficiency, making it difficult to achieve optimal cutting path planning, which affects the cutting quality and performance of mechanical parts.

Method used

Genetic algorithms are used to optimize the laser cutting path. By obtaining the CAD model of mechanical parts, extracting contour information and discrete nodes, designing a fitness function to evaluate chromosomes and genetically operate, iteratively optimize the cutting path until an optimal or approximately optimal cutting scheme is achieved.

Benefits of technology

It improves laser cutting efficiency, reduces cutting time and empty stroke length, ensures cutting quality, improves the processing accuracy and surface quality of mechanical parts, and extends the service life of the product.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of laser cutting, in particular to an ultra-precision laser cutting path optimization method and system.The method comprises the steps that a CAD model of a mechanical part is obtained, contour information of the mechanical part is extracted, the contour is discretized into a series of nodes, and technological parameters of laser cutting and motion constraint conditions of cutting equipment are determined; a laser cutting path is obtained according to the extracted contour information, nodes in the cutting path are coded into chromosomes in sequence, and each chromosome represents a cutting path scheme; designing a fitness function to evaluate each chromosome to obtain a fitness value of each chromosome; and performing genetic manipulation and iterative optimization on each chromosome according to the fitness value until a termination condition is met, obtaining the chromosome with the highest fitness, and decoding the chromosome into an optimized ultra-precision laser cutting path. According to the method, the genetic algorithm and the fitness function are planned and designed for the ultra-precision laser cutting path, global optimization of the cutting path is achieved, and the cutting efficiency and quality are improved.
Need to check novelty before this filing date? Find Prior Art