Trajectory Optimization of Pneumatic Marking Needle Based on Genetic Algorithm

Abstract

Due to the ability to print all types of characters and patterns on the surface of metal parts or components, pneumatic marking machine is widely used in machinery, automobile, aerospace and other fields. For reducing equipment wear and extending equipment life, reducing the printing time as well as printing distance are the key points. In this paper, path optimization objective function model is established which refers to the TSP model. And the genetic operations such as genetic coding, fitness function, selection operator, crossover operator and mutation operator are described. The simulation results show that the optimization of the pneumatic marking path by using genetic algorithm can significantly improve the marking efficiency.