Exploration of Laser Marking Path and Algorithm Based on Intelligent Computing and Internet of Things

Gang Lu; Yide Liu; Xue Yao; Jiachen Yang; Cheng Jia

doi:10.1155/2022/7443410

Exploration of Laser Marking Path and Algorithm Based on Intelligent Computing and Internet of Things

Comput Intell Neurosci. 2022 Jun 24:2022:7443410. doi: 10.1155/2022/7443410. eCollection 2022.

Authors

Gang Lu¹, Yide Liu¹, Xue Yao¹, Jiachen Yang², Cheng Jia²

Affiliations

¹ Department of Electrical Engineering & Information Technology, Shandong University of Science and Technology, Jinan, Shandong, China.
² Swinburne College, Shandong University of Science and Technology, Jinan, Shandong, China.

Abstract

Nowadays, laser processing technology is being used more and more in various fields, and the requirements for laser control procedures are getting higher and higher. This paper aims to study the path generation problem of laser marking technology in order to improve the efficiency of laser marking as well as the protection of the marking material. Therefore, we creatively propose two-path generation methods, namely, sawtooth parallel and contour parallel, and design the boundary curve offset algorithm and domain partition intersection algorithm for the computer simulation of the two marking paths, respectively. Through the simulation, we discussed the efficiency and marking quality of the two path generation methods and gave the conclusion that the efficiency of the sawtooth parallel path generation method is greater than that of the contour parallel path generation method under specific parameters.