Suppr超能文献

基于遗传算法的激光打标速度优化研究。

Research on laser marking speed optimization by using genetic algorithm.

作者信息

Wang Dongyun, Yu Qiwei, Zhang Yu

机构信息

The Engineering School, Zhejiang Normal University, Zhejiang, China.

出版信息

PLoS One. 2015 May 8;10(5):e0126141. doi: 10.1371/journal.pone.0126141. eCollection 2015.

Abstract

Laser Marking Machine is the most common coding equipment on product packaging lines. However, the speed of laser marking has become a bottleneck of production. In order to remove this bottleneck, a new method based on a genetic algorithm is designed. On the basis of this algorithm, a controller was designed and simulations and experiments were performed. The results show that using this algorithm could effectively improve laser marking efficiency by 25%.

摘要

激光打标机是产品包装线上最常见的编码设备。然而,激光打标的速度已成为生产的瓶颈。为了消除这一瓶颈,设计了一种基于遗传算法的新方法。在此算法的基础上,设计了一个控制器并进行了仿真和实验。结果表明,使用该算法可有效提高激光打标效率25%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bf3/4425409/8a00467fc829/pone.0126141.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验