Modeling surface roughness of point robot laser hardening, with emphasis on the surface

Politehnika Pub Date : 2021-06-18 DOI:10.36978/cte.5.1.1
M. Babič
{"title":"Modeling surface roughness of point robot laser hardening, with emphasis on the surface","authors":"M. Babič","doi":"10.36978/cte.5.1.1","DOIUrl":null,"url":null,"abstract":"The topic of Machine Learning is so popular that it is not only the future trend, but also the money tide. Machine learning technique and intelligent system methods are very popular in mechanical engineering. Robot laser surface hardening is one of the most promising techniques for surface modification of the microstructure of a material to improve wear and corrosion resistance. For predicting the surface roughness of the hardened specimens, the support vector machine and multiple regression is used. The aim of this paper is to present modeling roughness of point robot laser hardened specimens with different parameters of robot laser cell.","PeriodicalId":32796,"journal":{"name":"Politehnika","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Politehnika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36978/cte.5.1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The topic of Machine Learning is so popular that it is not only the future trend, but also the money tide. Machine learning technique and intelligent system methods are very popular in mechanical engineering. Robot laser surface hardening is one of the most promising techniques for surface modification of the microstructure of a material to improve wear and corrosion resistance. For predicting the surface roughness of the hardened specimens, the support vector machine and multiple regression is used. The aim of this paper is to present modeling roughness of point robot laser hardened specimens with different parameters of robot laser cell.
对点机器人的表面粗糙度进行激光硬化建模,重点研究表面粗糙度
机器学习的话题如此受欢迎,不仅是未来的趋势,也是钱潮。机器学习技术和智能系统方法在机械工程中非常流行。机器人激光表面硬化是一种最有前途的材料微观结构表面改性技术,以提高材料的耐磨性和耐腐蚀性。采用支持向量机和多元回归方法预测硬化试样的表面粗糙度。本文的目的是在不同的机器人激光单元参数下,建立点机器人激光硬化试样的粗糙度模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
5
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信