On the use of machine learning for predicting femtosecond laser grooves in tribological applications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

On the use of machine learning for predicting femtosecond laser grooves in tribological applications

Published:2024-12 Issue: Volume:200 Page:110067
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Moles Luis^ORCID,Llavori Iñigo,Aginagalde Andrea^ORCID,Echegaray Goretti,Bruneel David^ORCID,Boto Fernando,Zabala Alaitz

Funder

Eusko Jaurlaritza

Publisher

Elsevier BV

Reference52 articles.

1. The impact of tribology on energy use and CO2 emission globally and in combustion engine and electric cars;Holmberg;Tribol Int,2019

2. Laser surface texturing and related techniques for enhancing tribological performance of engineering materials: A review;Mao;J Manuf Process,2020

3. Multi-scale surface texturing in tribology—Current knowledge and future perspectives;Grützmacher;Lubricants,2019

4. Hydrodynamic lubrication of textured surfaces: A review of modeling techniques and key findings;Gropper;Tribol Int,2016

5. Recent development on surface texturing in enhancing tribological performance of bearing sliders;Ibatan;Surf Coat Technol,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP