A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference67 articles.
1. Current and future trends in topology optimization for additive manufacturing;Liu;Struct. Multidiscip. Optim.,2018
2. Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review;Sanaei;Prog. Mater Sci.,2021
3. Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice;Oliveira;Prog. Mater Sci.,2020
4. An analysis of fatigue failure mechanisms in an additively manufactured and shot peened IN 718 nickel superalloy;Salvati;Mater. Des.,2020
5. An analysis of macro- and micro-scale residual stresses of Type I, II and III using FIB-DIC micro-ring-core milling and crystal plasticity FE modelling;Salvati;Int. J. Plast.,2017
Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Physics-informed machine learning framework for creep-fatigue life prediction of a Ni-based superalloy using ensemble learning;Materials Today Communications;2024-12
2. Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review;Journal of Materials Science & Technology;2024-11
3. Evaluating fatigue onset in metallic materials: Problem, current focus and future perspectives;International Journal of Fatigue;2024-11
4. Stress, Strain, or Energy? which one is superior predictor of fatigue life in notched Components? a novel Machine Learning-Based framework;Engineering Fracture Mechanics;2024-10
5. Effect of solution aging treatment on high and very high cycle fatigue properties of nickel-based alloy fabricated by laser powder bed fusion at 25 °C and 650 °C;International Journal of Fatigue;2024-10
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3