A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features
Author:
Publisher
Elsevier BV
Subject
Metals and Alloys,Surfaces, Coatings and Films,Biomaterials,Ceramics and Composites
Reference41 articles.
1. Enhanced high-temperature oxidation resistance of low-cost Fe–Cr–Ni medium entropy alloy by Ce-adulterated;Du;J Mater Res Technol,2022
2. Optimization of stainless steel composition for fuel cell bipolar plates;Huang;Acta Metall Sin,2021
3. Effect of high temperature service on the complex through-wall microstructure of centrifugally cast HP40 reformer tube;Dessolier;Mater Char,2021
4. Feasibility assessment of local repairment for reformer furnace tubes in service exposure;Fuyang;Int J Pres Ves Pip,2020
5. Development of a magnetic sensor for detection of moderate carburization damages in heat-resistant HP-Nb tubes of steam reforming furnaces;Lopez;J Mater Res Technol,2018
Cited by 20 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. Modeling of the hot-deformation behavior of Fe-Ni-Al maraging steel using constitutive equations and machine learning algorithms;Journal of Materials Science;2024-09-10
2. Thermal conductivity prediction of Al2O3-doped tetragonal YSZ coatings using deep learning;Journal of the European Ceramic Society;2024-09
3. An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys;Integrating Materials and Manufacturing Innovation;2024-08-12
4. Construction of a prediction model for properties of wear-resistant steel using industrial data based on machine learning approach;Journal of Iron and Steel Research International;2024-08-05
5. Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives;Integrating Materials and Manufacturing Innovation;2024-07-15
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