Prediction of Hot Deformation Behavior in AlCoCrFeNi2.1 Eutectic High Entropy Alloy by Conventional and Artificial Neural Network Modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Media Technology
Link
https://link.springer.com/content/pdf/10.1007/s41403-023-00439-2.pdf
Reference26 articles.
1. Alaneme KK, Okotete EA (2019) Recrystallization mechanisms and microstructure development in emerging metallic materials: a review. J Sci Adv Mater Devices 4:19–33. https://doi.org/10.1016/j.jsamd.2018.12.007
2. Altinkok N, Koker R (2004) Neural network approach to prediction of bending strength and hardening behaviour of particulate reinforced (Al–Si–Mg)-aluminium matrix composites. Mater Des 25:595–602. https://doi.org/10.1016/j.matdes.2004.02.014
3. Cantor B, Chang ITH, Knight P, Vincent AJB (2004) Microstructural development in equiatomic multicomponent alloys. Mater Sci Eng A 375–377:213–218. https://doi.org/10.1016/j.msea.2003.10.257
4. Chen J, Zhou X, Wang W et al (2018) A review on fundamental of high entropy alloys with promising high-temperature properties. J Alloys Compd 760:15–30. https://doi.org/10.1016/j.jallcom.2018.05.067
5. Gao X, Li HX, Han L et al (2018) Constitutive modeling and activation energy maps for a continuously cast hyperperitectic steel. Metall Mater Trans A Phys Metall Mater Sci 49:4633–4648. https://doi.org/10.1007/s11661-018-4801-2
Cited by 3 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. Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy;Journal of Materials Research and Technology;2024-07
2. Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques;Journal of Materials Research and Technology;2024-05
3. Predicting the effect of Ta on the mechanical behaviour and experimental validation of novel six component Fe-Co-Ni-Cr-V-Ta eutectic high entropy alloys;International Journal of Refractory Metals and Hard Materials;2024-04
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