The effect of element characteristics on bainite transformation start temperature using a machine learning approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

The effect of element characteristics on bainite transformation start temperature using a machine learning approach

Published:2023-01 Issue:1 Volume:58 Page:443-456
ISSN:0022-2461
Container-title:Journal of Materials Science
language:en
Short-container-title:J Mater Sci

Author:

Liu Yangni,Hou Tingping^ORCID,Yan Zhuang,Yu Tao,Duan Junwen,Xiao Yuhui,Wu Kaiming

Funder

The National Natural Science Foundation of China

The Key Research and Development Program of Hubei Province

Hubei Provincial Colleges and Universities Excellent Young and Middle-aged Science and Technology Innovation Team Project

111 projects

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s10853-022-08035-5.pdf

Reference51 articles.

1. Rodrigues PCM, Pereloma EV, Santos DB (2000) Mechanical properties of an HSLA bainitic steel subjected to controlled rolling with accelerated cooling. Mater Sci Eng, A 283(1–2):136–143. https://doi.org/10.1016/S0921-5093(99)00795-9

2. Yoozbashi MN, Yazdani S, Wang TS (2011) Design of a new nanostructured, high-Si bainitic steel with lower cost production. Mater Des 32(6):3248–3253. https://doi.org/10.1016/j.matdes.2011.02.031

3. Yakubtsov IA, Poruks P, Boyd JD (2008) Microstructure and mechanical properties of bainitic low carbon high strength plate steels. Mater Sci Eng A 480(1–2):109–116. https://doi.org/10.1016/j.msea.2007.06.069

4. Kumar A, Singh A (2021) Mechanical properties of nanostructured bainitic steels. Materialia 15:101034. https://doi.org/10.1016/j.mtla.2021.101034

5. Mao G, Cao R, Chen J (2017) Analysis on bainite transformation in reheated low-carbon bainite weld metals. Mater Sci Technol 33(15):1829–1837. https://doi.org/10.1080/02670836.2017.1325561

Cited by 5 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. Machine learning applications for electrospun nanofibers: a review;Journal of Materials Science;2024-07-30

2. Phase Transformation Temperature Prediction in Steels via Machine Learning;Materials;2024-02-29

3. A Hybrid Method for Calculating the Chemical Composition of Steel with the Required Hardness after Cooling from the Austenitizing Temperature;Materials;2023-12-24

4. Machine Learning Aided Prediction of Glass-Forming Ability of Metallic Glass;Processes;2023-09-21

5. Response of soybean and maize roots and soil enzyme activities to biodegradable microplastics contaminated soil;Ecotoxicology and Environmental Safety;2023-09

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

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