Fatigue limit prediction and analysis of nano-structured AISI 304 steel by severe shot peening via ANN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
https://link.springer.com/content/pdf/10.1007/s00366-020-00964-6.pdf
Reference68 articles.
1. Amanov A, Karimbaev R, Maleki E, Unal O, Pyun Y, Amanov T (2019) Effect of combined shot peening and ultrasonic nanocrystal surface modification processes on the fatigue performance of AISI 304. Surf Coat Technol 358:695–705
2. Maleki E, Unal O, Rreza Kashyzadeh K (2018) Effects of conventional, severe, over, and re-shot peening processes on the fatigue behavior of mild carbon steel. Surf Coat Technol 344:62–74
3. Unal O, Maleki E, Varol R (2018) Effect of severe shot peening and ultra-low tempera-ture plasma nitriding on Ti-6Al-4V alloy. Vacuum 150:69–78
4. Marteau J, Bigerelle M (2015) Relation between surface hardening and roughness induced by ultrasonic shot peening. Tribol Int 83:105–113
5. Liu S, Gao SY, Zhou YF, Xing XL, Hou XR, Yang YL, Yang QX (2014) A research on the microstructure evolution of austenite stainless steel by surface mechanical attrition treatment. Mater Sci Eng A 617:127–138
Cited by 38 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. Ultra-low cycle fatigue life prediction of stainless steel based on transfer learning guided artificial neural network;Engineering Applications of Artificial Intelligence;2024-10
2. Microstructure evolution and surface strengthening behavior of 300 M ultrahigh strength steel under engineered surface treatments;Materials Characterization;2024-09
3. Fatigue prediction and optimization of laser peened turbine blade using artificial neural networks and ANFIS;Fatigue & Fracture of Engineering Materials & Structures;2024-08-13
4. Numerical simulation and high cycle fatigue behaviour study on shot peening of MAR-M247 nickel-based alloy;International Journal of Fatigue;2024-05
5. Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review;Progress in Organic Coatings;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