Shot Peening Process Effects on Metallurgical and Mechanical Properties of 316 L Steel via: Experimental and Neural Network Modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Materials Chemistry,Metals and Alloys,Mechanics of Materials,Condensed Matter Physics
Link
http://link.springer.com/content/pdf/10.1007/s12540-019-00448-3.pdf
Reference62 articles.
1. A.L. Garcia-Garcia, M. Alvarez-Vera, L.A. Montoya-Santiyanes, I. Dominguez-Lopez, J.L. Montes-Seguedo, J.C. Sosa-Savedra, J.D.O. Barceinas-Sanchez, Regression models to predict the behavior of the coefficient of friction of AISI 316L on UHMWPE under ISO 14243-3 conditions. J. Mech. Behav. Biomed. Mater. 82, 248–256 (2018)
2. F. Hosseinzadeh, S. Hossain, C.E. Truman, D.J. Smith, Measurement and prediction of residual stresses in quenched stainless steel components. Exp. Mech. 54, 1151–1162 (2014)
3. L. Gil, S. Brühl, L. Jiménez, O. Leon, R. Guevara, M.H. Staia, Corrosion performance of the plasma nitrided 316L stainless steel. Surf. Coat. Technol. 201, 4424–4429 (2006)
4. J.V. Stolen, L. Labey, R.V. Audekercke, G.V. Perre, Materials selection and design for orthopaedic implants with improved long-term performance. Biomaterials 19, 1455–1459 (1998)
5. Z. Sun, X. Tan, S.B. Tor, W.Y. Yeong, Selective laser melting of stainless steel 316L with low porosity and high build rates. Mater. Des. 104, 197–204 (2016)
Cited by 47 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. Sand blasting for hydrophobic surface generation in polymers: Experimental and machine learning approaches;Applied Surface Science Advances;2024-09
2. Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy;Frattura ed Integrità Strutturale;2024-08-14
3. Akışla dövme GOV ve aşındırıcı macunla işleme AMİ proseslerinin Ti-6Al-4V havacılık malzemesinde deneysel kıyaslanması;Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi;2024-05-20
4. Prediction Model of Liquid Level Fluctuation in Continuous Casting Mold Based on GA-CNN;Metallurgical and Materials Transactions B;2024-03-06
5. Surface quality enhancement of cold work tool steel by GOV (flow peening) process versus abrasive flow machining;Sādhanā;2024-01-17
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