Prediction of mechanical properties of superplastic Inconel* 718 using artificial neural networks
Author:
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Link
http://www.tandfonline.com/doi/pdf/10.1179/026708302225006016
Reference7 articles.
1. Computer Simulation of the Forging of Fine Grain IN-718 Alloy
2. Impact toughness of C–Mn steel arc welds – Bayesian neural network analysis
3. Learning representations by back-propagating errors
4. Neural network modelling and multiobjective optimization of creep feed grinding of superalloys
Cited by 17 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. Establishment and application of an internal-variable-based constitutive model for the superplastic deformation of Inconel 718 alloy;Materials Science and Engineering: A;2024-03
2. Establishment and Application of an Internal-Variable-Based Constitutive Model for the Superplastic Deformation of Inconel 718 Alloy;2023
3. Three-dimensional hot processing map of a nickel-based superalloy (Alloy 925) established by modified artificial neural network model;Intermetallics;2022-02
4. Dynamic behavior and modified artificial neural network model for predicting flow stress during hot deformation of Alloy 925;Materials Today Communications;2020-12
5. Study on Constitutive Relation of Nickel-Base Superalloy Inconel 718 Based on Long Short Term Memory Recurrent Neural Network;Metals;2020-11-27
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