The Development of an Artificial Neural Network Model to Predict Heating-Line Positions for Plate Forming in Induction Heating Process
Author:
Affiliation:
1. a Department of Mechanical Engineering , Chonnam National University , Gwang-ju , Korea
2. b Department of Mechatronics Engineering , Jinju National University , Jinju , Korea
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Condensed Matter Physics,Aerospace Engineering,Automotive Engineering,General Mathematics,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/15397730902769356
Reference18 articles.
1. Derivation of simplified formulas to predict deformations of plate in steel forming process with induction heating
2. Analysis of a multilayered plate containing a cuboidal inclusion with eigenstrains
3. Designing of suitable construction of high-frequency induction heating coil by using finite-element method
4. SIMULATIONS AND VERIFICATIONS OF INDUCTION HEATING ON A MOLD PLATE
5. Analysis of magneto-thermal coupled problem involving moving eddy-current conductors
Cited by 14 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. Inverse kinematics analysis of a wrist rehabilitation robot using artificial neural network and adaptive Neuro-Fuzzy inference system;Mechanics Based Design of Structures and Machines;2024-05-22
2. Using a Novel CNN Model for Predicting the Induction Heating Lines to Obtain a Desired Deformed Shape of Steel Plate;International Journal of Precision Engineering and Manufacturing;2023-07-27
3. A Study on Prediction of Heating Positions using Faster R-CNN in Line Heating of a Steel Plate;Journal of the Korean Society of Manufacturing Process Engineers;2023-06-30
4. Prediction of line heating deformation on sheet metal based on an ISSA–ELM model;Scientific Reports;2023-01-23
5. Using Machine Learning to Predict Heat Affected Zone in Steel Induction Heating;2022 22nd International Conference on Control, Automation and Systems (ICCAS);2022-11-27
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