A comparative study of multiple regression analysis and back propagation neural network approaches on plain carbon steel in submerged-arc welding
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12046-016-0494-7.pdf
Reference33 articles.
1. Weimann D H 1991 A study of welding procedure generation for submerged-arc welding process. Queen’s University of Belfast
2. Chandel R, Seow H and Cheong F 1997 Effect of increasing deposition rate on the bead geometry of submerged arc welds. J. Mater. Process. Technol. 72(1): 124–128
3. Apps R L, Gourd L M, Lelson K A 1963 Effect of welding variables upon bead shape and size in SAW. Weld Metal Fabrication 31: 453–457
4. Kiran D, Basu B and De A 2012 Influence of process variables on weld bead quality in two wire tandem submerged arc welding of HSLA steel. J. Mater. Process. Technol. 212(10): 2041–2050
5. Lee C, Chandel R and Seow H 2000 Effect of welding parameters on the size of heat affected zone of submerged arc welding. Mater. Manuf. Process. 15(5): 649–666
Cited by 25 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. Process parameter optimization of submerged arc welding on mild steel AISI 1020 using an artificial neural network trained with multi-objective Jaya algorithm;The International Journal of Advanced Manufacturing Technology;2024-09-07
2. Application of Convolutional Neural Networks for Classifying Penetration Conditions in GMAW Processes Using STFT of Welding Data;Applied Sciences;2024-06-04
3. Artificial Neural Network-Based Modelling for Yield Strength Prediction of Austenitic Stainless-Steel Welds;Applied Sciences;2024-05-16
4. Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective;Australian Journal of Mechanical Engineering;2023-08-21
5. CFD analysis and calculation models establishment of leakage of natural gas pipeline considering real buried environment;Energy Reports;2022-11
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