人工智能(AI)在防腐领域的应用

IF 2.3 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Anti-corrosion Methods and Materials Pub Date : 2023-07-12 DOI:10.1108/acmm-03-2023-2769
Zhifeng Lin, Wei Zhang, Jiawei Li, J. Yang, Bing Han, Peng Xie
{"title":"人工智能(AI)在防腐领域的应用","authors":"Zhifeng Lin, Wei Zhang, Jiawei Li, J. Yang, Bing Han, Peng Xie","doi":"10.1108/acmm-03-2023-2769","DOIUrl":null,"url":null,"abstract":"\nPurpose\nAs a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research.\n\n\nDesign/methodology/approach\nIn this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction.\n\n\nFindings\nWith efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs.\n\n\nOriginality/value\nThis paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.\n","PeriodicalId":8217,"journal":{"name":"Anti-corrosion Methods and Materials","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of artificial intelligence (AI) in the area of corrosion protection\",\"authors\":\"Zhifeng Lin, Wei Zhang, Jiawei Li, J. Yang, Bing Han, Peng Xie\",\"doi\":\"10.1108/acmm-03-2023-2769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nAs a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research.\\n\\n\\nDesign/methodology/approach\\nIn this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction.\\n\\n\\nFindings\\nWith efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs.\\n\\n\\nOriginality/value\\nThis paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.\\n\",\"PeriodicalId\":8217,\"journal\":{\"name\":\"Anti-corrosion Methods and Materials\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anti-corrosion Methods and Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1108/acmm-03-2023-2769\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METALLURGY & METALLURGICAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-corrosion Methods and Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1108/acmm-03-2023-2769","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

腐蚀是工业中常见的故障形式,它会造成巨大的经济损失。当前,随着计算技术的发展,人工智能(AI)在科学研究领域发挥着越来越重要的作用。本文旨在综述人工智能在防腐研究中的应用。本文从防腐材料与方法、腐蚀图像识别、腐蚀寿命预测等方面系统阐述了人工智能在腐蚀防护中的作用。通过高效、深入的数据处理方法,人工智能可以快速推进防腐材料和方法、腐蚀图像识别、腐蚀寿命预测等方面的研究进程,节约成本。原创性/价值本文总结了人工智能在防腐研究中的应用,为腐蚀工程师快速、全面地了解人工智能的作用,改进生产工艺提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of artificial intelligence (AI) in the area of corrosion protection
Purpose As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research. Design/methodology/approach In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction. Findings With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs. Originality/value This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Anti-corrosion Methods and Materials
Anti-corrosion Methods and Materials 工程技术-冶金工程
CiteScore
2.80
自引率
16.70%
发文量
61
审稿时长
13.5 months
期刊介绍: Anti-Corrosion Methods and Materials publishes a broad coverage of the materials and techniques employed in corrosion prevention. Coverage is essentially of a practical nature and designed to be of material benefit to those working in the field. Proven applications are covered together with company news and new product information. Anti-Corrosion Methods and Materials now also includes research articles that reflect the most interesting and strategically important research and development activities from around the world. Every year, industry pays a massive and rising cost for its corrosion problems. Research and development into new materials, processes and initiatives to combat this loss is increasing, and new findings are constantly coming to light which can help to beat corrosion problems throughout industry. This journal uniquely focuses on these exciting developments to make essential reading for anyone aiming to regain profits lost through corrosion difficulties. • New methods, materials and software • New developments in research and industry • Stainless steels • Protection of structural steelwork • Industry update, conference news, dates and events • Environmental issues • Health & safety, including EC regulations • Corrosion monitoring and plant health assessment • The latest equipment and processes • Corrosion cost and corrosion risk management.
期刊最新文献
Effect of graphene on mechanical and anti-corrosion properties of TiO2-SiO2 sol-gel coating Enhancing the corrosion resistance of a novel bio-compatible Mg-1Zn-0.45Ca alloy in simulated body fluid by a phosphate treated PEO coating A case study: anti-corrosion performances of plasma sprayed AT13 coatings on CrZrCu thin wall cylinder with adjusted parameters for controlling deformation A highly efficient method for characterizing the kinetics of hydrogen evolution reaction Research of two kinds of PANI@semiconductor based photocathodic coating corrosion protection effect and mechanism
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1