{"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}
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.
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.