{"title":"基于机器学习的terum Mexico钢包炉炉渣调理在线模型","authors":"J. Lara, N. Sánchez, A. Zambrano","doi":"10.33313/380/206","DOIUrl":null,"url":null,"abstract":"Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico","PeriodicalId":226675,"journal":{"name":"AISTech2020 Proceedings of the Iron and Steel Technology Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico\",\"authors\":\"J. Lara, N. Sánchez, A. Zambrano\",\"doi\":\"10.33313/380/206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico\",\"PeriodicalId\":226675,\"journal\":{\"name\":\"AISTech2020 Proceedings of the Iron and Steel Technology Conference\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AISTech2020 Proceedings of the Iron and Steel Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33313/380/206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AISTech2020 Proceedings of the Iron and Steel Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33313/380/206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico
Digital technologies are transforming industry at all levels. Steel has the opportunity to lead all heavy industries as an early adopter of specific digital technologies to improve our sustainability and competitiveness. This column is part of AIST’s strategy to become the epicenter for steel’s digital transformation, by providing a variety of platforms to showcase and disseminate Industry 4.0 knowledge specific for steel manufacturing, from big-picture concepts to specific processes. Machine Learning–Based On-Line Model for Slag Conditioning in Ladle Furnaces at Ternium Mexico
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