AISTech 2022 Proceedings of the Iron and Steel Technology Conference最新文献

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CO2 Reduction Options for High-Temperature Heating in the Iron and Steel Industry 钢铁工业高温加热二氧化碳减排方案
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/134
S. Brown, M. Cochran, K. Cokain
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引用次数: 0
Industry 4.0 Operator Training: TrainLab Provides 3D Self-Education and Improves Learning Retention 工业4.0操作员培训:TrainLab提供3D自我教育,提高学习记忆
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/154
L. De Plaen, F. Pizzuto
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引用次数: 0
Numerical Simulation of Desulfurization in a Steel Ladle 钢包内脱硫的数值模拟
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/068
X. Guo, C. Mao, A. Silaen, V. Thapliyal, N. Walla, C. Zhou
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引用次数: 0
Analysis of Deviations During Blast Furnace Smelting in the Blow-In Period and Measures to Prevent and Eliminate Them 高炉熔炼初磨期偏差分析及预防和消除措施
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/024
M. Alter, N. Inozemtsev, N. Logvinov, A. Pishikin, E. Scheglov, O. Semyonov, V. Titov
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引用次数: 0
Development of Nanoprecipitation-Strengthened Cold-Rolled Batch Annealed HSLA Sheet Steels (>490MPa Yield Strength) With Superior Formability 具有优异成形性的纳米沉淀强化冷轧批量退火HSLA薄板(屈服强度>490MPa)的研制
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/128
S. Bhartiya, S. Biswas, B. Chen, A. De, V. Injeti, M. Sexton
{"title":"Development of Nanoprecipitation-Strengthened Cold-Rolled Batch Annealed HSLA Sheet Steels (>490MPa Yield Strength) With Superior Formability","authors":"S. Bhartiya, S. Biswas, B. Chen, A. De, V. Injeti, M. Sexton","doi":"10.33313/386/128","DOIUrl":"https://doi.org/10.33313/386/128","url":null,"abstract":"A low-carbon Ti-microalloyed chemistry was selected for the development of family of cold-rolled and batch-annealed high-strength high-formable steels. A clean steel practice combined with a suitable choice of hot rolling and batch annealing practice were optimized to retain precipitate strengthening in the final fully processed steel and microstructural attributes that resulted in superior forming characteristics. In this paper, production strategy and advanced material characterization of high-strength, low-alloy steels with minimum yield strength of 490 MPa will be discussed,","PeriodicalId":444523,"journal":{"name":"AISTech 2022 Proceedings of the Iron and Steel Technology Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129058498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Anomaly Detection of the Continuous Casting Strand Guide by Monitoring the Withdrawal Force Using Machine Learning 基于机器学习的连铸钢绞架抽离力异常检测
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/071
L. Martins Demuner, F. Ramstorfer, G. Yoshiharu Sato
{"title":"Anomaly Detection of the Continuous Casting Strand Guide by Monitoring the Withdrawal Force Using Machine Learning","authors":"L. Martins Demuner, F. Ramstorfer, G. Yoshiharu Sato","doi":"10.33313/386/071","DOIUrl":"https://doi.org/10.33313/386/071","url":null,"abstract":"","PeriodicalId":444523,"journal":{"name":"AISTech 2022 Proceedings of the Iron and Steel Technology Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115832559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-Time Slopping Prediction Based on Recurrent Neural Networks 基于循环神经网络的实时倾斜度预测
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/053
M. Christ, C. Kirmse, D. Yuan
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引用次数: 0
Automatic Scrap Bucket Handling by Charging Crane at ABS Meltshop ABS熔化车间装料起重机自动处理废钢桶
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/186
L. Bacchetti, F. Foschiani
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引用次数: 0
Optimized Tool Use of Saw Blades on Cold Circular Saws Through the Use of a Condition Monitoring System 通过使用状态监测系统优化冷圆锯上锯片的刀具使用
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/157
H. Huemer, A. Kellner, R. Pollhamer
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引用次数: 0
Regenerative Burner Systems With Hydrogen Fuel for Decarbonization of High-Temperature Processes 用于高温过程脱碳的氢燃料蓄热式燃烧器系统
AISTech 2022 Proceedings of the Iron and Steel Technology Conference Pub Date : 1900-01-01 DOI: 10.33313/386/136
J. Dzik, M. Hannum
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引用次数: 0
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