预测钢包铝含量并保护其耐火衬的人工智能方法

IF 1.3 4区 材料科学 Q3 METALLURGY & METALLURGICAL ENGINEERING
Vedant Ajwani, Nalini Ajwani, Anjul Rai
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引用次数: 0

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Artificial intelligence approach to predict ladle aluminium content and to protect its refractory lining
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来源期刊
Canadian Metallurgical Quarterly
Canadian Metallurgical Quarterly 工程技术-冶金工程
CiteScore
1.90
自引率
11.10%
发文量
97
审稿时长
6 months
期刊介绍: Canadian Metallurgical Quarterly publishes original contributions on all aspects of metallurgy and materials science, including mineral processing, hydrometallurgy, pyrometallurgy, materials processing, physical metallurgy and the service behaviour of materials. An invaluable resource for international researchers and professionals engaged in interdisciplinary research in metallurgy and materials science.
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