基于物理启发的人工智能铁矿球团厂冷破碎强度模型

IF 1.3 4区材料科学 Q3 METALLURGY & METALLURGICAL ENGINEERING

Canadian Metallurgical Quarterly Pub Date : 2024-09-02 DOI:10.1080/00084433.2024.2395616

Satyanarayana Lalam, Amiya K. Jana, Srinivas Dwarapudi

引用次数: 0

摘要

直篦式压球机生产的铁矿球团的冷破碎强度（CCS）对其质量和性能至关重要。本研究探索了两种建模方法，以计算铁矿石球团的冷破碎强度（CCS）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Physics-inspired AI-based model for cold crushing strength of an iron ore pellet plant

The cold crushing strength (CCS) of iron ore pellets produced in a straight grate indurating machine is critical to their quality and performance. This study explored two modelling approaches to ac...

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来源期刊

Canadian Metallurgical Quarterly 工程技术-冶金工程

CiteScore

1.90

自引率

11.10%

发文量

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.