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在SAG机床中研磨工艺的开发MPC,使用DEM对线条磨损的调查

Ilia Beloglazov¹, Vyacheslav Plaschinsky²

¹Department of Automation of Technological Processes and Production, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia.

Materials (Basel, Switzerland)

|February 24, 2024

概括

优化半自动研磨 (SAG) 磨床层通过先进的建模,减少了40-50%的磨损. 这提高了采矿操作中的能源效率和设备寿命.

科学领域:

矿物加工和材料科学矿物加工和材料科学
机械工程和三角学.

背景情况:

提高采矿业务的能源效率至关重要,特别是在半自主研磨机 (SAG) 中.
最佳的操作参数,升降机设计和材料选择是SAG工厂效率的关键.
矿石特性,内设计和升降机磨损之间的相互作用需要进一步调查.

研究的目的:

分析SAG工厂的岩石研磨工艺和升降机磨损情况.
调查不同面设计对磨损和磨削效率的影响.
开发一个控制系统,以优化SAG工厂的运行.

主要方法:

使用离散元件方法 (DEM) 模拟来建模阿帕石-尼菲林矿石研磨.
模拟了不同类型的内,以评估它们对磨损和工艺参数的影响.
阿查德磨损模型被用来预测升降机的使用寿命.
模型预测控制 (MPC) 策略是使用变频驱动器 (VFD) 开发的.

主要成果:

级联模式层经历了冲击磨损的磨损,而其他模式显示主要是磨损的磨损.
经过优化设计,观察到线性磨损的平均减少为40-50%.
阿查德模型准确地根据材料特性复制了磨损过程.
设计了一个控制系统,通过VFD和MPC优化磨床鼓旋转速度.

结论:

优化的内设计显著减少了SAG工厂的磨损,提高了运营效率.
阿查德模型是预测磨床磨损的可靠工具.
集成VFD和MPC提供了一种强大的方法来控制SAG磨机速度以获得最佳性能.

关键词:

阿尔查德模型的模型这就是为什么DEMEM.在 SAG 的磨坊里.磨损磨损磨损的磨损使用情况.冲击磨损的影响磨损.在内衣中穿戴.矿物研磨磨矿物研磨矿物研磨模型预测控制模型预测控制数字建模数字建模耐磨性耐磨性耐磨性耐磨性

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