摘要
磨机运行时筒体内部负荷是工艺人员进行决策的重要参数,是工艺系统优化的基础。SINO铁矿φ12.2 m×11.0 m自磨机采用Loadcell传感器测量磨机负荷,存在稳定性差、数值漂移等问题。通过对现场试验数据进行分析,研究磨机转速、油温等因素对轴承油压的影响,以及滑履轴承油压不均对负荷的影响,最终建立了由滑履轴承油压计算磨机负荷的数学模型;将由此模型计算的磨机负荷与现场Loadcell测量的磨机负荷进行对比和修正后,相对误差小于3%。该方法具有实施成本低、精度高和稳定性好等优点,便于现场应用与推广。
The charge load inside the mill is an important parameter for technical personnel to make decision during the operation of the mill, which is the basis of process optimization and control. In SINO iron mine, Loadcell sensor was applied to φ 12.2 m×11.0 m AG mill for measurement of charge load, there existed poor stability and numerical drift. After analyzing the field test data, the paper studied the influence of velocity and oil temperature of the mill on the oil pressure of the bearing, as well as the influence of uneven oil pressure of the multi-pad bearing on the charge load. And then, it built the mathematical model of calculating the mill charge via the oil pressure of the multi-pad bearing. The relative error between the mill charge calculated by the model and the measured one via field Loadcell sensor was less than 3%. The method was characterized by low cost, high precision and excellent stability, which was easy to field application and popularization.
出处
《矿山机械》
2017年第9期33-38,共6页
Mining & Processing Equipment
关键词
自磨机
滑履轴承
轴承油压
油温
磨机负荷
AG mill
multi-pad bearing
oil pressure of the bearing
oil temperature
charge load of mill