球磨机性能预测模型的研究与应用

The research and application of ball mill performance prediction model

基于模型的计算机仿真有助于磨机回路的优化,模型的校正和参数的获得需要对实际系统进行实验以获得数据,但对于球磨机这样一个大型设备这需要相当多的样本并且成本昂贵。为解决这个问题,JKMRC用小型实验室磨机的测试结果校准数学模型用以预测大型磨机的性能。本文对此模型进行了介绍,并对模型中的功耗部分进行了改进,将最新的功耗研究成果成功融入JKMRC模型。最后将两个模型针对现场数据的仿真结果进行了对比和验证,结果表明改进模型能够更加精确的预测磨机性能。

Computer simulation based on mathematical models is very valuable for optimizing the ball mill circuits. But running such large-scale ball mill circuit to calibrate the mathematical models requires a reasonably large sample and therefore can be costly. To overcome these limitations in using modeling and simulation, a method was initiated at the JKMRC in which it was proposed to use laboratory ball mill test results to calibrate a ball mill mathematical model for use in predicting full scale plant performance. This article introduced this model, improved the power loss part of the model, and integrated the latest research results power model into the JKMRC successfully. Finally, the two models＇ simulation results based on field data were compared and validated, and the results show that the improved model can the performance of ball mill circuits more accurately.