Get a Quote

crusher mm iron ore

simheuristic-based decision support system for efficiency

simheuristic-based decision support system for efficiency

The production rate of an ore crushing circuit depends on the amount of equipment in operation. If the amount of active equipment is less than the optimum level, the reduced ore flow paths restrict the production rate. However, if the amount of active equipment is greater than the optimum level, the excess circulating load ore and extra energy consumption reduce the circuit efficiency. In addition, the optimum amount of active equipment can change over time due to changes in the ore characteristics, such as hardness and particle size. In this paper, a decision support system is proposed for optimizing the amount of active equipment for maximum crushing production considering changes in the circuit feed rate. The proposed solution is based on a simheuristic approach in which a simulated plant model is used to evaluate the production rate. Real production scenarios at a Brazilian mining plant are used in computational experiments. The results show that the simheuristic solutions generate a higher production rate and result in less energy consumption. Production is increased by up to 9%, and energy consumption is reduced by up to 59%, demonstrating the efficacy of the proposal.

china sbm mineral ore quarry crusher for ore - china

china sbm mineral ore quarry crusher for ore - china

Main Products: Impact Crusher/Jaw Crusher / Cone Crusher, Rock Crusher/Stone Crusher/Hammer Crusher, Mobile Crusher/Mobile Jaw Crusher, Mobile Cone Crusher /Mobile Impact Crusher, Ball Mill/Raymond Mill/Hammer Mill, Vetical Mill/Cement Plant /Cement Mill, Magnetic Separator/Sand Washing Machine, Belt Conveyor/Vibrating Feeder/Vibrating Screen, Flotation Machine /High Frequency Screen, Sand Making Machine/Spiral Classfier/Rotary Kiln

Related News
Contact Us

Do you need to know the product price? model? Configuration scheme? Output? Please leave your correct message and we will reply you within 24 hours.

I accept the Data Protection Declaration