Título

STATIC AND DYNAMIC INDUSTRIAL PROCESS SIMULATION OF ORE BENEFICIATION

STATIC AND DYNAMIC INDUSTRIAL PROCESS SIMULATION OF ORE BENEFICIATION1

Autoria

Martins, Marco Aurélio Soares; Carvalho, Flávio José da Silva; Miranda, Rodrigo César de; Gontijo, Marcelo Montalvão

DOI

10.5151/2594-357x-0018

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Resumo

The technology of mineral processes simulation is a strong tool for processes engineers, operators and designers. It is an excellent way for plant diagnose, projects of new plants, sizing of equipments, sensitivity and risk analysis. The static simulation of mineral processes easily makes flowsheet with coherent and realistic mass balance through phenomenological mathematical models with represent the performances of several units operations all plant. The use of dynamic simulation is a new age in the field of mineral processes optimization. The possibility to simulate a plant dynamically using statistical inferences in feed rate variability and many mathematical models, provides results that could show the complete operation for a long period of time. Also it possible to change some equipments parameters to research optimizing condition, to identify bottlenecks etc. Dynamic simulation can run on-line or off-line. In both condition the time is important and the simulation results must be coherent with a real process. Every flowrate and its physical and mineralogical features are coherent. The results can be storage in a data base and can show in graphics like an industrial plant.

 

The technology of mineral processes simulation is a strong tool for processes engineers, operators and designers. It is an excellent way for plant diagnose, projects of new plants, sizing of equipments, sensitivity and risk analysis. The static simulation of mineral processes easily makes flowsheet with coherent and realistic mass balance through phenomenological mathematical models with represent the performances of several units operations all plant. The use of dynamic simulation is a new age in the field of mineral processes optimization. The possibility to simulate a plant dynamically using statistical inferences in feed rate variability and many mathematical models, provides results that could show the complete operation for a long period of time. Also it possible to change some equipments parameters to research optimizing condition, to identify bottlenecks etc. Dynamic simulation can run on-line or off-line. In both condition the time is important and the simulation results must be coherent with a real process. Every flowrate and its physical and mineralogical features are coherent. The results can be storage in a data base and can show in graphics like an industrial plant.

Palavras-chave

Dynamic simulation; Process optimization; Process control

Dynamic simulation; Process optimization; Process control