Surrogate Modelling of Processes for Granular Material Thermal Treatment

Abstract. Mathematical modeling of heat aggregates is one of the fundamental methods of the mathematical modelling research. A mathematical model based on the method of elementary balances was created for the thermal treatment of granular and lumpy materials. The adaptation of the selected aggregate model is based on prior knowledge and experiments. The paper presents an adaptation of the mathematical model for the magnesite processing rotary furnace using the mode of caustic and clinker production. A simulation of the charge preheater impact based on the thin layer principle is implemented into the model. The main advantages of using this type of preheater of rotary furnace are smaller dimensions for a large exchange surface and low pressure losses.

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“…The mathematical model contains the components for the rotary furnace simulation with the preheater and cooler (Fig. 4) [8,9].…”

Section: Mathematical Model Of the Granular Materials Thermal Treatmentmentioning

confidence: 99%

Simulation Analysis of Preheater Charge to the Rotary Furnace

2015

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“…Each zone is decomposed into the layers and elements (Fig. 7) [8]. Model includes calculation of geometrical and thermodynamical parameters, and processes inside the furnace.…”

Section: Rotary Furnace Mathematical Modelmentioning

confidence: 99%

Model based control of rotary furnaces for magnesia sintering

Koštial

Spišák

Mikula

et al. 2011

2011 12th International Carpathian Control Conference (ICCC)

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Rotary furnace simulation model was used for a model-based control on behalf of the on-line interactive communication. Developed model is used for the support of direct and supervisory control. On the direct control level model is used for process observation and process prediction.On the supervisory level model is used for process planning, and execution of the task segments through the autonomous controllers. For the purposes of outlining tasks, a human operator controls a simulation model to generate a sequential list of desired sub-goals for a furnace. A graphic user interface displays operational state and process parameters. The human operator is specifying controller's set-points. The autonomous control capabilities of the furnace are used to coordinate the actual trajectory between set-points. Provision is made to preview the proposed trajectory for approval or modification before the execution.

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“…The best way is determination of complex state indicators. A surrogate modelling technique has been used (Kostial, Terpak, Mikula, 2006) by which the manipulation technique is predicted and optimised. The optimisation problem is solved using numerical programming methods.…”

Section: Process Manipulation Toolsmentioning

confidence: 99%