ANDRITZ (China) Ltd.
METALS Shanghai
In the steel industry, annealing furnaces are used to control the material and surface properties by means of heat treatment. The continuously increasing demand on the product quality is a challenge for temperature control. To achieve the desired product quality, the material has to be heated according to a predefined temperature trajectory. However, due to the high thermal inertia of the furnace, the very few temperature measurements, and an ongoing diversification of product portfolios, heating is a demanding control task, especially in transient furnace operations.
A reasonable control concept for the material temperature that facilitates the consideration of all these challenges is model predictive control. It is suitable for complex nonlinear systems such as annealing furnaces and, it allows the incorporation of secondary control goals like the maximization of the throughput, the minimization of energy consumption, and the minimization of CO2 emissions. The basis for model predictive strip temperature control is a computational inexpensive mathematical model of the furnace that captures the most important nonlinear effects.
ANDRITZ Advanced Furnace Control is fully in line with the Industry 4.0 paradigm, allowing the extraction of more information of the underlying process without measurements. Quality data like the heat-up curve can be integrated in any kind of data mining and analysis system.
Advanced Furnace Control is available for both new installations, and revamping projects. Due to its flexible design the applicable range of Advanced Furnace Control is not limited by age or vendor of the furnace, since it can be easily adapted to the project specific requirements.