|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Flow Detection Module – A New Model to Predict the Flow in Open Pit Anode Baking Furnaces
||Detlef Maiwald, Domenico Di Lisa, Frank Heinke, Florian Krummrich
|On-Site Speaker (Planned)
The continuous measurement of the flow inside the flues of baking furnaces is still a challenge and not solved. As a substitute, the draught is measured in one position of each flue to determine the existence of a volume or flow. Knowing the real flow would be of the essence for a more accurate and optimized control of the combustion inside the furnace. A mathematical model for flow detection, based on fuzzy logics was developed to determine the actual flow in each flue. With the introduction of this flow detection module, each flue in a furnace is continuously evaluated. The on-line mathematical model calculates the actual flow in each flue by correlation of the relevant process data available in the firing system. As a result, the baking process is further optimized for lowest emissions and best fuel efficiency. The paper illustrates the mathematical approach and shows the results.
||Planned: Light Metals