Title :
Fuzzy Inference System controls in hot dip galvanizing lines
Author :
Kuru, Ersen ; Kuru, Leyla
Author_Institution :
Uzunmustafa Mah, Uzunmustafa Cad, Duzce, Turkey
Abstract :
Today´s manufacturers need high-quality galvanized steel strip. High-quality galvanized steel strip is very important for automotive, building and consumer goods industries. Strip speed and process parameters are continuously changing in production galvanized steel strip. That in turn leads to coating thickness fluctuations, which translate into problems in quality and wastage of coating material. This paper presents a new galvannealing control system to optimize this metallurgical process. Fuzzy Inference System based on new control system enables production to be run safely at lower limit of permissible coating values with a significant improvement in the uniformity and quality of the coating layer. A discussion of simulation results show the improvements achieved by using FIS in comparison to the conventional controller.
Keywords :
annealing; automobile industry; fuzzy control; fuzzy reasoning; galvanising; hot dipping; strips; coating material quality; coating material wastage; coating thickness fluctuations; fuzzy inference system controls; galvannealing control system; high-quality galvanized steel strip; hot dip galvanizing lines; metallurgical process; process parameters; strip speed; Coatings; Control systems; Galvanizing; Input variables; Pressure measurement; Strips;
Conference_Titel :
Electrical and Electronics Engineering (ELECO), 2011 7th International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-1-4673-0160-2