Title

INCREASING COLD-ROLLING MILL (CRM) OUTPUT BY IMPROVING FLOW THROUGH BATCH ANNEALING (BAF)

INCREASING COLD-ROLLING MILL (CRM) OUTPUT BY IMPROVING FLOW THROUGH BATCH ANNEALING (BAF)

Authorship

Michael McDonald; Daniel Messina; Ward Eaton

Michael McDonald

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Daniel Messina

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Ward Eaton

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DOI

10.5151/1983-4764-25691

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Abstract

The cold-rolled steel output of cold-rolling mill (CRM) complexes are sometimes constrained by their batch annealing facilities (BAF). This paper examines a cost-effective solution to increasing capacity and quality of the BAF thereby making additional capacity available for CRM output. The solution involves applying a structured system of scheduling and operation to the BAF, using a proven level-2 software model. The system presented has been applied to a wide variety of BAF with all the leading furnace brands. Whether using traditional HN atmosphere or 100% hydrogen, peak performance can be achieved when using a properly configured, on-line, physical thermodynamic model. Given that it is not practical to place a thermocouple in each coil that is being annealed, various methods have historically been used to estimate the time required to properly anneal all the coils in the charge. This paper examines how the latest technology, in wide use throughout the USA, uses a physical thermodynamic model to shorten average cycle times, thereby increasing productivity and reducing energy consumption. The paper also examines the benefit of building thermodynamically balanced charges to further optimize the BAF operation and improve quality consistency by decreasing mechanical property variations.

The cold-rolled steel output of cold-rolling mill (CRM) complexes are sometimes constrained by their batch annealing facilities (BAF). This paper examines a cost-effective solution to increasing capacity and quality of the BAF thereby making additional capacity available for CRM output. The solution involves applying a structured system of scheduling and operation to the BAF, using a proven level-2 software model. The system presented has been applied to a wide variety of BAF with all the leading furnace brands. Whether using traditional HN atmosphere or 100% hydrogen, peak performance can be achieved when using a properly configured, on-line, physical thermodynamic model. Given that it is not practical to place a thermocouple in each coil that is being annealed, various methods have historically been used to estimate the time required to properly anneal all the coils in the charge. This paper examines how the latest technology, in wide use throughout the USA, uses a physical thermodynamic model to shorten average cycle times, thereby increasing productivity and reducing energy consumption. The paper also examines the benefit of building thermodynamically balanced charges to further optimize the BAF operation and improve quality consistency by decreasing mechanical property variations.

Keywords

BAF; Batch annealing; Bell furnaces; Bell-type; Hydrogen; HN; HNx; Level-2; Computer model; Scheduling; Stacking; Constraint; Energy savings; Green

BAF; Batch annealing; Bell furnaces; Bell-type; Hydrogen; HN; HNx; Level-2; Computer model; Scheduling; Stacking; Constraint; Energy savings; Green