Adequacy of Cold Rolling Models to Upgrade Set-up Generation Systems

Abstract

This paper presents two strategies for the upgrade of set-up generation systems for tandem cold mills. Even though these mills have been modernized mainly due to quality requests, their upgrades may be made intending to replace pre-calculated reference tables. In this case, Bryant and Osborn mill model without adaptive technique is proposed. As a more demanding modernization, Bland and Ford model including adaptation is recommended, although it requires a more complex computational hardware. Advantages and disadvantages of these two systems are compared and discussed and experimental results obtained from an industrial cold mill are shown.

A Mill Set-up Model Using a Multi-output Regression Tree for a Tandem Cold Mill Producing Stainless Steel

“…( 5)). 5) There are four unknowns (r i , i = 1 − 4) in these equations, and we can establish three additional equations using the table values in Eq. (1).…”

“…1) To prevent such defects in stainless steel cold-rolled plates, for which the surface quality of the material is important, the optimum reduction rate should be determined using a mill set-up model. Many studies [2][3][4][5][6][7] have examined the setting up of the reduction rate using optimization techniques. There are several classifications for optimization techniques: 1) nonlinear programming methods, 2) 2) GA algorithms, 3) or 3) Simplex optimization.…”

“…There are several classifications for optimization techniques: 1) nonlinear programming methods, 2) 2) GA algorithms, 3) or 3) Simplex optimization. [4][5][6] For the objective functions in optimization, previous studies have used uniform rolling load, motor power, shape, and flatness as the cost function.…”