Multi-Objective Optimization of the Hot Rolling Scheduling of Steel Using a Genetic Algorithm
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MRS Advances © 2019 Materials Research Society DOI: 10.1557/adv.2019.436
Multi-Objective Optimization of the Hot Rolling Scheduling of Steel Using a Genetic Algorithm Carlos A Hernández Carreón1 Juana E Mancilla Tolama1 Guadalupe Castilla Valdez2 and Iván Hernández González1 1
Instituto Politécnico Nacional. ESIME Azcapotzalco, Sección de Estudios de Posgrado e Investigación. Av. de las Granjas, 682. Col. Santa Catarina, Azcapotzalco, Ciudad de México 2
Instituto Tecnológico de Ciudad Madero. 1o. de Mayo y Sor Juana I. de la Cruz S/N. 89440. Cd. Madero, Tamaulipas, México
ABSTRACT
The hot rolling process reduces a slab passing through a series of work-rolls to obtain a strip of target thickness. Developing robust, efficient, and accurate simulation methods improve the process. This research aims to minimize the hot rolling time, bending of work rolls, thermal crown, and wear of work rolls, subject to some process constraints. The problem solution is by using a multi-objective genetic algorithm with four function objectives. The second generation of the Non-dominated Sorting Genetic Algorithm was chosen to solve the problem of this research. A probed constitutive model has been incorporated into the algorithm to compute the flow stress as a function of the chemical composition of steels. The algorithm implemented to minimize the four objectives proposed obtained the optimal schedule and associated makespan.
INTRODUCTION The production rate in a hot strip mill depends mainly on process parameters. The underlying problem is to develop the production-scheduling by performing the shop loading function, the sequencing function in the production department, and the production schedule that gives the times at which the reduction in a hot strip mill is programmed. A valid sequence provides less waiting time, decreased shipping delays, and enhanced due to date performance. In hot strip mills, there are high costs associated with waiting and delays. There are many other costs associated with the various orderings of jobs, for example stands set-up costs and maintenance costs.
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Deflection, thermal crown, and wear of works-rolls in a tandem mill are known to impair hot strip mill functioning and to influence strip quality. Previous studies on optimization of rolling schedules highlighted that flatness might control the strip quality [1]. It is unclear how hot rolling scheduling is affected by work roll deflection, work-roll thermal crown, and work-roll wear [2]. The goal is to program the deformation steps to minimize the makespan for hot rolling of any low alloy and microalloyed steel. Because multiple variables characterize the hot rolling process, there is not a single solution to the problem of determining the rolling schedule. Here, we specifically asked if the hot
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