Por: altair lucio de souza (gerdau ouro branco), jacson morais borges (gerdau ouro branco), joao junio pereira lino (gerdau ouro branco), Luciano Morais Teixeira (gerdau ouro branco), Luiz Bruno de Oliveira Araujo (gerdau ouro branco), Luiz Gustavo Pedrosa de Melo (ufop), Jorge Adam Cleto Cohn (gerdau ouro branco), Willy Schuwarten Junior (gerdau ouro branco)
Resumo:
The off-line simulation of the metallurgical process in an industrial line brings several benefits such as: evaluation of the influence of the main parameters that affect the results of the process, comparison between different set ups, greater assertiveness in operational adjustments, process optimization and reduction in the number of tests to develop new products. With this objective, a software for offline simulation of the hot strip mill process of Gerdau Ouro Branco was developed based on the logic of calculations implemented in the online model. The software results in important process variables such as mill pass schedule, load, torque, and power at each pass, temperature and the hot mean flow stress of the simulated material. During rolling the strip presents different temperatures and time between passes for different points along the length, which directly influences the hot strength of the product and consequently in the calculated variables, thus the calculations executed by the software were divided to three points of the strip , head, body and tail bringing the individual results to each of these positions.
With the implementation and consolidation of this software for process simulation, a range of possibilities for process development is opened, allowing to add other functionalities and mathematical models to this tool that can help in the evaluation of alternatives to increase line productivity, and predictability of mechanical properties that will help in the development of new products and in the evaluation of microlalloying reduction contributing in the reduction of the cost of raw material, besides facilitating the dissemination of the technical knowledge of the process.
