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On-line optimization of coiling temperature control on run-out table for hot strip mills

Conference Paper


Abstract


  • Based on optimization setup technology, an online adaptive calculation method for improving accuracy of strip coiling temperature control on the run-out table (ROT) has been developed and implemented in hot strip mill (HSM). Multi-objective control strategies, which include coiling temperature, middle target temperature and appropriate cooling rates have been finalised. Cooling strategies, elements tracking, and dynamic correction are employed in the control system. In addition, the model optimization and soft-measure method are also introduced in the study. Rolling tests with various grades of steel covering a wide range of thickness show that the developed model can improve the accuracy of coiling temperature control to obtain an uniform mechanical properties. Good correlation has been found between the predicted temperatures and the actual coiling ones.

Publication Date


  • 2007

Citation


  • Xie, H. B., Jiang, Z. Y., Liu, X. H., Wang, G. D., Zhou, T. G., & Tieu, A. K. (2007). On-line optimization of coiling temperature control on run-out table for hot strip mills. In Key Engineering Materials Vol. 340-341 I (pp. 701-706). doi:10.4028/0-87849-433-2.701

Scopus Eid


  • 2-s2.0-34147185700

Web Of Science Accession Number


Start Page


  • 701

End Page


  • 706

Volume


  • 340-341 I

Abstract


  • Based on optimization setup technology, an online adaptive calculation method for improving accuracy of strip coiling temperature control on the run-out table (ROT) has been developed and implemented in hot strip mill (HSM). Multi-objective control strategies, which include coiling temperature, middle target temperature and appropriate cooling rates have been finalised. Cooling strategies, elements tracking, and dynamic correction are employed in the control system. In addition, the model optimization and soft-measure method are also introduced in the study. Rolling tests with various grades of steel covering a wide range of thickness show that the developed model can improve the accuracy of coiling temperature control to obtain an uniform mechanical properties. Good correlation has been found between the predicted temperatures and the actual coiling ones.

Publication Date


  • 2007

Citation


  • Xie, H. B., Jiang, Z. Y., Liu, X. H., Wang, G. D., Zhou, T. G., & Tieu, A. K. (2007). On-line optimization of coiling temperature control on run-out table for hot strip mills. In Key Engineering Materials Vol. 340-341 I (pp. 701-706). doi:10.4028/0-87849-433-2.701

Scopus Eid


  • 2-s2.0-34147185700

Web Of Science Accession Number


Start Page


  • 701

End Page


  • 706

Volume


  • 340-341 I