Control of meniscus-level fluctuation by optimization of spray cooling in an industrial thin slab casting machine using a genetic algorithm

Materials and Manufacturing Processes

Volumn 19, Issue 3, 2004, Pages 549-562

  Ghosh, Sudipto ^a   Mitra, Kishalay ^b   Basu, Biswajit ^c   Jategaonkar, Yogesh A ^a  

^a TATA RESEARCH DEVELOPMENT AND DESIGN CENTRE   (India)

^b TATA CONSULTANCY SERVICES   (India)

^c ADITYA BIRLA GROUP   (India)

Author keywords

Bulging; Constraint handling; Genetic algorithms; Meniscus level fluctuation; Penalty function; Spray cooling; Thin slab casting

Indexed keywords

CONSTRAINT THEORY; COOLING; CRACK PROPAGATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; SPRAYING;

CONSTRAINT HANDLING; SPRAY COOLING; THIN SLABS;

CASTING;

EID: 3142755489     PISSN: 10426914     EISSN: None     Source Type: Journal    
DOI: 10.1081/AMP-120038660     Document Type: Article

References (13)

1. Percentage of crude steel continuously cast. International Iron and Steel Institute Iron and Steelmaker 1991, 18, 1.
2. Lee, J.D.; Yim, C.H. The mechanism of unsteady bulging and its analysis with the finite element method for continuously cast steel. ISIJ International 2000, 40, 765.
3. Goldberg, D.E. A gentle introduction to genetic algorithms. Genetic Algorithms in Search, Optimization and Machine Learning; Addition-Wesley: Reading, MA, 1989.
4. Deb, K. An efficient constraint handling method for genetic algorithms. Comp. Meth. Appl. Mech. Eng. 2000, 186, 311.
5. Mitra, K.; Deb, K.; Gupta, S.K. Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm. Jour. of Appl. Poly. Sc. 1998, 69, 69.
6. Momaya, P.; Mitra, K.; Sistu, P.; Gopinath, R. Advanced Process Control of Ore Beneficiation in Mineral Processing Plants, Proceedings of Intl. Symp. on Proc. Sys. Engg. and Cntrl., 03 IIT, Bombay, 2003, 126.
7. Chakraborti, N. Genetic algorithms in ferrous production metallurgy. Surveys on Mathematics for Industry 2002, 10, 269.
8. Deb, K. Evolutionary algorithms & applications of multi-objective evolutionary algorithms. Multiobjective Optimization Using Evolutionary Algorithms; Wiley: Chichester, U.K., 2001.
9. Chakraborti, N.; Mukherjee, A. Optimization of continuous casting mould parameters using genetic algorithms and other allied techniques. Ironmaking and Steelmaking 2000, 27 (3), 243.
10. Chakraborti, N.; Kumar, R.; Jain, D. A study of the continuous casting mold using a pareto converging genetic algorithm. Applied Mathematical Modeling 2001, 25, 287.
11. Mizikar, E.A. Mathematical heat transfer model for the analysis of unidirectional heat flow during solidification. Trans. TMS-AIME 1967, 239, 1747.
12. Wang, H.; Thomas, E.G. Unpublished Research, University of Illinois at Urbana-Champaign, Report, 1992.
13. Deb, K. Nontraditional Optimization Algorithms. Optimization for Engineering Design: Algorithms and Examples; Prentice-Hall of India: New Delhi, 1995.