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Materials and Manufacturing Processes Volume 20, 2005 - Issue 3
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Original Articles

Control of Unsteady Solidification Via Optimized Magnetic Fields

Marcelo J. Colaco Military Institute of Engineering (IME), Mechanical and Materials Engineering Department (DE/4), Praca General Tiburcio, Rio de Janeiro, Brazil
,
George S. Dulikravich Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida, USACorrespondence[email protected]
&
Thomas J. Martin Pratt & Whitney Engine Company, Turbine Discipline Engineering and Optimization Group, East Hartford, CT, USA
Pages 435-458 | Received 06 Apr 2004, Accepted 08 Nov 2004, Published online: 07 Feb 2007

Citations (16)

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Read on this site (6)

S Datta & P P Chattopadhyay. (2013) Soft computing techniques in advancement of structural metals. International Materials Reviews 58:8, pages 475-504.
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Wojciech Paszkowicz. (2009) Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials and Manufacturing Processes 24:2, pages 174-197.
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K. Mitra. (2008) Genetic algorithms in polymeric material production, design, processing and other applications: a review. International Materials Reviews 53:5, pages 275-297.
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MarceloJ. Colaço & GeorgeS. Dulikravich. (2007) Solidification of Double-Diffusive Flows Using Thermo-Magneto-Hydrodynamics and Optimization. Materials and Manufacturing Processes 22:5, pages 594-606.
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N. Chakraborti. (2005) Genetic algorithms in these changing steel times. Ironmaking & Steelmaking 32:5, pages 401-404.
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A. Kumar, D. Sahoo, S. Chakraborty & N. Chakraborti. (2005) Gas Injection in Steelmaking Vessels: Coupling a Fluid Dynamic Analysis with a Genetic Algorithms-Based Pareto-Optimality. Materials and Manufacturing Processes 20:3, pages 363-379.
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Articles from other publishers (10)

Marcelo J. Colaço, Helcio R. B. Orlande, Wellington B. da Silva & George S. Dulikravich. (2012) Application of Two Bayesian Filters to Estimate Unknown Heat Fluxes in a Natural Convection Problem. Journal of Heat Transfer 134:9.
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Bin Xin, Jie Chen, Juan Zhang, Hao Fang & Zhi-Hong Peng. (2012) Hybridizing Differential Evolution and Particle Swarm Optimization to Design Powerful Optimizers: A Review and Taxonomy. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42:5, pages 744-767.
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Mihai Oltean & Laura Dioşan. (2009) An autonomous GP-based system for regression and classification problems. Applied Soft Computing 9:1, pages 49-60.
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Mihai Oltean & Laura Dioşan. 2008. Knowledge-Based Intelligent Information and Engineering Systems. Knowledge-Based Intelligent Information and Engineering Systems 376 383 .
Amit Kumar, Suman Chakraborty & Nirupam Chakraborti. (2007) Fluid Flow in a Tundish Optimized through Genetic Algorithms. steel research international 78:7, pages 517-521.
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H. Zhang, M. Charmchi, D. Veilleux & M. Faghri. (2007) Numerical and Experimental Investigation of Melting in the Presence of a Magnetic Field: Simulation of Low-Gravity Environment. Journal of Heat Transfer 129:4, pages 568-576.
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M.J. Colaço & G.S. Dulikravich. (2006) A multilevel hybrid optimization of magnetohydrodynamic problems in double-diffusive fluid flow. Journal of Physics and Chemistry of Solids 67:9-10, pages 1965-1972.
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Rakesh Angira & B.V. Babu. (2006) Optimization of process synthesis and design problems: A modified differential evolution approach. Chemical Engineering Science 61:14, pages 4707-4721.
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Bri-Mathias Hodge, Frank Pettersson & Nirupam Chakraborti. (2006) Re-evaluation of the Optimal Operating Conditions for the Primary End of an Integrated Steel Plant using Multi-objective Genetic Algorithms and Nash Equilibrium. steel research international 77:7, pages 459-461.
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S. Tiwari & N. Chakraborti. (2006) Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms. Journal of Materials Processing Technology 173:3, pages 384-393.
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