EDMANS
Engineering Data Mining and Numerical Simulations
Publications (10)
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Materials Chemistry
2017
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Practical methodology for validating constitutive models for the simulation of rubber compounds in extrusion processes
International Journal of Advanced Manufacturing Technology, Vol. 90, Núm. 5-8, pp. 2377-2387
2014
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Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace
Ironmaking and Steelmaking, Vol. 41, Núm. 2, pp. 87-98
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Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings
Ironmaking and Steelmaking, Vol. 41, Núm. 1, pp. 51-60
2013
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On-line soft sensor for predicting rubber properties in a mixture process based on regression models with feature selection
Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013
2011
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Optimising annealing process on hot dip galvanising line based on robust predictive models adjusted with genetic algorithms
Ironmaking and Steelmaking, Vol. 38, Núm. 3, pp. 218-228
2010
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Fine tuning straightening process using genetic algorithms and finite element methods
Ironmaking and Steelmaking, Vol. 37, Núm. 2, pp. 119-125
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Optimum model for predicting temperature settings on hot dip galvanising line
Ironmaking and Steelmaking, Vol. 37, Núm. 3, pp. 187-194
2007
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A neural network based approach to optimize rubber extrusion lines
International Journal of Computer Integrated Manufacturing, Vol. 20, Núm. 8, pp. 828-837
2006
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Improvement and Optimisation of Hot Dip Galvanising Line Using Neural Networks and Genetic Algorithms
Ironmaking and Steelmaking, Vol. 33, Núm. 4, pp. 344-352
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Knowledge discovery in rubber extrusion processes
WSEAS Transactions on Information Science and Applications, Vol. 3, Núm. 5, pp. 915-920