Particularidades de la aplicación del diseño óptimo de experimentos a la Ecuación de Antoine
C. de la Calle Arroyo, M. González Fernández, J. López Fidalgo, L. J. Rodríguez-Aragón
La relación entre la presión de vapor de una sustancia y su temperatura es una propiedad importante, que es necesario conocer con precisión en diferentes aplicaciones industriales: procesos de destilación, manufactura de células fotovoltaicas, protocolos de uso y seguridad de aerosoles, etc. La Ecuación de Antoine es una clase de ecuaciones semi-empíricas que relaciona estas dos propiedades físicas. Para sus aplicaciones industriales, El diseño eficiente de experimentos para la Ecuación de Antoine es importante para conocer con precisión los parámetros del modelo.
La distribución de la respuesta a menudo se asume como normal homocedástica. No obstante, experiencias empíricas sugieren que es, en verdad, heterocedástica.
En este trabajo se utiliza una adaptación del algoritmo genético para calcular, tanto diseños multiobjetivo para las dos distribuciones, como diseños con un criterio compuesto entre ambos, y se presentan los diseños resultantes.
Keywords: D-optimalidad, algoritmo genético, distribución de probabilidad
Scheduled
GT07 Design of Experiments II
June 8, 2022 4:00 PM
Conference hall
Other papers in the same session
P. urruchi, J. López Fidalgo
J. M. Rodriguez Diaz
S. Pozuelo Campos, M. Amo Salas, V. M. Casero Alonso
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6/8/22
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