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Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach
Diseño de una planta de molienda para la industria de cerámica mediante un enfoque de optimización basado en simulaciones
DOI:
https://doi.org/10.15446/ing.investig.v41n3.87761Keywords:
Comminution, equipment selection, genetic algorithm, simulation (en)molienda, selección de equipos, algoritmo genético, simulación (es)
In many cases, the design process of a structural ceramic comminution plant typically consists of an ‘expert designer’ who makes decisions using intuitive criteria to select commercial equipment. This paper proposes a simulationbased optimization approach to help decisionmaking. The complexity of the problem lies in selecting the model and amount of equipment for each stage at the lowest cost while simultaneously satisfying a previously fixed production and granulometry. The proposed approach is based on a genetic algorithm to generate solutions and facilitate the optimization process, together with discrete simulation to evaluate the performance of the comminution process according to its service level. To evaluate the algorithm, different problems, whose parameters are based on the requirements of the ceramic industry, are solved and analyzed.
En muchos casos, el proceso de diseño de una planta estructural de molienda para la industria de la cerámica consiste en un “diseñador experto” que utiliza criterios intuitivos para seleccionar equipos comerciales. Este artículo propone un enfoque de optimización basado en simulación para ayudar en la toma de decisiones. La complejidad del problema radica en seleccionar el modelo y número de equipos en cada etapa por el costo más bajo y, simultáneamente, satisfacer producción y granulometría fijadas previamente. El enfoque propuesto se basa en un algoritmo genético para generar soluciones y facilitar el proceso de optimización, junto con un modelo de simulación para evaluar el rendimiento del proceso de molienda de acuerdo con su nivel de servicio. Para evaluar el algoritmo, se resuelve y analizan diferentes problemas cuyos parámetros se basan en los requerimientos de la industria cerámica.
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