Application of Optimization Algorithm for Ceramic Formulations

Abstract:

ceramic formula; genetic algorithm; the simplex method; particle swarm optimization Abstract. The composition of ceramic materials determines its performance, so ceramic formula determines the performance of the product. The factors, such as supply of local raw materials, chemical composition, and raw material price, determine the formula. Selecting raw materials from a variety of raw materials which are consistent with the target formula and the percentage content of the chemical composition is a very important job. The chemical composition in the ceramic material is various, and the traditional method is to calculate the formula by hand. The workload is very heavy, and the results are often not accurate, and don’t meet actual requirements. By minimizing the deviation of chemical composition and mineral ingredients, the chemical and comprehensive formula optimization models of ceramic preform body were constructed. Several typical optimization algorithms were used to construct the formula model, such as particle swarm optimization, genetic algorithms and Nelder-Mead simplex method. The experimental results were presented and compared and it concluded that the particle swarm optimization algorithm is superior to the other optimization algorithms.

• Periodical: Advanced Materials Research (Volumes 518-523)
• Pages: 3938-3942
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.518-523.3938
• Online since: May 2012
• Authors: Xiang Cheng, Su Li Wang, Shu Wu Cheng
• Keywords: Ceramic Formula, Genetic Algorithm (GA), Particle Swarm Optimization Algorithm (PSO), Simplex Method

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