An evolutionary approach for modeling and optimization of gelcasting of ceramics

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@Article{THOPPIL:2017:MTP,

• author = "Nikhil M. Thoppil and Kishore Kumar Kandi and N. Selvaraj and C. S. P. Rao",
• title = "An evolutionary approach for modeling and optimization of gelcasting of ceramics",
• journal = "Materials Today: Proceedings",
• volume = "4",
• number = "8",
• pages = "8296--8306",
• year = "2017",
• note = "International Conference on Advancements in Aeromechanical Materials for Manufacturing (ICAAMM-2016): Organized by MLR Institute of Technology, Hyderabad, Telangana, India",
• keywords = "genetic algorithms, genetic programming, Gelcasting, colloidal processing, Ceramics, MGGP, NSGA-II, Evolutionary algorithm, Modelling, Multiobjective optimization, Pareto optimal solution",
• ISSN = "2214-7853",
• DOI = "doi:10.1016/j.matpr.2017.07.172",
• URL = "http://www.sciencedirect.com/science/article/pii/S2214785317314694",
• abstract = "An integrated evolutionary based approach is presented for the modeling and optimization of gelcasting of ceramics. Gelcasting is a well-established colloidal processing method with a short forming time, high yields, high green capacity and low-cost machining, and has been used to prepare high-quality and complex-shaped dense/porous ceramic parts. The gelcasting constituents are reactive chemicals, which directly influences the characteristic properties of the product. Fused Silica (SiO2) ceramics has been prepared at different mix-proportions of solid loading, monomer content and monomer to cross linker ratio. Accurate prediction models to estimate flexural strength, and porosity were evolved from the experimental data using a new potential evolutionary algorithm called multigene genetic programming (MGGP). Subsequently, the developed model has been used for optimization of the mix-proportion of gelcasting constituents. The problem was formulated as a multiobjective optimization problem and a popular evolutionary algorithm, non-dominated sorting genetic algorithm-II (NSGA-II), was used and thereby retrieves the Pareto-optimal solutions set",
• keywords = "genetic algorithms, genetic programming, Gelcasting, colloidal processing, Ceramics, MGGP, NSGA-II, Evolutionary algorithm, Modelling, Multiobjective optimization, Pareto optimal solution",

}

Genetic Programming entries for Nikhil M Thoppil Kishore Kumar Kandi N Selvaraj C S P Rao

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