Generation of models related to aluminium surface treatment using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Umberto Armani and Dirk Jan Boon and 
                 Vassili V. Toropov and Andrey Polynkin and Leslie J. Clark and 
                 Mary B. Stowe",
  title =        "Generation of models related to aluminium surface
                 treatment using genetic programming",
  booktitle =    "Proceedings of the 9th world congress on structural
                 and multidisciplinary optimization (WCSMO9),",
  year =         "2011",
  address =      "Shizuoka, Japan",
  month =        jun # " 13-17",
  keywords =     "genetic algorithms, genetic programming, hybrid
                 genetic programming, corrosion, model",
  broken =       "",
  URL =          "",
  size =         "9 pages",
  abstract =     "Surface treatment in aerospace industry is of
                 paramount importance for protection of metallic
                 structures against corrosion, in particular aluminium
                 alloys. One of the common techniques consists of the
                 generation of a surface coating (through chemical
                 conversion or anodising) followed by the application of
                 a primer paint containing a water soluble chromate
                 salt, such as barium chromate BaCrO4 or strontium
                 chromate SrCrO4.

                 Such treatment allows for corrosion protection of the
                 aluminium alloy in the presence of moisture even in the
                 case of damage to the protective coating, through
                 chemical and mass transfer processes involving the
                 primer, water, the exposed alloy and the chromate
                 salts. The availability of empirical models describing
                 the quantity of chromate dissolving into the aqueous
                 medium is therefore important for understanding the
                 corrosion protection process and it could lead to
                 improvements in the development and qualification of
                 new corrosion protection systems.

                 The main aim of this paper is to provide improved
                 models to describe the quantity of dissolved chromate
                 in water for three different chromate-based primers,
                 considering as independent variables the time treated
                 aluminium alloy samples are left in an aqueous solution
                 and the acidity of the solution. To produce the models
                 a hybrid genetic programming technique is used. Its
                 role is to generate models through symbolic regression
                 on experimental data provided by industry. Being a
                 non-parametric regression technique, genetic
                 programming is successful in finding a range of models
                 whose mathematical structure is different from existing

Genetic Programming entries for Umberto Armani Dirk Jan Boon Vassili V Toropov Andrey Polynkin Leslie J Clark Mary B Stowe