Design of novel age-hardenable aluminium alloy using evolutionary computation

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@Article{Dey:2017:JAC,

• author = "Swati Dey and Partha Dey and Shubhabrata Datta",
• title = "Design of novel age-hardenable aluminium alloy using evolutionary computation",
• journal = "Journal of Alloys and Compounds",
• volume = "704",
• pages = "373--381",
• year = "2017",
• ISSN = "0925-8388",
• DOI = "doi:10.1016/j.jallcom.2017.02.027",
• URL = "http://www.sciencedirect.com/science/article/pii/S0925838817304425",
• abstract = "This work considers the experimental data of tensile properties as a function of composition and processing of the three series of age-hardenable aluminium alloys, i.e. 2XXX, 6XXX and 7XXX, for designing new age hardenable alloy. Computational approach of designing better alloys with desired properties is employed with a target of breaking the barrier of class or series of age hardenable Al alloys. The alloy designed with the help of two evolutionary computation tools, viz. genetic programming and multi-objective genetic algorithm, having better combination of properties, i.e. strength and ductility, is experimentally developed. The designed Al-Zn-Cu-Mg alloy with complex aging characteristics and encouraging tensile properties seem to have the potential for further study.",
• keywords = "genetic algorithms, genetic programming, Age hardenable aluminium alloys, Mechanical properties, Multi-objective optimization, Experimental trial",

}

Genetic Programming entries for Swati Dey Partha Pratim Dey Shubhabrata Datta

Citations