Hardenability modeling

author = "Miha Kovacic",

title = "Hardenability modeling",

journal = "RMZ - Materials and Geoenvironment (Materiali in geookolje)",

year = "2010",

volume = "57",

number = "2",

pages = "173--180",

month = jun,

keywords = "genetic algorithms, genetic programming, Hardenability, Jominy test, spring steel, modeling, prekaljivost, Jominyjev preizkus, vzmetno jeklo, modeliranje, genetsko programiranje",

ISSN = "1408-7073",

URL = "

http://www.rmz-mg.com/letniki/rmz57/RMZ57_2.pdf",

size = "8 pages",

abstract = "The paper presents the use of genetic programming and linear regression method for hardenability modeling for 51CrV4 spring steel. The experimental data on chemical composition, distance from the specimen face and Jominy test results of 74 batches were collected. On the basis of the experimental data set, a mathematical model for the Jominy test was developed by genetic programming and linear regression. The models were also tested on the basis of experimental data on 871 batches. The results show that the genetically developed model performs better and the results can be easily used also in practice.",

notes = "p180 'The results show that both approaches' [GP and Linear Regression] 'give pretty the same idea about influencing parameters and also the genetically developed model performs better. The results can be easily practically used for chemical composition optimization.'",