- author = "Miran Brezocnik and Miha Kovacic and Matej Psenicnik",
- title = "Prediction of steel machinability by genetic programming",
- journal = "Journal of achievements in materials and manufacturing engineering",
- year = "2006",
- volume = "16",
- number = "1-2",
- pages = "107--113",
- month = may # "-" # jun,
- note = "Special Issue of CAM3S'2005",
- keywords = "genetic algorithms, genetic programming, Steel machinability, Extra machinability, Modelling",
- issn_ = "Y505-3994 invalid checksum",
-
URL = "
http://jamme.acmsse.h2.pl/index.php?id=69",
-
URL = "
http://157.158.19.167/papers_cams05/1123.pdf",
- size = "7 pages",
- abstract = "The steels with extra machinability are made according to a special technological process. Such steels can be machined at high cutting speeds. In addition, the resistance of the tools used for machining, is higher than in the case of ordinary steels. It depends on several parameters, particularly on the steel chemical composition, whether the steel will meet the criterion of extra machinability. Special tests for each batch separately show whether the steel has extra machinability or not. In our research, the prediction of machinability of steels, depending on input parameters, was performed by genetic programming and data on the batches of steel already made. The model developed during the simulated evolution was tested also with the testing data set. The results show that the proposed concept can be successfully used in practice.",
-
notes = "http://www.journalamme.org/
Formerly Proceedings of Achievements in Mechanical and Materials Engineering. (1.123) Intelligent Manufacturing Systems Laboratory, University of Maribor, Faculty of Mechanical Engineering, Smetanova ulica 17, SI-2000 Maribor, Slovenia",
