Milling surface roughness prediction using evolutionary programming methods
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- @Article{Colak2007657,
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author = "Oguz Colak and Cahit Kurbanoglu and
M. Cengiz Kayacan",
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title = "Milling surface roughness prediction using
evolutionary programming methods",
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journal = "Materials \& Design",
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volume = "28",
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number = "2",
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pages = "657--666",
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year = "2007",
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ISSN = "0261-3069",
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DOI = "DOI:10.1016/j.matdes.2005.07.004",
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URL = "http://www.sciencedirect.com/science/article/B6TX5-4GYNXVH-3/2/9f33fbb56f37b01600d2773bc207696f",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Surface roughness, CNC end
milling, Genetic expression programming",
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abstract = "CNC milling has become one of the most competent,
productive and flexible manufacturing methods, for
complicated or sculptured surfaces. In order to design,
optimize, built up to sophisticated, multi-axis milling
centers, their expected manufacturing output is at
least beneficial. Therefore data, such as the surface
roughness, cutting parameters and dynamic cutting
behavior are very helpful, especially when they are
computationally produced, by artificial intelligent
techniques. Predicting of surface roughness is very
difficult using mathematical equations. In this study
gene expression programming method is used for
predicting surface roughness of milling surface with
related to cutting parameters. Cutting speed, feed and
depth of cut of end milling operations are collected
for predicting surface roughness. End of the study a
linear equation is predicted for surface roughness
related to experimental study.",
- }
Genetic Programming entries for
Oguz Colak
Cahit Kurbanoglu
Mehmet Cengiz Kayacan
Citations