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Title:Prediction of surface roughness with genetic programming
Authors:ID Brezočnik, Miran (Author)
ID Kovačič, Miha (Author)
ID Ficko, Mirko (Author)
Files:URL http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:In this paper we propose genetic programming to predict surface roughness in end-milling. Two independent data sets were obtained on the basis of measurement: training data set and testing data set. Spindle speed, feed rate,depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
Keywords:end milling, surface roughness, prediction of surface roughness, genetic programming
Year of publishing:2004
PID:20.500.12556/DKUM-27532 New window
UDC:621.914:004.89
ISSN on article:0924-0136
COBISS.SI-ID:9026582 New window
NUK URN:URN:SI:UM:DK:CX2LMQOO
Publication date in DKUM:01.06.2012
Views:2154
Downloads:134
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
BREZOČNIK, Miran, KOVAČIČ, Miha and FICKO, Mirko, 2004, Prediction of surface roughness with genetic programming. Journal of materials processing technology [online]. 2004. [Accessed 23 January 2025]. Retrieved from: http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004
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Record is a part of a journal

Title:Journal of materials processing technology
Shortened title:J. mater. process. technol.
Publisher:Elsevier
ISSN:0924-0136
COBISS.SI-ID:30105600 New window

Secondary language

Language:English
Keywords:čelno frezanje, površinska hrapavost, napoved hrapavosti, genetsko programiranje


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