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Title:Evolutionary approach for cutting forces prediction in milling
Authors:ID Kovačič, Miha (Author)
ID Balič, Jože (Author)
ID Brezočnik, Miran (Author)
Files:URL http://dx.doi.org/10.1016/j.jmatprotec.2004.04.318
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Knowing cutting forces is important for choosing cutting parameters for milling. Traditionally, cutting forces are calculated by equation which includes empirically measured specific cutting forces. In the article modelling of cutting forces with genetic programming is proposed, which imitates principles of living beings. Measurements have been made for two materials (aluminium alloy AlMgSi1 and steel 1.2343) and two different types of milling (conventional milling and STEP milling). For each material and type of milling parameters, tensile strength and hardness of workpiece, tool diameter, cutting depth, spindle speed, feeding and type of milling were monitored, and for each combination of milling parameters cutting forces were measured. On the basis of the experimental data, different models for cutting forces prediction were obtained by genetic programming. Research shows that genetically developed models fit the experimental data.
Keywords:milling, simulation, milling cutting forces prediction, genetic programming
Year of publishing:2004
PID:20.500.12556/DKUM-27516 New window
UDC:621.914:004.89
ISSN on article:0924-0136
COBISS.SI-ID:8811542 New window
NUK URN:URN:SI:UM:DK:A302ZY3U
Publication date in DKUM:01.06.2012
Views:1551
Downloads:81
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
KOVAČIČ, Miha, BALIČ, Jože and BREZOČNIK, Miran, 2004, Evolutionary approach for cutting forces prediction in milling. Journal of materials processing technology [online]. 2004. [Accessed 21 January 2025]. Retrieved from: http://dx.doi.org/10.1016/j.jmatprotec.2004.04.318
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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:rezkanje, frezanje, napovedovanje sil pri rezkanju, simulacije, genetsko programiranje


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