Genetic equation for the cutting force in ball-end milling
Created by W.Langdon from
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- @Article{Milfelner:2005:JMPT,
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author = "M. Milfelner and J. Kopac and F. Cus and U. Zuperl",
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title = "Genetic equation for the cutting force in ball-end
milling",
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journal = "Journal of Materials Processing Technology",
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year = "2005",
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volume = "164-165",
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pages = "1554--1560",
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month = "15 " # may,
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note = "AMPT/AMME05 Part 2",
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keywords = "genetic algorithms, genetic programming, Cutting
forces, Cutting parameters, Ball-end mill",
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DOI = "doi:10.1016/j.jmatprotec.2005.02.147",
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abstract = "The paper presents the development of the genetic
equation for the cutting force for ball-end milling
process. The development of the equation combines
different methods and technologies like evolutionary
methods, manufacturing technology, measuring and
control technology and intelligent process technology
with the adequate hardware and software support.
Ball-end milling is a very common machining process in
modern manufacturing processes. The cutting forces play
the important role for the selection of the optimal
cutting parameters in ball-end milling. In many cases
the cutting forces in ball-end milling are calculated
by equation from the analytical cutting force model. In
the paper the genetic equation for the cutting forces
in ball-end milling is developed with the use of the
measured cutting forces and genetic programming. The
experiments were made with the system for the cutting
force monitoring in ball-end milling process. The
obtained results show that the developed genetic
equation fits very well with the experimental data.
The developed genetic equation can be used for the
cutting force estimation and optimisation of cutting
parameters. The integration of the proposed method will
lead to the reduction in production costs and
production time, flexibility in machining parameter
selection, and improvement of product quality.",
- }
Genetic Programming entries for
Matjaz Milfelner
Janez Kopac
Franci Cus
Uros Zuperl
Citations