ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Today, the trend in die and mold manufacturing is to pursue high-quality surface topologyusing high-speed finish milling operation. This paper presents a new approach to optimize machiningconditions according to the required material removal rate (MRR), focusing on obtaining ahigh-quality surface. In this approach, the prediction model of surface roughness using the 2-stagedartificial neural network (ANN) is employed for the objective function. Furthermore, an additionalsurface quality criterion is also used for the optimization problem using the genetic algorithm. It hasbeen investigated that optimized machining conditions can be selected to obtain the high-qualitysurface within allowable reliability while maintaining a high-quality surface, under the given desiredMRR
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/52/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.329.711.pdf
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