ABSTRACT
Milling is one of the most important and most complex cutting machining processes. During the milling process, the cross-section of the chip is variable. Also, all milling operations are interrupted processes. The cutting edge of the mill tooth periodically enters and exits from the contact with the workpiece, which leads to periodic heating and cooling during the machining. This periodic change of temperature significantly affects the process of tool wear and therefore the quality of the machined surface. This paper aims at modeling and optimizing the parameters of the machining process to achieve the minimum temperature. In order to perform optimization, it was necessary to perform temperature measurements for the various parameters of the machining process. An infrared camera was used for the temperature measurement. Then, based on the measured values, the mathematical modeling of the temperature was performed depending on the cutting speed, the feed rate and the depth of cut. This model is then optimized using two different optimization techniques. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR35034: The research of modern non-conventional technologies application in manufacturing companies with the aim of increase efficiency of use, product quality, reduce of costs and save energy and materials, and Grant no. TR35015: Application of artificial intelligence methods in research and development of manufacturing processes]
KEYWORDS
PAPER SUBMITTED: 2019-03-28
PAPER REVISED: 2019-04-20
PAPER ACCEPTED: 2019-05-24
PUBLISHED ONLINE: 2019-05-27
THERMAL SCIENCE YEAR
2019, VOLUME
23, ISSUE
Issue 6, PAGES [3651 - 3660]
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