Abstract
The miniaturization of machine component is perceived by many as requirement for the future technological development of a broad spectrum of products. Micro-component fabrication requires reliable and repeatable methods, with accurate analysis tools. Surface roughness is one of the most important parameter in machining process. This study presents the results of test done with high-speed face milling tool. Also this research discusses an experimental approach to the development of mathematical model for surface roughness prediction before milling process by using ant colony optimization algorithm. This mathematical model is validated by optimization of cutting parameters for minimum surface roughness.
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Acknowledgments
The authors acknowledge Indo-German Tool Room, Aurangabad, for providing facilities to conduct the experiment and continuous technical support for this research work.
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Technical Editor: Fernando Antonio Forcellini.
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Pansare, V.B., Sharma, S.B. Chip load-responsive optimization of micro-milling of engineering materials. J Braz. Soc. Mech. Sci. Eng. 38, 2063–2068 (2016). https://doi.org/10.1007/s40430-015-0399-0
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DOI: https://doi.org/10.1007/s40430-015-0399-0