| Summary: | 碩士 === 國立勤益科技大學 === 機械工程系 === 100 === High speed and high feed machine tools are bound to generate heat resulting in high temperature. Cutting fluid is traditionally used to suppress the heat, but the use of cutting fluid consequently causes pollution and other issues. To reach the goal of being more environmental friendly, this study is mainly based on the Taguchi method to investigate the optimal cutting parameters of the MQL (Minimum Quantities Lubrication) in high speed milling. Experimentally, the use of high-helix angle of tungsten steel milling aluminum knife milling of 6061 aluminum alloy to assess the MQL cutting performance of high-speed milling process, mainly flank wear, work piece surface roughness and cutting force of three selection parameters of the cutting performance spindle speed, feed per tooth, axial cut depth and cutting fluid supply. For multiple quality characteristics, the combination of Taguchi method with fuzzy logic to the MPCI (Multi-Performance Characteristics Index) obtained the cutting parameters best quality combination. The experiment confirmed that with the optimal level combination obtained from the fuzzy inference and Taguchi method parameters, using MQL can effectively improve the surface roughness and flank wear.
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