| Summary: | 碩士 === 國立高雄應用科技大學 === 製造與管理外國學生碩士專班 === 102 === This study investigates the effect of the main machining parameters such as the cutting speed, the feed rate, and the depth of cut, the tool nose radius on the surface roughness in the CNC turning process of S45C Carbon steel. Full factors experiment design is used here that L27 orthogory array. The machine used here is CNC lathe Vturn-16, the cutting tool is cermet NX2525 (Mitsubishi product), the measurement surface machine is the surface test model No. SJ-400 (Mitutoyo makes). Through the conditions of the main machining parameters, a mathematical prediction model of the surface roughness has been developed. Response Surface Methodology (RSM) is used to estimate the impact of these parameters on the surface roughness. Besides, this research use MINITAB 16 software for computation work. The developed prediction equation shows that the surface roughness raise with the increase of the feed rate and decrease with the increase of the cutting tool nose radius. In contrast, the increase of cutting speed v and depth of cut a hardly influences on the roughness value of machined surface. For response surface optimization, the optimal combinations of machining parameters are the cutting speed, the feed rate, the depth of cut and the tool nose radius of 265 m/min, 0.1146 mm/rev, 0.3104 mm, 1.2 mm, respectively. Verification experiments fulfilled indicate that the empirical models developed can be used for turning of S45C carbon steel within 6% error.
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