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STUDY KASUS NILAI KEKASARAN PERMUKAAN MATERIAL BAJA S45C PADA PROSES PEMESINAN CNC BUBUT Riyo Mulyadi; Yudi Oktriadi; Muhammad Rivai
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 2 No. 01 (2022): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

In today highly sophisticated manufacturing industry, of course,the best product results are needed. Machining work, especially on CNC turning machining needs to be considered roughness level. The lower the roughness level,  the better the workmanship will be. For this reason it is necessary to pay attention to the parameters used so that the roughness of the product is getting lower. This study aims to determine the best parameters. The machining process is carried out on the MORI SEIKI SL-25B/500 CNC turning and S45C material. Parameters used consist of  feed motion, feed thickness, and spindle speed. The experimental design was based on the taguchimethod with an orthogonal L9(33) matrix and 2 times of replication as a comparison, there was no significant deviation. From the research, the contribution of feeding motion is 49,734%, feeding thickness is 19,239%, and spindle speed is 7,334%. The smallest roughness in the MORI SEIKI SL25B/500 CNC turning machining process was obtained from setting the feed motion 0.2 mm/rev, feeding thickness 1 mm, and spindle speed 2000 rev/minute.
Pengaruh Kecepatan Pemotongan, Feed Rate Dan Depth Of Cuth Terhadap Kekasaran Permukaan Pada Benda Kerja Material S45C Pada Proses CNC Milling Wahyu Aditiiya; Yudi Oktriadi; Zaldy Sirwansyah Suzen
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v4i2.410

Abstract

Surface quality is an important aspect in machining processes because it affects the performance and service life of components. S45C steel is widely used in the automotive and manufacturing industries, thus optimization of cutting parameters is required to obtain the best surface quality. Each machining parameter has a different level of influence on machining results. Therefore, this study was conducted to analyze the effects of cutting speed, feed rate, and depth of cut on surface roughness as well as to determine the optimum parameter combination in the CNC milling of S45C steel. The Response Surface Methodology (RSM) with a Box–Behnken design was used to develop the experimental plan consisting of 15 combinations. Surface roughness measurements were carried out using a Mitutoyo SJ-210. Analysis of variance (ANOVA) showed that depth of cut significantly affected surface roughness with a P-value < 0.05, while cutting speed and feed rate did not exhibit a statistically significant effect. The developed second-order regression model resulted in a saddle point characteristic, indicating that the optimum value was not located at either the lower or upper limit of the parameters. The optimization results indicate optimum conditions at a cutting speed of 82.85 m/min, feed rate of 298 mm/min, and depth of cut of 0.87 mm with a predicted surface roughness of 2.56 µm. These findings can serve as a reference for setting machining parameters to improve the surface quality of S45C steel.