Optimalisasi Parameter Pada Mesin CNC Milling Terhadap MRR Menggunakan Material S50C Dengan Metode Taguchi

This study aims to analyze the effect of process parameters on the Material Removal Rate (MRR) in CNC milling machining of S50C steel material. The process parameters examined include spindle speed (RPM), cutting speed (Vc), and depth of cut. The experimental design uses the Taguchi method with an L9 (3³) Orthogonal Array matrix, including three repetitions to ensure data reliability. The analysis results show that the depth of cut has the most significant impact on increasing MRR, contributing 86.14%. The optimal MRR value is achieved with the process parameter combination of spindle speed at 3,184 rpm, cutting speed at 105 m/min, and depth of cut at 0.6 mm. Selecting the appropriate process parameters can enhance the efficiency of material removal in CNC milling machining. This research provides guidance for practitioners to determine optimal parameters to achieve maximum results in material processing.

Authors

Institutions

Publication Details

Journal
Jurnal Inovasi Teknologi Terapan
Published
2025-08-29
DOI
https://doi.org/10.33504/jitt.v3i2.313
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimalisasi Parameter Pada Mesin CNC Milling Terhadap MRR Menggunakan Material S50C Dengan Metode Taguchi

Sukanto Sukanto, Eko Yudo, Afgi Finofal
Jurnal Inovasi Teknologi Terapan
Manufacturing Process and Optimization
article

Optimalisasi Parameter Pada Mesin CNC Milling Terhadap MRR Menggunakan Material S50C Dengan Metode Taguchi

Sukanto Sukanto, Eko Yudo, Afgi Finofal
article en

Abstract

This study aims to analyze the effect of process parameters on the Material Removal Rate (MRR) in CNC milling machining of S50C steel material. The process parameters examined include spindle speed (RPM), cutting speed (Vc), and depth of cut. The experimental design uses the Taguchi method with an L9 (3³) Orthogonal Array matrix, including three repetitions to ensure data reliability. The analysis results show that the depth of cut has the most significant impact on increasing MRR, contributing 86.14%. The optimal MRR value is achieved with the process parameter combination of spindle speed at 3,184 rpm, cutting speed at 105 m/min, and depth of cut at 0.6 mm. Selecting the appropriate process parameters can enhance the efficiency of material removal in CNC milling machining. This research provides guidance for practitioners to determine optimal parameters to achieve maximum results in material processing.

Jurnal Inovasi Teknologi TerapanVol. 3(2)
University of Bangka Belitung (ID)
Openalex Percentile: Top 66%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimalisasi Parameter Pada Mesin CNC Milling Terhadap MRR Menggunakan Material S50C Dengan Metode Taguchi — Sukanto Sukanto, Eko Yudo, et al. · Jurnal Inovasi Teknologi Terapan (2025) | TGRS Research Map | TGRS