Jurnal Vokasi Mekanika
Vol 8 No 2 (2026): Jurnal Vokasi Mekanika

Data-Driven Analysis of Machining Parameters Affecting Surface Roughness (Ra) in CNC Turning of Al6061 Using OLS Method

Dimas Ardiansyah Halim (Universitas Tidar)
Arbey, S (Universitas Tidar)
Rio Evandi (Universitas Tidar)
Tosa Susilo (Universitas Tidar)
Joko Suparno (Akademi Teknik Wacana Manunggal)



Article Info

Publish Date
31 May 2026

Abstract

This study aims to analyze the effect of machining parameters on surface roughness (Ra) in the CNC turning process of Aluminum 6061 using the Ordinary Least Squares (OLS) approach. The investigated parameters include cutting speed (v), feed rate (f), nose radius (r), and spindle speed (n). The experimental design was developed using a Central Composite Design (CCD) with five coded levels (+2, +1, 0, ?1, ?2). The machining process was carried out on a CNC GSK 980TDi lathe using CCMT inserts with nose radii of 0.2 mm, 0.4 mm, and 0.8 mm, while the surface roughness was measured using a Mahr Marsurf M300 tester with an accuracy of 0.076 µm. Experimental data were analyzed using the OLS method to determine the most dominant parameters affecting Ra. The results show a coefficient of determination (R²) of 0.932 and an adjusted R² of 0.868, indicating that the regression model provides an excellent level of fit. The nose radius (r) and spindle speed (n) were found to be the most significant factors influencing surface roughness, exhibiting opposite effects. This data-driven approach demonstrates the effectiveness of the OLS method in identifying critical machining parameters in CNC turning processes.

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Journal Info

Abbrev

vomek

Publisher

Subject

Education Mechanical Engineering

Description

Jurnal Vokasi Mekanika menyambut baik kiriman yang memberikan wawasan tentang isu-isu terkini dan utama yang berkaitan dengan pendidikan kejuruan dan teknologi serta ilmu Keteknikan dalam bidang Teknik Mesin. Jurnal ini menyediakan tempat bagi para peneliti dan praktisi untuk mendiskusikan, ...