International Journal of Innovation in Mechanical Engineering and Advanced Materials
Vol 7, No 3 (2025)

Optimization of CNC Turning Parameters for Surface Roughness of Brass 36000 Using the Taguchi Method

Noviana, Agus (Unknown)
Fitri, Muhamad (Unknown)
Romahadi, Dedik (Unknown)



Article Info

Publish Date
18 Jan 2026

Abstract

Brass is widely used in industrial applications due to its excellent machinability and durability, making it well suited for CNC turning operations. Although numerous studies have investigated the optimization of turning parameters, variations in machine tools and cutting conditions often lead to differing conclusions. This study aims to optimize surface roughness in the CNC turning of Brass 36000 using the Taguchi method. An L9 orthogonal array was employed to evaluate the effects of spindle speed, feed rate, depth of cut, and coolant type. Experimental data were analyzed using signal-to-noise (S/N) ratio analysis and analysis of variance (ANOVA) to identify the most influential parameters and optimal cutting conditions. The results indicate that feed rate is the dominant factor affecting surface roughness, contributing 95.54% of the total variation, followed by spindle speed (1.88%), depth of cut (0.33%), and coolant type (0.18%). The optimal machining parameters were determined as a spindle speed of 1700 rpm, feed rate of 0.1 mm/rev, depth of cut of 1.0 mm, and the use of synthetic coolant (GT41), resulting in a minimum surface roughness of 0.67 µm. These findings demonstrate that precise control of feed rate is critical for achieving improved surface quality in CNC turning of brass.

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Journal Info

Abbrev

ijimeam

Publisher

Subject

Automotive Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

The journal publishes research manuscripts dealing with problems of modern technology (power and process engineering, structural and machine design, production engineering mechanism and materials, etc.). It considers activities such as design, construction, operation, environmental protection, etc. ...