Optimisation of CNC Turning Parameters using RSM for Inconel 718 in Dry Cutting Conditions, Focusing on Surface Roughness

Inconel 718 is widely utilised in machining applications due to its exceptional mechanical properties, particularly in high-temperature environments, making it a preferred material in industries such as aerospace and automotive. However, the machining of Inconel 718 material presents significant challenges, particularly in achieving an optimal surface finish under dry-cutting conditions using a CNC turning machine. This study addresses the critical issue of improper cutting parameters involving cutting speed (Vc) and feed rate (fz), which can adversely affect the surface quality of machined components. This research aims to determine the optimal cutting parameters that minimise surface roughness (Ra) on Inconel 718 in dry-cutting conditions. A systematic methodology was employed, wherein various Vc from 30 to 100 m/min, fz was adjusted between 0.03 to 0.07 mm/rev, and a constant depth of cut was set at 0.5 mm. The Response Surface Methodology (RSM) was utilised to analyse the effects of these parameters on Ra, allowing for the identification of optimal machining conditions. The results show that Vc 100 m/min and fz 0.0696 mm/rev significantly improve surface finish by producing the lowest Ra of 0.4416 µm, which is 51% better than Vc 65 m/min and fz 0.03 mm/rev. This study contributes to the body of knowledge on CNC turning machining of superalloys in dry-cutting conditions. It provides valuable insights for machine operators aiming to enhance machining efficiency and product quality in industrial applications.

Publication Details

Journal
Journal of Mechanical Engineering
Published
2025-09-15
DOI
https://doi.org/10.24191/jmeche.v22i3.5318
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimisation of CNC Turning Parameters using RSM for Inconel 718 in Dry Cutting Conditions, Focusing on Surface Roughness

Journal of Mechanical Engineering
Advanced machining processes and optimization
article

Optimisation of CNC Turning Parameters using RSM for Inconel 718 in Dry Cutting Conditions, Focusing on Surface Roughness

article en

Abstract

Inconel 718 is widely utilised in machining applications due to its exceptional mechanical properties, particularly in high-temperature environments, making it a preferred material in industries such as aerospace and automotive. However, the machining of Inconel 718 material presents significant challenges, particularly in achieving an optimal surface finish under dry-cutting conditions using a CNC turning machine. This study addresses the critical issue of improper cutting parameters involving cutting speed (Vc) and feed rate (fz), which can adversely affect the surface quality of machined components. This research aims to determine the optimal cutting parameters that minimise surface roughness (Ra) on Inconel 718 in dry-cutting conditions. A systematic methodology was employed, wherein various Vc from 30 to 100 m/min, fz was adjusted between 0.03 to 0.07 mm/rev, and a constant depth of cut was set at 0.5 mm. The Response Surface Methodology (RSM) was utilised to analyse the effects of these parameters on Ra, allowing for the identification of optimal machining conditions. The results show that Vc 100 m/min and fz 0.0696 mm/rev significantly improve surface finish by producing the lowest Ra of 0.4416 µm, which is 51% better than Vc 65 m/min and fz 0.03 mm/rev. This study contributes to the body of knowledge on CNC turning machining of superalloys in dry-cutting conditions. It provides valuable insights for machine operators aiming to enhance machining efficiency and product quality in industrial applications.

Journal of Mechanical EngineeringVol. 22(3)
Universiti Tun Hussein Onn Malaysia
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Advanced machining processes 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.

Optimisation of CNC Turning Parameters using RSM for Inconel 718 in Dry Cutting Conditions, Focusing on Surface Roughness · Journal of Mechanical Engineering (2025) | TGRS Research Map | TGRS