Optimization of Cutting Parameters during CNC Turning of a Steel

The surface roughness obtained by optimizing the cutting parameters when turning on a CNC machine tool is used to control the quality of machining processes. The objective is to simulate a CNC program designed for this process. The machining parameters, including cutting speed (Vc), feed rate (f), and depth of cut (ap), are carefully calibrated to achieve a minimum surface roughness (Ra). Analysis of variance (ANOVA) was used to determine the dependence of surface roughness. This analysis allows the effect of each parameter on surface roughness to be estimated. The results of this analysis are then used to construct a mathematical model that establishes a correlation between cutting parameters and surface roughness.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-09
DOI
https://doi.org/10.5281/zenodo.14613865
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Cutting Parameters during CNC Turning of a Steel

Zenodo (CERN European Organization for Nuclear Research)
Advanced machining processes and optimization
article

Optimization of Cutting Parameters during CNC Turning of a Steel

article en

Abstract

The surface roughness obtained by optimizing the cutting parameters when turning on a CNC machine tool is used to control the quality of machining processes. The objective is to simulate a CNC program designed for this process. The machining parameters, including cutting speed (Vc), feed rate (f), and depth of cut (ap), are carefully calibrated to achieve a minimum surface roughness (Ra). Analysis of variance (ANOVA) was used to determine the dependence of surface roughness. This analysis allows the effect of each parameter on surface roughness to be estimated. The results of this analysis are then used to construct a mathematical model that establishes a correlation between cutting parameters and surface roughness.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
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.

Optimization of Cutting Parameters during CNC Turning of a Steel · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS