Evaluating the development and cutting capacity of a one-square computer numeric controlled milling machine

Traditional subtractive technology is rapidly losing significance with the advent of digital manufacturing technologies, which offer affordable machining with high accuracy and repeatability. Computer numeric controlled (CNC) machining has been around for a while; however, it has been costly to own one. Since the concept of CNC machining is now broadly understood and open-source software is available for control, designers can make use of available local materials to develop cheaper CNC machines. Hence, this presents the evaluation of the design and development of a one-square-meter CNC milling machine. The control was implemented on Arduino Uno, while open-source Universal G-code Sender (UGS) and G-code reference block library (GRBL) were used for the G-code generation and machine control, respectively. The built CNC was calibrated and tested on wood and plastic materials, and the resulting products were acceptable in accuracy up to ±0.02 mm in the first trial, but attained perfect accuracy by the third trial. Multiple tests repeatedly showed that accuracy was maintained. Since the machine is reconfigurable, future work entails automation and incorporating laser cutting capabilities into the machine.

Authors

Institutions

Publication Details

Journal
IAES International Journal of Robotics and Automation (IJRA)
Published
2025-09-01
DOI
https://doi.org/10.11591/ijra.v14i3.pp451-462
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Evaluating the development and cutting capacity of a one-square computer numeric controlled milling machine

Babafemi Malomo, Oluwaseun Ajayi, Shengzhi Du, GEORGE N. THOMPSON et al.
IAES International Journal of Robotics and Automation (IJRA)
Engineering Technology and Methodologies
article

Evaluating the development and cutting capacity of a one-square computer numeric controlled milling machine

Babafemi Malomo, Oluwaseun Ajayi, Shengzhi Du, GEORGE N. THOMPSON, Ayodele Temitope Oyeniran, Kolawole Oluwaseun Alao, Quadri Ayomide Omotosho, Marvellous Oluwadamilare Fawole, Ayomide Isaiah Lasaki
article en

Abstract

Traditional subtractive technology is rapidly losing significance with the advent of digital manufacturing technologies, which offer affordable machining with high accuracy and repeatability. Computer numeric controlled (CNC) machining has been around for a while; however, it has been costly to own one. Since the concept of CNC machining is now broadly understood and open-source software is available for control, designers can make use of available local materials to develop cheaper CNC machines. Hence, this presents the evaluation of the design and development of a one-square-meter CNC milling machine. The control was implemented on Arduino Uno, while open-source Universal G-code Sender (UGS) and G-code reference block library (GRBL) were used for the G-code generation and machine control, respectively. The built CNC was calibrated and tested on wood and plastic materials, and the resulting products were acceptable in accuracy up to ±0.02 mm in the first trial, but attained perfect accuracy by the third trial. Multiple tests repeatedly showed that accuracy was maintained. Since the machine is reconfigurable, future work entails automation and incorporating laser cutting capabilities into the machine.

IAES International Journal of Robotics and Automation (IJRA)Vol. 14(3)
Ekiti State University (NG), Tshwane University of Technology (ZA), Adekunle Ajasin University (NG), Obafemi Awolowo University (NG)
Tertiary Education Trust Fund
Openalex Percentile: Top 67%
Engineering Technology and Methodologies
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.

Evaluating the development and cutting capacity of a one-square computer numeric controlled milling machine — Babafemi Malomo, Oluwaseun Ajayi, et al. · IAES International Journal of Robotics and Automation (IJRA) (2025) | TGRS Research Map | TGRS