Optimisation of Structural Design in Benchtop CNC Milling Machines for Enhanced Performance and Efficiency

This paper presents the design and optimisation of a cost-effective benchtop three-axis CNC milling machine aimed at improving performance and precision. Beginning with a conservative design, topology optimisation using Altair SolidThinking Inspire software was employed. Static and modal analyses revealed significant improvements in the optimised structure's integrity and dynamic performance, confirmed through Finite Element Analysis (FEA) and impact hammer tests. The machine features affordable components and standard PC interfaces, ensuring high performance while maintaining low costs. Accuracy tests, including circularity and straightness assessments, identified optimal spindle speeds and feed rates for precision machining. The optimised design showed reduced static displacement and enhanced vibration resistance, ensuring reliable operations. This CNC milling machine, suitable for educational and small-scale manufacturing environments, offers a compact, affordable and user-friendly tool for teaching CNC operations and programming. The study highlights the importance of structural optimisation in CNC machine design, demonstrating notable performance gains through advanced engineering.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Applied Mechanics
Published
2024-12-30
DOI
https://doi.org/10.37934/aram.129.1.5774
Primary Topic
Manufacturing Process 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 Structural Design in Benchtop CNC Milling Machines for Enhanced Performance and Efficiency

Mohd Shahir Kasim, Zammeri Abd Rahman, Saiful Bahri Mohamed, Razwan Rohimi et al.
Journal of Advanced Research in Applied Mechanics
Manufacturing Process and Optimization
article

Optimisation of Structural Design in Benchtop CNC Milling Machines for Enhanced Performance and Efficiency

Mohd Shahir Kasim, Zammeri Abd Rahman, Saiful Bahri Mohamed, Razwan Rohimi, Mohamad Minhat, Zulkifli Abd Rahman, Nur Hanis Hidayah Taufik, Wawan Trisnadi Putra
article en

Abstract

This paper presents the design and optimisation of a cost-effective benchtop three-axis CNC milling machine aimed at improving performance and precision. Beginning with a conservative design, topology optimisation using Altair SolidThinking Inspire software was employed. Static and modal analyses revealed significant improvements in the optimised structure's integrity and dynamic performance, confirmed through Finite Element Analysis (FEA) and impact hammer tests. The machine features affordable components and standard PC interfaces, ensuring high performance while maintaining low costs. Accuracy tests, including circularity and straightness assessments, identified optimal spindle speeds and feed rates for precision machining. The optimised design showed reduced static displacement and enhanced vibration resistance, ensuring reliable operations. This CNC milling machine, suitable for educational and small-scale manufacturing environments, offers a compact, affordable and user-friendly tool for teaching CNC operations and programming. The study highlights the importance of structural optimisation in CNC machine design, demonstrating notable performance gains through advanced engineering.

Journal of Advanced Research in Applied MechanicsVol. 129(1)
Universiti Sains Islam Malaysia (MY), TATI University College (MY), Technical University of Malaysia Malacca (MY), Muhammadiyah University of Ponorogo (ID), Sultan Zainal Abidin University (MY)
Universiti Teknikal Malaysia Melaka, Universiti Sains Islam Malaysia, Universiti Sultan Zainal Abidin
Openalex Percentile: Top 61%
Manufacturing Process 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.