Three axis deviation analysis of CNC milling machine

Dalmasius Ganjar Subagio, Ridwan Arief Subekti, Hendri Maja Saputra, Ahmad Rajani, Kadek Heri Sanjaya


The manufacturing technology has developed rapidly, especially those intended to improve the precision. Consequently, increasing precision requires greater technical capabilities in the field of measurement. A prototype of a 3-axis CNC milling machine has been designed and developed in the Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences (RCEPM-LIPI). The CNC milling machine is driven by a 0.4 kW servo motor with a spindle rotation of 12,000 rpm. This study aims to measure the precision of the CNC milling machine by carrying out the measurement process. It is expected that the CNC milling machine will be able toperform in an optimum precision during the manufacturing process. Accuracy level testing is done by measuring the deviations on the three axes namely X-axis, Y-axis, and Z-axis, as well as the flatness using a dial indicator and parallel plates. The measurement results show the deviation on the X-axis by 0.033 mm, the Y-axis by 0.102 mm, the Z-axis by 0.063 mm, and the flatness of the table by 0.096 mm, respectively. It is confirmed that the deviation value is within the tolerance standard limits set by ISO 2768 standard. However, the calibration is required for this CNC milling machine to achieve more accurate precision. Furthermore, the design improvement of CNC milling machine and the application of information technology in accordance with Industry 4.0 concept will enhance the precision and realibility.


precision measurement; orthogonal axes; manufacturing machine; automation industry.

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J. Qin, Y. Liu, and R. Grosvenor, "A categorical framework of manufacturing for industry 4.0 and beyond," in Procedia CIRP, vol. 52, pp. 173-178, 2016.

Z. Li, Y. Wang, and K. S. Wang, "Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario," Adv. Manuf., vol. 5, no. 4, pp. 377-387, 2017.

L. Li, C. Li, Y. Tang, and Q. Yi, "Influence factors and operational strategies for energy efficiency improvement of CNC machining," J. Clean. Prod., vol. 161, pp. 220-238, 2017.

B. Bagheri, S. Yang, H. A. Kao, and J. Lee, "Cyber-physical systems architecture for self-aware machines in industry 4.0 environment," in IFAC-PapersOnLine, 2015, vol. 28, no. 3, pp. 1622-1627.

T. K. Sung and B. Carlsson, "The evolution of a technological system: The case of CNC machine tools in Korea," J. Evol. Econ., vol. 13, no. 4, pp. 435-460, 2003.

A. Theorin et al., "An event-driven manufacturing information system architecture for Industry 4.0," Int. J. Prod. Res., vol. 55, no. 5, pp. 1297-1311, 2017.

I. M. of Industry, "Making Indonesia 4.0," 2019.

Zaynawi, B. Wiro. K, and F. Bisono, "Proses Kalibrasi Sumbu X, Y, Dan Z Pada Mesin CNC Router Kayu 3 Axis Menggunakan Alat Bantu Dial Indicator dan Block Gauge " in 1st Conference on Design and Manufacture and Its Aplication, pp. 350-356, 2018.

P. Saputra, A. Muqorobin, A. Santoso, and T. P. Purwanto, "Desain dan Implementasi Sistem Kendali CNC Router Menggunakan PC untuk Flame Cutting Machine," J. Mechatronics, Electr. Power, Veh. Technol., vol. 2, no. 1, p. 41, 2012.

M. Amala and S. A. Widyanto,. "Pengembangan Perangkat Lunak Sistem Operasi Mesin Milling Cnc Trainer," J. Tek. Mesin, vol. 2, no. 3, pp. 204-210, 2014.

E. Y. Elvys and Sirama, "Peningkatan Keakurasian Gerakan Pada Protoype Mesin CNC Milling 3-Axis," Proceeding Semin. Nas. Tah. Tek. Mesin XIV, (SNTTM XIV), pp. 7-8, 2015.

H. W. Chiu and C. H. Lee, "Prediction of machining accuracy and surface quality for CNC machine tools using data driven approach," Adv. Eng. Softw., vol. 114, pp. 246-257, 2017.

H. Yanuar, A. Syarief, and A. Kusairi, "Pengaruh Variasi Kecepatan Potong Dan Kedalaman Pemakanan Terhadap Kekasaran Permukaan Dengan Berbagai Media Pendingin Pada Proses Frais Konvensional," Tek. Mesin Unlam, vol. 03, no. 1, pp. 27-33, 2014.

Syahriza, T. Firsa, and M. Ibrahim, "Rancang Bangun Mesin CNC 4 Axis Berbasis PC (Personal Computer)," J. Tek. Mesin Unsyiah, vol. 3, no. 2, pp. 75-79, 2015.

Hendra, Sutarmadi, A. Indriani, and Hernadewita, "Jenis material pahat potong dan run out terhadap kekasaran permukaan benda kerja silinder pada proses bubut," J. Mek., vol. 4, no. 2, pp. 376-385, 2013.

A. Afkhamifar, D. Antonelli, and P. Chiabert, "Variational Analysis for CNC Milling Process," in Procedia CIRP, vol. 43, pp. 118-123, 2016.

A. Wozniak and M. Jankowski, “Variable speed compensation method of errors of probes for CNC machine tools,” Precis. Eng., vol. 49, pp. 316–321, 2017.

D. WU et al., "Machining fixture for adaptive CNC machining process of near-net-shaped jet engine blade," Chinese J. Aeronaut., 2019.

B. Yang, G. Zhang, Y. Ran, and H. Yu,"Kinematic modeling and machining precision analysis of multi-axis CNC machine tools based on screw theory," Mech. Mach. Theory, vol. 140, pp. 538-552, 2019.

E. García Plaza, P. J. Núñez López, and E. M. Beamud González, "Efficiency of vibration signal feature extraction for surface finish monitoring in CNC machining," J. Manuf. Process., vol. 44, pp. 145-157, 2019.

F. W. Putra, "Kalibrasi Sumbu Y Terhadap Ketelitian Benda Kerja Pada Mesin Cnc Router 3 Axis," 2016.

F. N. W.K, "Naskah Publikasi Analisa Sumbu Z Pada Proses Kalibrasi Dan Pergerakan Mesin CNC Router," Universitas Muhammadiyah Surakarta (UMS), 2016.

A. Fauzi, E. Wiyono, and S. Budiawanti, "Pengembangan Model Praktikum Fisika Berbasis Analisis Ketidakpastian Pengukuran," J. Mater. dan Pembelajaran Fis., vol. 3, no. 2, pp. 27-32, ISSN: 2089-6158, 2013.

S. Ekinovic, H. Prcanovic, and E. Begovic, "Calibration of machine tools by means of laser measuring systems,"” Asian Trans. Eng., vol. 02, no. 06, pp. 17-21, 2013.

A. Werner, "Improving the accuracy of free-form surface machining on CNC milling machines," Mechanik, vol. 91, no. 12, pp. 1100–1103, 2018.

C. Ahilan, S. Kumanan, N. Sivakumaran, and J. Edwin Raja Dhas, “Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools,” Appl. Soft Comput. J., vol. 13, no. 3, pp. 1543–1551, 2013.

G. L. Samuel and M. S. Shunmugam, “Evaluation of Straightness and Flatness Error Using Computational Geometric Techniques,” Comput. Des., vol. 31, pp. 829–843, 1999.

V. P. Astakhov, “Machining of hard materials - Definitions and industrial applications,” in Machining of Hard Materials, London: Springer, pp. 1–32, 2011.

J.-S. Chen, "Computer-aided accuracy enhancement," Int. J. Mach. Tools Manuf., vol. 35, no. 4, pp. 593-605, 1995.

L. Mironova and L. Kondratenko, "Mathematical modeling of the processing of holes on CNC machines," in Materials Today: Proceedings, vol. 19, pp. 2354-2357, 2019.

X. Yang, X. Zhou, and K. Cheng, "Research on Morphology and Semantics of Industrial Design for CNC Machine Tools," in Procedia Manufacturing, vol. 17, pp. 379-386, 2018.

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