Pengujian Tingkat Akurasi dan Error Dimensi Hasil Produk Mesin CNC Lathe Mini Custom


  • Eddy Kurniawan Jurusan Teknik Mesin Fakultas Teknik Universitas Tanjungpura
  • Syaifurrahman Syaifurrahman Jurusan Teknik Elektro Fakultas Teknik Universitas Tanjungpura
  • Bong Jekky Jurusan Teknik Mesin Fakultas Teknik Universitas Tanjungpura



CNC Lathe Machine, Accuracy Percentage, Error Percentage.


Computer technology development has an impact on manufacturing technology development. CNC Lathe machine is a combination of computer technology and mechanical technology. This technology produces precision manufacturing products and fast processing times. Computer Numerical Control (CNC) is a machine controlled using a computer program to simplify the machine work process and make product results more uniform and acurates. A researcher makes this CNC Lathe machine from the Department of Mechanical Engineering Tanjungpura University Pontianak. It is named Small CNC Lathe machine with specifications, two axes (X and Z), and it has small dimensions to make it easier to move. This Small CNC Lathe Machine uses a spindle motor of 1 HP, 1500 rpm and a torque of 3.5 Nm, to move the X and Z axes using two stepper motors with a torque of 0.76 Nm for the X-axis and 1.2 Nm for the Z-axis. It has a motion limit of 215 mm for the X-axis and 75 mm for the Z-axis. This research was conducted to obtain the accuracy and error of the dimensional product made in this machine. The results of 16 workpieces with four different types of programs ware the average error percentage rate of 1.840%, so that it has an accuracy level of 98.160% for the X-axis and the average error percentage rate of 0,396% so that it has an accuracy level of 99.604% for Z-axis.


S. T. NEWMAN et al., “Strategic advantages of interoperability for global manufacturing using CNC technology,†Robot. Comput.-Integr. Manuf., vol. 24, no. 6, pp. 699–708, Dec. 2008, doi: 10.1016/j.rcim.2008.03.002.

R. E. BREAZ, O. BOLOGA, S. G. RACZ, and M. CRENGANIŞ, “Selecting between CNC turning centers using a combined AHP and fuzzy approach,†Procedia Comput. Sci., vol. 162, pp. 290–297, 2019, doi: 10.1016/j.procs.2019.11.287.

D. DIMITROV and T. SZECSI, “Machining Accuracy on CNC Lathes under the Lack of Unity of the Process and Design Data,†Procedia CIRP, vol. 41, pp. 824–828, 2016, doi: 10.1016/j.procir.2015.10.001.

G. B. SILVA, F. J. G. SILVA, R. D. S. G. CAMPILHO, and R. M. GOUVEIA, “Designing a Novel Feeding System for CNC Turning Machines,†Procedia Manuf., vol. 17, pp. 1144–1153, 2018, doi: 10.1016/j.promfg.2018.10.020.

S. IRFAN and R. RUSIYANTO, “Perancangan CNC Plasma Cutting Menggunakan Software Autodesk Inventor 2015,†J. Rekayasa Mesin, vol. 12, no. 1, pp. 1–10, May 2021, doi: 10.21776/ub.jrm.2021.012.01.1.

A. WINARNO, S. LASIYAH, B. TULUNG PRAYOGA, I. ARIS HENDARYANTO, and F. X. SUKIDJO, “Development of Accuracy Evaluation Method for Open Loop Educational CNC Milling Machine,†J. Rekayasa Mesin, vol. 12, no. 1, pp. 217–225, May 2021, doi: 10.21776/ub.jrm.2021.012.01.23.

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, doi: 10.1016/j.mechmachtheory.2019.06.021.

M. ABD-ALRAZZAQ, M. H. AHMED, and M. A. YOUNES, “A computer numerical control (CNC) multi-pass spinning solution to a center lathe retrofit,†SN Appl. Sci., vol. 1, no. 1, pp. 1–15, Jan. 2019, doi: 10.1007/s42452-018-0007-x.

J. HERWAN, S. KANO, O. RYABOV, H. SAWADA, N. KASASHIMA, and T. MISAKA, “Retrofitting old CNC turning with an accelerometer at a remote location towards Industry 4.0,†Manuf. Lett., vol. 21, pp. 56–59, Aug. 2019, doi: 10.1016/j.mfglet.2019.08.001.

N. SATHYAKUMAR, K. PRASATH BALAJI, R. GANAPATHI, and S. R. PANDIAN, “A Build-Your-Own Three Axis CNC PCB Milling Machine,†Mater. Today Proc., vol. 5, no. 11, pp. 24404–24413, 2018, doi: 10.1016/j.matpr.2018.10.236.

E. KURNIAWAN, SYAIFURRAHMAN, and B. JEKKY, “Rancang Bangun Mesin CNC Lathe Mini 2 Axis,†J. Engine Energi Manufaktur Dan Mater., vol. 4, no. 2, pp. 83–90, 2020, doi:

W. LAPSOMTHOP, N. WONGSIRIRAX, A. KITITEERAKOL, and W. SAWANGSRI, “Design and experimental investigation on 3- component force sensor in mini CNC milling machine,†Mater. Today Proc., vol. 17, pp. 1931–1938, 2019, doi: 10.1016/j.matpr.2019.06.232.

L. PAN, X. GUO, Y. LUAN, and H. WANG, “Design and realization of cutting simulation function of digital twin system of CNC machine tool,†Procedia Comput. Sci., vol. 183, pp. 261–266, 2021, doi: 10.1016/j.procs.2021.02.057.

P. B. PRAKASH, K. B. RAJU, K. V. SUBBAIAH, P. C. KRISHNAMACHARY, N. MANIKANDAN, and V. RAMYA, “Application of Taguchi based Grey Method for Multi Aspects Optimization on CNC Turning of AlSi7 Mg,†Mater. Today Proc., vol. 5, no. 6, pp. 14292–14301, 2018, doi: 10.1016/j.matpr.2018.03.011.

M. VIJAY KUMAR, B. J. KIRAN KUMAR, and N. RUDRESHA, “Optimization of Machining Parameters in CNC Turning of Stainless Steel (EN19) By TAGUCHI’S Orthogonal Array Experiments,†Mater. Today Proc., vol. 5, no. 5, pp. 11395–11407, 2018, doi: 10.1016/j.matpr.2018.02.107.

L. SELAK and D. BRAČUN, “Evaluation of localization systems for CNC machining of large FRPC parts,†Procedia CIRP, vol. 81, pp. 844–849, 2019, doi: 10.1016/j.procir.2019.03.210.