Have a personal or library account? Click to login
Linear Motion Error Evaluation of Open-Loop CNC Milling Using a Laser Interferometer Cover

Linear Motion Error Evaluation of Open-Loop CNC Milling Using a Laser Interferometer

Open Access
|Mar 2022

References

  1. 1. Liu C, Xiang S, Lu C, Wu C, Du Z, Yang J. Dynamic and static error identification and separation method for three-axis CNC machine tools based on feature workpiece cutting. International Journal of Advanced Manufacturing Technology. 2020; 107(5–6): 2227-2238. https://doi.org/10.1007/s00170-020-05103-510.1007/s00170-020-05103-5
  2. 2. Martinov G M, Ljubimov A B, Martinova L I. From classic CNC systems to cloud-based technology and back. Robotics and Computer-Integrated Manufacturing. 2020; 63: 101927 https://doi.org/10.1016/j.rcim.2019.10192710.1016/j.rcim.2019.101927
  3. 3. Zhao W, Chen M, Xi W, Xi X, Zhao F, Zhang Y. Reconstructing CNC platform for EDM machines towards smart manufacturing. Procedia CIRP. 2020: 95: 161–177 https://doi.org/10.1016/j.procir.2020.03.13410.1016/j.procir.2020.03.134
  4. 4. Nurhadi H, Tarng Y S. Open-and closed-loop system of computer integrated desktop-scale CNC machine, IFAC Proceedings Volumes. 2010: 42(24):222–226. https://doi.org/10.3182/20091021-3-JP-2009.0004110.3182/20091021-3-JP-2009.00041
  5. 5. Andersen H V, Pitkänen K. Empowering educators by developing professional practice in digital fabrication and design thinking. International Journal of Child-Computer Interaction. 2019: 21: 1-16. https://doi.org/10.1016/j.ijcci.2019.03.00110.1016/j.ijcci.2019.03.001
  6. 6. Ropin H, Pfleger-Landthaler A. Irsa W A. FabLab as integrative part of a learning factory. Procedia Manufacturing. 2020;45: 355–360. https://doi.org/10.1016/j.promfg.2020.04.03310.1016/j.promfg.2020.04.033
  7. 7. Korkut I, Donertas M A. The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool-chip contact length during face milling. Materials and Design. 2007; 28(1): 308-312. https://doi.org/10.1016/j.matdes.2005.06.00210.1016/j.matdes.2005.06.002
  8. 8. Zmarzły P. Technological heredity of the turning process, Tehnicki Vjesnik. 2020; 27(4): 1194–1203.10.17559/TV-20190425150325
  9. 9. Mori M, Yamazaki K, Fujishima M, Liu J, Furukawa N. A study on development of an open servo system for intelligent control of a CNC machine tool. CIRP Annals - Manufacturing Technology. 2001; 50(1): 247–250. http://dx.doi.org/10.1016/S0007-8506(07)62115-510.1016/S0007-8506(07)62115-5
  10. 10. Zhou Q. Application of PLC in the CNC machine tool control system. Applied Mechanics and Materials. 2012; 182-183: 902–905. https://doi.org/10.4028/www.scientific.net/AMM.182-183.90210.4028/www.scientific.net/AMM.182-183.902
  11. 11. Xu HH, Dai C. Research on precision detection and error compensation technology for 3-axis CNC milling machine, Applied Mechanics and Materials. 2014: 455; 505–510. https://doi.org/10.4028/www.scientific.net/AMM.455.50510.4028/www.scientific.net/AMM.455.505
  12. 12. Ibaraki S, Oyama C, Otsubo H. Construction of an error map of rotary axes on a five-axis machining center by static R-test. International Journal of Machine Tools and Manufacture. 2011; 51(3): 190–200. http://dx.doi.org/10.1016/j.ijmachtools.2010.11.01110.1016/j.ijmachtools.2010.11.011
  13. 13. ISO 230-1. Test code for machine tools — Part 1: Geometric accuracy of machines operating under no-load or quasi-static conditions; 2012.
  14. 14. Blackshaw D M S. Machine tool accuracy and repeatability-a new approach with the revision of ISO 230-2. Transactions on Engineering Sciences. 1997; 16: 91-100. https://doi.org/10.2495/LAMDAMAP970081
  15. 15. ISO 10791-4. Test conditions for machining centres-Part 4: Accuracy and repeatability of positioning of linear and rotary axes. 1998
  16. 16. ISO 10791-6:2014. Test conditions for machining centres-Part 6: Accuracy of speeds and interpolations. 2014
  17. 17. Begović E, Plančić I, Ekinović S, Ekinov E. Laser Interferometry-Measurement and Calibration Method for Machine Tools, Proc 3rd Conference “MAINTENANCE 2014“, 2014; 19–28.
  18. 18. Zhang Y, Chu X, Yang S. Research of error detection and compensation of CNC machine tools based on laser interferometer, Proc in 2nd International Conference on Machinery, Materials Engineering, Chemical Engineering and Biotechnology, 2016; 285–289.10.2991/mmeceb-15.2016.56
  19. 19. Lasiyah, S., Development of accuracy measurement for mini Milling CNC with Helium-Neon Laser (in Indonesian). Final Project, Department of Mecahnical Engineering, Vocational College, Gadjah Mada University. 2019
  20. 20. Winarno A, Lasiyah S, Prayoga B T, Hendaryanto I A, Sukidjo F X. Development of accuracy evaluation method for open loop educational CNC Milling Machine. Jurnal Rekayasa Mesin. 2021; 12(1): 217-225. https://doi.org/10.21776/ub.jrm.2021.012.01.2310.21776/ub.jrm.2021.012.01.23
  21. 21. Stone J A, Decker J E, Gill P, Juncar P, Lewis A, Rovera G D, Viliesid M. Advice from the CCL on the use of unstabilized lasers as standards of wavelength: The helium-neon laser at 633 nm, Metrologia. 2009; 46(1): 11–18. https://doi.org/10.1088/0026-1394/46/1/00210.1088/0026-1394/46/1/002
  22. 22. Haitjema H. Calibration of displacement laser interferometer systems for industrial metrology, Sensors. 2019;19(19):1-21. https://dx.doi.org/10.3390%2Fs1919410010.3390/s19194100680627031546748
  23. 23. Ciddor P E, Hill R J. Refractive index of air 2 Group index, Applied Optics. 1999; 38(9): 1663-1667. https://doi.org/10.1364/AO.38.00166310.1364/AO.38.001663
  24. 24. Dobosz M, Iwasinska-Kowalska O. A new method of non-contact gauge block calibration using a fringe-counting technique: I. Theoretical basis, Optics and Laser Technology, 2010; 42(1): 141–148. https://doi.org/10.1016/j.optlastec.2009.05.01210.1016/j.optlastec.2009.05.012
  25. 25. Iwasinska-Kowalska O, Dobosz M. A new method of noncontact gauge block calibration using the fringe counting technique: II. Experimental verification, Optics and Laser Technology, 2010;42(1):149–155. https://doi.org/10.1016/j.optlastec.2009.05.01110.1016/j.optlastec.2009.05.011
  26. 26. Winarno A, Takahashi S, Matsumoto H, Takamasu K. A new measurement method to simultaneously determine group refractive index and thickness of a sample using low-coherence tandem interferometry. Precision Engineering, 2019; 55:254–259. https://doi.org/10.1016/j.precisioneng.2018.09.01310.1016/j.precisioneng.2018.09.013
  27. 27. Ni Y, Zhou H, Shao C, Li J. Research on the Error Averaging Effect in A Rolling Guide Pair. Chinese Journal of Mechanical Engineering (English Edition). 2019; 32(72). https://doi.org/10.1186/s10033-019-0386-y10.1186/s10033-019-0386-y
DOI: https://doi.org/10.2478/ama-2022-0016 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 124 - 129
Submitted on: Oct 2, 2021
Accepted on: Feb 10, 2022
Published on: Mar 24, 2022
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Agustinus Winarno, Benidiktus T. Prayoga, Ignatius A. Hendaryanto, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.