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The use of 3-DOF laser interferometer for rapid estimation of CNC drives settings

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Although machine geometry measurements are an important part of mechanical engineering, they alone do not deliver enough information to set up or verify a CNC machine. The behaviour of the machine controller and its drive control settings usually need to be at least checked and in many situations corrected. In this article, on the basis of a developed machine error model, we show that it is sufficient to use a laser interferometer with a straightness measurement module to gather enough information in a single measurement to verify axis geometry and, at the same time, proper settings of machine servo loop gain. The results obtained during dynamic diagonal measurement can then be used to directly amend the servo settings. We prove our assumption in a series of real-world measurements.
Rocznik
Strony
56--67
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
  • Electronics, Wroclaw University of Science and Technology, Poland
  • Electronics, Photonics and Microsystems, Wroclaw University of Science and Technology, Poland
  • Development, Lasertex Co. Ltd, Poland
Bibliografia
  • [1] TUREK P., MODRZYCKI W., JEDRZEJEWSKI J., 2010, Analysis of Machine Tool Error Compensation Methods, Inzynieria Maszyn, 13, 1/2, 130–149 (in Polish).
  • [2] JEDRZEJEWSKI J., MODRZYCKI W.,2007, Compensation of Thermal Displacements of High-Speed Precision Machine Tools, Journal of Machine Engineering, 7/1, 108–114.
  • [3] TUREK P., JEDRZEJEWSKI J., MODRZYCKI W.,2010, Methods of Machine Tool Error Compensation, Journal of Machine Engineering, 10/4, 5–25.
  • [4] Renishaw, BallBar QC20-W, Instruction Manual, https://www.renishaw.com/en/qc20-w-ballbar-system-11075, (accessed on 15 May 2020).
  • [5] StatusPro,ProLine 200, Instruction Manual, Available online: https://www.statuspro.com/machine_tool_alignment/ proline_200/, (accessed on 15 May 2020).
  • [6] JIANG X., WANG L., LIU C., 2019, Geometric Accuracy Evaluation During Coordinated Motion of Rotary Axes of a Five-Axis Machine Tool, Measurement: Journal of the International Measurement Confederation, 146, 403—410.
  • [7] XIANG S., LI H., DENG M., et al.,2018, Geometric Error Identification and Compensation for Non-Orthogonal Five-Axis Machine Tools, Int. J. Adv. Manuf. Technol., 96, 2915–2929.
  • [8] ISO 230-2, 2014, Test Code for Machine Tools, Part 2, Determination of Accuracy and Repeatability of Positioning of Numerically Controlled Axes.
  • [9] MAREK T., BERTHOLD J., HOLUB M., 2018, A Quasi-Online Geometric Errors Compensation Method on CNC Machine Tool, 18th Int. Conf.. on Mechatronics – Mechatronika, Brno; Czech Republic; 5–7 December 2018.
  • [10] MONTAVON B., DAHLEM P., et al., 2018, Modelling Machine Tools using Structure Integrated Sensors for Fast Calibration, Journal of Manufacturing and Material Process, 2/1, 14, https://doi.org/10.3390/jmmp2010014.
  • [11] KUANG C., et al., 2005, A Four-Degree-of-Freedom Laser Measurement System (FDMS) Using a Single-Mode fiber-Coupled Laser Module, Sensors and Actuators A: Physical, 125, 100–108.
  • [12] RZEPKA J., BUDZYN G., 2003, Laser Measurement System for Machine Tools, Optical Metrology 2003, 30 May, Proc. SPIE 5144, Optical Measurement Systems for Industrial Inspection III.
  • [13] HPI-3D, Instruction Manual, 2020, www.lasertex.eu.
  • [14] BUDZYN G., RZEPKA J., KALUZA P.,2021, Laser Interferometer Based Instrument for 3D Dynamic Measurements of CNC Machines Geometry, Optics and Lasers in Engineering, 142, https://doi.org/10.1016/j.optlaseng.2021.106594.
  • [15] BUDZYN G., RZEPKA J., KALUZA P., 2018, Comparison of Static and Dynamic Laser Based Positioning Methods for Characterization of CNC Machines, Journal of Machine Engineering, 18/4, 39–46.
  • [16] Renishaw, 2016, XL-80 Laser Measurement System.
  • [17] DAHLEM P., MONTAVON B., PETEREK M., SCHMITT R.H., 2018, Enhancing Laser Step Diagonal Measurement by Multiple Sensors for Fast Machine Tool Calibration, Journal of Machine Engineering, 18/2, 64–73.
  • [18] Renishaw, 2019, XM-60 and XM-600 Multi-Axis Calibrator.
  • [19] ISO 230-6:2002, Test Code for Machine Tools, Part 6, Determination of Positioning Accuracy on Body and Face Diagonals (Diagonal Displacement Tests), ISO, Geneva.
  • [20] SVOBODA O., 2006, Testing the Diagonal Measuring Technique, Precision Engineering, 30, 132–144.
  • [21] HSU Y., WANG S., 2007, A New Compensation Method for Geometry Errors of Five-Axis Machine Tools, International Journal of Machine Tools and Manufacture, 47/2, 352–60.
  • [22] MURRAY R., LI Z., SASTRY S., 1994, A Mathematical Introduction to Robotic Manipulation, Boca Raton: CRC Press.
  • [23] DIMOVSKI I., TROMPESKA M., SAMAK S., et.al., 2018, Algorithmic Approach to Geometric Solution of Generalized Paden-Kahan Subproblem and its Extension, International Journal of Advanced Robotic System, 15/1, 1–11.
  • [24] FAN K., YANG J., YANG L., 2015, Unified Error Model Based Spatial Error Compensation for Four Types of CNC Machining Center: Part I-Singular Function Based Unified Error Model, Mechanical Systems and Signal Processing, 60/61, 656–67.
  • [25] YANG JX., DING H., 2016, A New Position Independent Geometric Errors Identification Model of Five-Axis Serial Machine Tools Based on Differential Motion Matrices, Journal of Machine Tools and Manufacture, 104, 68–77.
  • [26] FU G., FU J., XU Y., et al., 2015, Accuracy Enhancement of Five-Axis Machine Tool Based on Differential Motion Matrix: Geometric Error Modeling, Identification and Compensation, Journal of Machine Tools and Manufacture, 89, 170–181.
  • [27] HEIDENHAIN, iTNC530, 2002, Technical Manual, February.
  • [28] SIEMENS, Sinumerik 840Di sl, Comissioning Manual, 05/2008.
  • [29] GRAU J., SULITKA M., SOUCEK P., 2019, Influence of Linear Feed Drive Controller Setting in CNC Turning Lathe on the Stability of Machining, Journal of Machine Engineering, 19/2, 18–31.
  • [30] KWON H.D., BURDEKIN M.,1998, Adjustment of CNC Machine Tool Controller Setting Values by an Experimental Method, Journal of Machine Tools and Manufacture, 38, 1045–1065.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-38280be1-5b5c-45ce-8ed9-026d64b6a51d
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