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Tytuł artykułu

CNC machine tool error compensation system implementation strategies and their constraints

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with the constraints imposed on error compensation systems by their implementation strategies. Constraints stemming from the structure of the control system with an NCK architecture of the ADCBI type are presented. Practical realizations of compensation and potential solutions offered by contemporary commercial CNC controllers are discussed.
Słowa kluczowe
Rocznik
Strony
70--81
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Wroclaw University of Science and Technology, Department of Machine Tools and Mechanical Technologies, Wroclaw, Poland
  • Wroclaw University of Science and Technology, Department of Machine Tools and Mechanical Technologies, Wroclaw, Poland
  • Wroclaw University of Science and Technology, Department of Machine Tools and Mechanical Technologies, Wroclaw, Poland
Bibliografia
  • [1] JÓZWIK J., 2018, Experimental methods of error identification in CNC machine tool operation, Lublin University of Technology.
  • [2] ALTINTAS Y., VERL A., BRECHER C., URIARTE L., & PRITSCHOW G., 2011, Machine tool feed drives, CIRP Annals, 60/2, 779–796.
  • [3] SUH S.H., 2008, Theory and design of CNC systems, Springer Science & Business Media.
  • [4] ZHANG X., YANG L., LOU P., et al., 2019, Thermal Error Modelling for Heavy Duty CNC Machine Tool Based on Convolution Neural Network, IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference ITNEC, IEEE, 665–669.
  • [5] SCHWENKE H., KNAPP W., HAITJEMA H., et al., 2008, Geometric error measurement and compensation of machines – an update, CIRP Annals, 57/2, 660–675.
  • [6] SOORI M., AREZOO B., HABIBI M., 2014, Virtual machining considering dimensional, geometrical and tool deflection errors in three-axis CNC milling machines, Journal of Manufacturing Systems, 33/4, 498–507.
  • [7] RAKSIRI C., PARNICHKUN M., 2004, Geometric and force errors compensation in a 3-axis CNC milling machine, International Journal of Machine Tools and Manufacture, 44/12–13, 1283–1291.
  • [8] SHEN H., FU J., HE Y., YAO X., 2012, On-line asynchronous compensation methods for static/quasi-static error implemented on CNC machine tools, International Journal of Machine Tools and Manufacture, 60, 14–26.
  • [9] NOJEDEH M.V., HABIBI M., AREZOO B., 2011, Tool path accuracy enhancement through geometrical error compensation, International Journal of Machine Tools and Manufacture, 51/6, 471–482.
  • [10] ZHU S., DING G., QIN S., et al., 2012, Integrated geometric error modelling, identification and compensation of CNC machine tools, International journal of machine tools and manufacture, 52/1, 24–29.
  • [11] RATCHEV S., LIU S., HUANG W., BECKER A.A., 2006, An advanced FEA based force induced error compensation strategy in milling, International Journal of Machine Tools and Manufacture, 46/5, 542–551.
  • [12] VINOD P., REDDY T.N. SAJIN S., et al., 2014, Real-time positioning error compensation for a turning machine using neural network, Procedia Materials Science, 5, 2293–2300.
  • [13] REDDY T.N., SHANMUGARAJ V., PRAKASH V., et al., 2014, Real-time thermal error compensation module for intelligent Ultra Precision Turning Machine (iUPTM), Procedia materials science, 6, 1981–1988.
  • [14] TUREK P., JEDRZEJEWSKI J., MODRZYCKI W., 2010, Methods of machine tool error compensation, Journal of Machine Engineering, 10/4, 5–25.
  • [15] Siemens Company publications, i.a.: Extended Functions, SINUMERIK 840D sl/840DE sl. Version 4.91, Extended Functions, SINUMERIK 840D sl/828D, Version 4.7 SP2.
  • [16] CUI G., LU Y., GAO D., YAO Y., 2012, A novel error compensation implementing strategy and realizing on Siemens 840D CNC systems, The International Journal of Advanced Manufacturing Technology, 61/5–8, 595–608.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6d8e51fa-9d0f-403b-bf50-a7278ac85cb7
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