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Modelling and simulation of CNC machine tool feed drives

Pislaru, Crinela, Ford, Derek G. and Moreno-Castaneda, V.Y. (2005) Modelling and simulation of CNC machine tool feed drives. In: 7th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM & Robotic Performance, Lamdamap 2005, 27th-30th June 2005, Cranfield University. (Unpublished)

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      Abstract

      The paper presents a critical appraisal of existing methods for modelling and simulation of CNC machine tool feed drives. Their goal is the development of mathematical models which adequately replicate the dynamic behaviour of the actual machines. The advantages and disadvantages of lumped parameter models and modular approach are discussed and the suitability of mixed, hybrid, distributed-lumped modelling is emphasised. Some applications of other methods to CNC machine tool feed drives are examined. The importance of a thorough study regarding the factors influencing the machine dynamic performance and the strategies for error compensation and correction is underlined. The achieved accurate simulations for multi-axis machine tool applications will be used for automatic tuning and condition monitoring purposes.

      Item Type: Conference or Workshop Item (Paper)
      Subjects: T Technology > T Technology (General)
      T Technology > TJ Mechanical engineering and machinery
      Schools: School of Computing and Engineering
      School of Computing and Engineering > Centre for Precision Technologies
      School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group
      School of Computing and Engineering > Pedagogical Research Group
      School of Computing and Engineering > Diagnostic Engineering Research Centre
      School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
      School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
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      Depositing User: Sara Taylor
      Date Deposited: 07 May 2009 14:55
      Last Modified: 25 Nov 2010 11:56
      URI: http://eprints.hud.ac.uk/id/eprint/4234

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