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Original scientific paper
https://doi.org/10.17559/TV-20161207171012

Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks

Izabela Rojek ; Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-064 Bydgoszcz, Poland
Michał Kowal ; Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
Antun Stoic ; Mechanical Engineering Faculty of Slavonski Brod, J. J. Strossmayer University of Osijek, Trg Ivane Brlic Mazuranic 2, 35000 Slavonski Brod, Croatia

Fulltext: english, pdf (2 MB) pages 1697-1703 downloads: 295* cite
APA 6th Edition
Rojek, I., Kowal, M. & Stoic, A. (2017). Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks. Tehnički vjesnik, 24 (6), 1697-1703. https://doi.org/10.17559/TV-20161207171012
MLA 8th Edition
Rojek, Izabela, et al. "Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks." Tehnički vjesnik, vol. 24, no. 6, 2017, pp. 1697-1703. https://doi.org/10.17559/TV-20161207171012. Accessed 17 Oct. 2019.
Chicago 17th Edition
Rojek, Izabela, Michał Kowal and Antun Stoic. "Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks." Tehnički vjesnik 24, no. 6 (2017): 1697-1703. https://doi.org/10.17559/TV-20161207171012
Harvard
Rojek, I., Kowal, M., and Stoic, A. (2017). 'Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks', Tehnički vjesnik, 24(6), pp. 1697-1703. https://doi.org/10.17559/TV-20161207171012
Vancouver
Rojek I, Kowal M, Stoic A. Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks. Tehnički vjesnik [Internet]. 2017 [cited 2019 October 17];24(6):1697-1703. https://doi.org/10.17559/TV-20161207171012
IEEE
I. Rojek, M. Kowal and A. Stoic, "Predictive compensation of thermal deformations of ball screws in CNC machines using neural networks", Tehnički vjesnik, vol.24, no. 6, pp. 1697-1703, 2017. [Online]. https://doi.org/10.17559/TV-20161207171012
Fulltext: croatian, pdf (2 MB) pages 1697-1703 downloads: 151* cite
APA 6th Edition
Rojek, I., Kowal, M. & Stoic, A. (2017). Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža. Tehnički vjesnik, 24 (6), 1697-1703. https://doi.org/10.17559/TV-20161207171012
MLA 8th Edition
Rojek, Izabela, et al. "Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža." Tehnički vjesnik, vol. 24, no. 6, 2017, pp. 1697-1703. https://doi.org/10.17559/TV-20161207171012. Accessed 17 Oct. 2019.
Chicago 17th Edition
Rojek, Izabela, Michał Kowal and Antun Stoic. "Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža." Tehnički vjesnik 24, no. 6 (2017): 1697-1703. https://doi.org/10.17559/TV-20161207171012
Harvard
Rojek, I., Kowal, M., and Stoic, A. (2017). 'Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža', Tehnički vjesnik, 24(6), pp. 1697-1703. https://doi.org/10.17559/TV-20161207171012
Vancouver
Rojek I, Kowal M, Stoic A. Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža. Tehnički vjesnik [Internet]. 2017 [cited 2019 October 17];24(6):1697-1703. https://doi.org/10.17559/TV-20161207171012
IEEE
I. Rojek, M. Kowal and A. Stoic, "Predvidiva kompenzacija toplinskih deformiranja kuglastih vijaka u CNC strojevima primjenom neuronskih mreža", Tehnički vjesnik, vol.24, no. 6, pp. 1697-1703, 2017. [Online]. https://doi.org/10.17559/TV-20161207171012

Abstracts
The need to improve the accuracy of positioning of a servo-drive was the stimulus for research on a new sensorless method for compensation of thermal deformations of ball screws, enabling predictive compensation of the elongation of such a screw based on historical data. Models have been developed for the predictive compensation of thermal deformations of ball screws in CNC machines, in the form of single-directional multi-layered neural networks with error back-propagation (MLP), radial basis function neural networks (RBF) and Kohonen networks. Neural networks were developed with different structures and learning parameters, and these networks were compared. Models were evaluated in terms of the effectiveness of operation of the networks. The models were tested on real data.

Keywords
ball screw; CNC machine tool; neural network; prediction model; thermal compensation

Hrčak ID: 190165

URI
https://hrcak.srce.hr/190165

[croatian]

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