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Volumn 47, Issue 2, 2007, Pages 376-387

Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools

Author keywords

Feed forward neural network; Finite element analysis; Hybrid filter; Machine tools; Thermal deformation

Indexed keywords

DEFORMATION; FINITE ELEMENT METHOD; GRINDING MACHINES; NUMERICAL ANALYSIS; TEMPERATURE DISTRIBUTION;

EID: 33750931739     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmachtools.2006.03.007     Document Type: Article
Times cited : (99)

References (14)
  • 1
    • 58149207306 scopus 로고
    • International status of thermal error research
    • Bryan J. International status of thermal error research. Annals of the CIRP 39 (1990) 645-656
    • (1990) Annals of the CIRP , vol.39 , pp. 645-656
    • Bryan, J.1
  • 3
    • 0022793937 scopus 로고
    • A general methodology for machine tool accuracy enhancement by error compensation
    • Donmez M.A., Blomquist R.J., Hocken R.J., Liu C.R., and Barash M.M. A general methodology for machine tool accuracy enhancement by error compensation. Precision Engineering 8 4 (1986) 87-195
    • (1986) Precision Engineering , vol.8 , Issue.4 , pp. 87-195
    • Donmez, M.A.1    Blomquist, R.J.2    Hocken, R.J.3    Liu, C.R.4    Barash, M.M.5
  • 4
    • 0027696462 scopus 로고
    • Real-time compensation for time-variant volumetric errors on a machining center
    • Chen J.S., Yuan J.X., Ni J., and Wu S.M. Real-time compensation for time-variant volumetric errors on a machining center. Journal of Engineering Industry 115 (1993) 472-479
    • (1993) Journal of Engineering Industry , vol.115 , pp. 472-479
    • Chen, J.S.1    Yuan, J.X.2    Ni, J.3    Wu, S.M.4
  • 5
    • 0038399870 scopus 로고    scopus 로고
    • Dynamic modeling for machine tool thermal error compensation
    • Yang H., and Ni J. Dynamic modeling for machine tool thermal error compensation. Journal of Manufacturing Science and Engineering 125 (2003) 245-254
    • (2003) Journal of Manufacturing Science and Engineering , vol.125 , pp. 245-254
    • Yang, H.1    Ni, J.2
  • 7
    • 0029220625 scopus 로고
    • A strategy for the compensation of errors in five-axis machining
    • Veldhuis S.C., and Elbestawi M.A. A strategy for the compensation of errors in five-axis machining. Annals of the CIRP 44 1 (1995) 373-377
    • (1995) Annals of the CIRP , vol.44 , Issue.1 , pp. 373-377
    • Veldhuis, S.C.1    Elbestawi, M.A.2
  • 8
    • 79953735968 scopus 로고    scopus 로고
    • Neural network-based modelling and error compensation of thermally induced spindle errors
    • Chen J.S. Neural network-based modelling and error compensation of thermally induced spindle errors. The International Journal of Advanced Manufacturing Technology 12 (1996) 303-308
    • (1996) The International Journal of Advanced Manufacturing Technology , vol.12 , pp. 303-308
    • Chen, J.S.1
  • 9
    • 0029717272 scopus 로고    scopus 로고
    • K. Baker, B.K.N. Rao, A.D. Hope, S. Noroozi, Performance monitoring of a machining centre, in: IEEE, Instrumentation and Measurement Technology Conference, 1996, pp. 853-858.
  • 10
    • 0031199360 scopus 로고    scopus 로고
    • Compensation of thermal deformations in machine tools with neural nets
    • Vanherck P., Dehaes J., and Nuttin M. Compensation of thermal deformations in machine tools with neural nets. Computers in Industry 33 (1997) 119-125
    • (1997) Computers in Industry , vol.33 , pp. 119-125
    • Vanherck, P.1    Dehaes, J.2    Nuttin, M.3
  • 11
    • 0031139804 scopus 로고    scopus 로고
    • A method of using neural networks and inverse kinematics for machine tools
    • Mou J. A method of using neural networks and inverse kinematics for machine tools. Error Estimation and Correction 119 (1997) 247-254
    • (1997) Error Estimation and Correction , vol.119 , pp. 247-254
    • Mou, J.1
  • 12
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippmann R.P. An introduction to computing with neural nets. ASSP Magazine IEEE 4 2 (1987) 4-22
    • (1987) ASSP Magazine IEEE , vol.4 , Issue.2 , pp. 4-22
    • Lippmann, R.P.1
  • 13
    • 0028516118 scopus 로고
    • Feed-forward neural network
    • Bebis G., and Georgiopoulos M. Feed-forward neural network. IEEE Potentials 13 4 (1994) 27-31
    • (1994) IEEE Potentials , vol.13 , Issue.4 , pp. 27-31
    • Bebis, G.1    Georgiopoulos, M.2
  • 14
    • 33750962710 scopus 로고    scopus 로고
    • ANSYS Guides 2004, SAS IP. for INC., USA, 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.