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Volumn 43, Issue 7, 2003, Pages 699-706

Predicting dynamic behaviours of a whole machine tool structure based on computer-aided engineering

Author keywords

Computer aided engineering; Dynamic behaviours; Dynamic modeling; Joint; Machine tools; Natural frequencies

Indexed keywords

COMPUTER SOFTWARE; JOINTS (STRUCTURAL COMPONENTS); MACHINE TOOLS; NATURAL FREQUENCIES;

EID: 0037402135     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0890-6955(03)00026-9     Document Type: Article
Times cited : (155)

References (10)
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  • 2
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    • Pergamon
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    • Development of the FEM for vibration analysis of machine tool structure and its application
    • Sato H., Kuroda Y., Sagara M. Development of the FEM for vibration analysis of machine tool structure and its application. Proc 14th Int MTDR Conf :1973;545-552.
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    • Sato, H.1    Kuroda, Y.2    Sagara, M.3
  • 4
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    • Experimental investigation on damping behaviors of normal joint surface at unit area
    • AMSE Press
    • Fu W.P., Huang Y.L., Zhang G.M. Experimental investigation on damping behaviors of normal joint surface at unit area. Modeling, Measurement and Control B, AMSE Press. 51:(2):1993;13-20.
    • (1993) Modeling, Measurement and Control B , vol.51 , Issue.2 , pp. 13-20
    • Fu, W.P.1    Huang, Y.L.2    Zhang, G.M.3
  • 7
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    • Computer-aided design improvement of machine tool states Incorporating joint dynamics data
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    • (1979) Annals of the CIRP , vol.28 , Issue.1 , pp. 241-246
    • Yoshihara, M.1
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    • Modeling of the general dynamics of machine tools with BP neural network
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    • Zhang, G.P.1    Huang, Y.M.2    Wang, S.J.3    Yan, X.4
  • 10
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    • Research on the normal dynamic characteristic parameters of joint surface
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    • Huang Y.M., Fu W.P., Dong L.X. Research on the normal dynamic characteristic parameters of joint surface. Journal of Mechanical Engineering. 29:(3):1993;74-77. In Chinese.
    • (1993) Journal of Mechanical Engineering , vol.29 , Issue.3 , pp. 74-77
    • Huang, Y.M.1    Fu, W.P.2    Dong, L.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.