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Volumn 45, Issue 2, 2010, Pages 102-107

Improved model to predict machined surface roughness based on the cutting vibrations signal during hard turning

Author keywords

Machining; Surface roughness; Turning; Vibration

Indexed keywords


EID: 79954490748     PISSN: 18972764     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (12)
  • 1
    • 52949148198 scopus 로고    scopus 로고
    • Study of the correlation between surface generation and cutting vibrations in peripheral milling
    • H. Jiang, X. Long, G. Meng, Study of the correlation between surface generation and cutting vibrations in peripheral milling, Journal of Materials Processing Technology 208 (2008) 229-238.
    • (2008) Journal of Materials Processing Technology , vol.208 , pp. 229-238
    • Jiang, H.1    Long, X.2    Meng, G.3
  • 2
    • 53949086080 scopus 로고    scopus 로고
    • Mathematical modelling of surface roughness for evaluating the effects of cutting parameters and coating material
    • M.C. Cakir, C. Ensarioglu, I. Demirayak, Mathematical modelling of surface roughness for evaluating the effects of cutting parameters and coating material, Journal of Materials Processing Technology 209/1 (2009) 102-109.
    • (2009) Journal of Materials Processing Technology , vol.209 , Issue.1 , pp. 102-109
    • Cakir, M.C.1    Ensarioglu, C.2    Demirayak, I.3
  • 3
    • 0003756803 scopus 로고    scopus 로고
    • Manufacturing automation, metal cutting mechanics, machine tool vibrations and CNC design
    • Cambridge University Press
    • Y. Altintas, Manufacturing automation, metal cutting mechanics, machine tool vibrations and CNC design, Cambridge University Press, 2000.
    • (2000)
    • Altintas, Y.1
  • 4
    • 0042301798 scopus 로고    scopus 로고
    • A multiple regression model to predict in-process surface roughness in turning operation via accelerometer
    • L. Huang, J. Chen, A multiple regression model to predict in-process surface roughness in turning operation via accelerometer, Journal of Industrial Technology 17 (2001) 2-8.
    • (2001) Journal of Industrial Technology , vol.17 , pp. 2-8
    • Huang, L.1    Chen, J.2
  • 7
    • 77949487565 scopus 로고    scopus 로고
    • Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN toll
    • K. Bouacha, M.A. Yallese, T. Mabrouki, J.F. Rigal, Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN toll, International Journal of Refractory Metals and Hard Materials 28/3 (2009) 349-361.
    • (2009) International Journal of Refractory Metals and Hard Materials , vol.28 , Issue.3 , pp. 349-361
    • Bouacha, K.1    Yallese, M.A.2    Mabrouki, T.3    Rigal, J.F.4
  • 8
    • 71749087451 scopus 로고    scopus 로고
    • Prediction of surface roughness in the end milling using artificial neural network
    • A.M. Zain, H. Haron, S. Sharif, Prediction of surface roughness in the end milling using artificial neural network, Expert Systems with Applications 37 (2010) 1755-1768.
    • (2010) Expert Systems with Applications , vol.37 , pp. 1755-1768
    • Zain, A.M.1    Haron, H.2    Sharif, S.3
  • 9
    • 62949132164 scopus 로고    scopus 로고
    • Prediction and control of surface roughness in CNC lathe using artificial neural network
    • D. Karayel, Prediction and control of surface roughness in CNC lathe using artificial neural network, Journal of Materials Processing Technology 209 (2009) 3125-3137.
    • (2009) Journal of Materials Processing Technology , vol.209 , pp. 3125-3137
    • Karayel, D.1
  • 10
    • 79954553921 scopus 로고    scopus 로고
    • Interpretation of the rough roughness measurement spectra of the surface profiles
    • J. Valicek, J. Mullerova, S. Hloch, Interpretation of the rough roughness measurement spectra of the surface profiles, Machines Technologies Materials (2008) 22-24.
    • (2008) Machines Technologies Materials , pp. 22-24
    • Valicek, J.1    Mullerova, J.2    Hloch, S.3
  • 12
    • 44749087329 scopus 로고    scopus 로고
    • Study on prediction of surface quality in machining process
    • Ch. Lu, Study on prediction of surface quality in machining process, Journal of Materials Processing Technology 205/1-3 (2008) 439-450.
    • (2008) Journal of Materials Processing Technology 205/1-3 , vol.205 , Issue.1-3 , pp. 439-450
    • Lu, Ch.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.