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Volumn 33, Issue , 2005, Pages 179-186

Hard turning optimization using neural network modeling and swarm intelligence

Author keywords

Hard turning; Neural networks; Optimization; Swarm intelligence

Indexed keywords

HARD TURNING; SWARM INTELLIGENCE;

EID: 32844468514     PISSN: 10473025     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (19)
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  • 3
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    • Thiele, J.D.1    Melkote, S.N.2
  • 4
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    • J.D. Thiele, S.N. Melkote, R.A. Peascoe, T.R. Watkins, "Effect of cutting-edge geometry and workpiece hardness on surface residual stresses in finish hard turning of AISI 52100 steel", ASME Journal of Manufacturing Science and Engineering, Vol. 122, 2000, pp.642-649.
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    • Thiele, J.D.1    Melkote, S.N.2    Peascoe, R.A.3    Watkins, T.R.4
  • 5
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  • 8
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    • in-press
    • T. Özel, T-K. Hsu, E. Zeren, "Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel, International Journal of Advanced Manufacturing Technology, 2004, in-press.
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    • Özel, T.1    Hsu, T.-K.2    Zeren, E.3
  • 9
    • 0031235710 scopus 로고    scopus 로고
    • Neural network solutions to the tool condition monitoring problem in metal cutting - A review critical review of methods
    • D.E. Dimla, P.M. Lister, N.J Leighton, "Neural network solutions to the tool condition monitoring problem in metal cutting - A review critical review of methods", International Journal of Machine Tools and Manufacture, Vol. 39, 1997, pp 1219-1241.
    • (1997) International Journal of Machine Tools and Manufacture , vol.39 , pp. 1219-1241
    • Dimla, D.E.1    Lister, P.M.2    Leighton, N.J.3
  • 10
    • 0036027375 scopus 로고    scopus 로고
    • Prediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools
    • T. Özel, A. Nadgir, "Prediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools", International Journal of Machine Tools and Manufacture, Vol. 42, 2002, pp. 287-297.
    • (2002) International Journal of Machine Tools and Manufacture , vol.42 , pp. 287-297
    • Özel, T.1    Nadgir, A.2
  • 11
    • 0031233460 scopus 로고    scopus 로고
    • On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion
    • R. Azouzi, M. Guillot, "On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion", International Journal of Machine Tools and Manufacture, Vol. 37, No 9, 1997, pp 1201-1217.
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  • 14
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    • T. Özel and Y. Karpat, "Predictive Modeling of Surface Roughness and Tool Wear in Hard Turning using Regression and Neural Networks", International Journal of Machine Tools and Manufacture, Vol. 45, 2005, pp. 467-479.
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    • Özel, T.1    Karpat, Y.2
  • 19
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    • Fang, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.