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Volumn , Issue , 2001, Pages 378-383

Model of the milling process on the basis of cutting force: A neural network-based approach

Author keywords

Milling process; Modeling; Neural networks

Indexed keywords

ALGORITHMS; COMMINUTION; CUTTING TOOLS; FORCE CONTROL; MACHINING; MATHEMATICAL MODELS; OPTIMIZATION; OSCILLATIONS; TOPOLOGY;

EID: 0005183137     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Article
Times cited : (4)

References (17)
  • 2
    • 0030449404 scopus 로고    scopus 로고
    • Force parameters for on- Line tool wear estimation - A neural network approach
    • Das, S., A.B. Chattopadhyay, and A.S.R. Murthy, Force parameters for on- line tool wear estimation - a neural network approach, Neural Networks, Vol. 9 No. 9, 1996, pp. 1639-1645.
    • (1996) Neural Networks , vol.9 , Issue.9 , pp. 1639-1645
    • Das, S.1    Chattopadhyay, A.B.2    Murthy, A.S.R.3
  • 4
    • 0032028610 scopus 로고    scopus 로고
    • Towards intelligent machining: Hierarchical fuzzy control for end milling process
    • R.E. Haber, C.R. Peres, et al., Towards Intelligent Machining: Hierarchical Fuzzy Control for End Milling Process, IEEE Transactions on Control Systems Technology Vol. 2, No.6, 1998 pp. 188-199.
    • (1998) IEEE Transactions on Control Systems Technology , vol.2 , Issue.6 , pp. 188-199
    • Haber, R.E.1    Peres, C.R.2
  • 5
    • 0030084394 scopus 로고    scopus 로고
    • Fuzzy supervisory of end milling process
    • R.H.Haber, J.R. Alique et al., Fuzzy Supervisory of End Milling Process, Information Sciences, Vol. 89, 1996, pp. 95-106.
    • (1996) Information Sciences , vol.89 , pp. 95-106
    • Haber, R.H.1    Alique, J.R.2
  • 6
    • 0000833730 scopus 로고
    • Optimal brain surgeon: Extensions, streamlining and performance comparisons
    • B. Hassibi et al., Optimal brain surgeon: Extensions, streamlining and performance comparisons, Advances in Neural Information Processing Systems, Vol. 6, 1994, pp. 263-271.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 263-271
    • Hassibi, B.1
  • 8
    • 4944231091 scopus 로고    scopus 로고
    • V Int. Conf. On Monitoring and Automatic Supervision in Manuf., Poland, August 20-21
    • K. Jemielniak, Commercial tool condition monitoring systems, V Int. Conf. On Monitoring and Automatic Supervision in Manuf., Poland, August 20-21, pp. 59-70 (1998).
    • (1998) Commercial Tool Condition Monitoring Systems , pp. 59-70
    • Jemielniak, K.1
  • 12
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural network
    • K.S. Narendra, K. Parthasarathy, Identification and control of dynamical systems using neural network, IEEE Trans. Neural Networks Vol. 1 1990, pp. 4-27.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 13
    • 0030216266 scopus 로고    scopus 로고
    • Control of cutting force for milling processes using an extended model reference adaptive control scheme
    • S. J. Rober, Y.C. Shin, Control of Cutting Force for Milling Processes using an extended Model Reference Adaptive Control Scheme, J. of Manufact. Science and Eng. Vol. 118, 1996, pp. 339-347.
    • (1996) J. of Manufact. Science and Eng. , vol.118 , pp. 339-347
    • Rober, S.J.1    Shin, Y.C.2
  • 14
    • 0032269638 scopus 로고    scopus 로고
    • On-line tool wear monitoring in turning using neural networks
    • Springer Verlag
    • B. Sick, On-Line Tool Wear Monitoring in Turning Using Neural Networks, Neural Computing & Applications; Vol. 7, No. 4, Springer Verlag, 1998, pp. 356-366.
    • (1998) Neural Computing & Applications , vol.7 , Issue.4 , pp. 356-366
    • Sick, B.1
  • 15
    • 0028466476 scopus 로고
    • A back-propagation algorithm applied to tool wear monitoring
    • S. Purushothaman, Y.G. Srinivasa, A Back-Propagation algorithm applied to tool wear monitoring, Int. J. Mach. Tools Manufact. 34 (5), (1994), 625-631.
    • (1994) Int. J. Mach. Tools Manufact. , vol.34 , Issue.5 , pp. 625-631
    • Purushothaman, S.1    Srinivasa, Y.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.