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Volumn 120, Issue 2, 1998, Pages 443-451

Adaptive optimization of face milling operations using neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CONTROL SYSTEMS; CUTTING; MACHINE TOOLS; NEURAL NETWORKS; OPTIMIZATION; SENSORS; WEAR OF MATERIALS;

EID: 0032075081     PISSN: 10871357     EISSN: 15288935     Source Type: Journal    
DOI: 10.1115/1.2830145     Document Type: Article
Times cited : (19)

References (18)
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  • 3
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    • Chua, M. S., Rahman, M., Wong, Y. S., and Loh, H. T., “Determination of Optimal Cutting Conditions Using Design of Experiments and Optimization Techniques,” Int. J. Mach. Tools Manufact., Vol. 33, No. 2, 1993, pp. 297-305.
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    • Chua, M.S.1    Rahman, M.2    Wong, Y.S.3    Loh, H.T.4
  • 4
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    • Autonomous Turning Operation Planning With Predicting Tool Wear and Surface Roughness
    • Matsumura, T., Obikawa, T., and Usui, E., “Autonomous Turning Operation Planning With Predicting Tool Wear and Surface Roughness,” Transactions of NAMRI/SME, Vol. 21, 1993, pp. 359-366.
    • (1993) Transactions of NAMRI/SME , vol.21 , pp. 359-366
    • Matsumura, T.1    Obikawa, T.2    Usui, E.3
  • 5
    • 13644273943 scopus 로고
    • Minimum Roughing Feed Rate for Double-pass Turning Operation to Be Economical Under Finish Feed Constraint
    • Narang, R. V., and Fischer, O. W., “Minimum Roughing Feed Rate for Double-pass Turning Operation to Be Economical Under Finish Feed Constraint,” Transactions of NAMRI/SME, Vol. 21, 1993, pp. 119-125.
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  • 6
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    • Machining Parameter Optimization for Specified Surface Roughness
    • Jang, D. Y., and Seireg, A., “Machining Parameter Optimization for Specified Surface Roughness,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 114, 1992, pp. 254-257.
    • (1992) ASME JOURNAL OF ENGINEERING FOR INDUSTRY , vol.114 , pp. 254-257
    • Jang, D.Y.1    Seireg, A.2
  • 8
    • 0024631951 scopus 로고
    • Learning and Optimization of Machining Operations Using Computing Abilities of Neural Networks
    • Rangwala, S. S., and Dornfeld, D. A., “Learning and Optimization of Machining Operations Using Computing Abilities of Neural Networks,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 19, No. 2, 1989, pp. 299-314.
    • (1989) IEEE Transactions on Systems, Man, and Cybernetics , vol.19 , Issue.2 , pp. 299-314
    • Rangwala, S.S.1    Dornfeld, D.A.2
  • 9
    • 0021370930 scopus 로고
    • A Mechanistic Model for the Prediction of the Force System in Face Milling Operations
    • Fu, H. J., DeVor, R. E., and Kapoor, S. G., “A Mechanistic Model for the Prediction of the Force System in Face Milling Operations,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 106, 1984, pp. 81-88.
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    • Fu, H.J.1    Devor, R.E.2    Kapoor, S.G.3
  • 11
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    • Adaptive Modeling of Milling Process and Application of a Neural Network for Tool Wear Monitoring
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    • (1996) Int. J. Of Adv. Manuf. Technol , vol.12 , pp. 5-13
    • Ko, T.J.1    Cho, D.W.2
  • 14
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    • Neural Network Sensor Fusion for Tool Condition Monitoring
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  • 15
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  • 16
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    • Tool Wear Modeling Through an Analytic Mechanistic Model of Milling Process
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.