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Volumn 108, Issue 3, 2001, Pages 286-293

Modeling the surface roughness and cutting force for turning

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; METAL CUTTING; REGRESSION ANALYSIS; SURFACE ROUGHNESS;

EID: 0035154004     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(00)00835-9     Document Type: Article
Times cited : (155)

References (13)
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    • Ei Baradie, M.A.1
  • 2
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    • Analytical study of surface roughness in turning
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    • (1981) Wear , vol.70 , pp. 165-175
    • Vajpayee, S.1
  • 3
    • 0027224997 scopus 로고
    • Surface roughness model for turning grey cast iron
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    • (1993) J. Eng. Manuf. , vol.207 , pp. 43-54
    • Ei Baradie, M.A.1
  • 4
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    • Surface-finish production models for fine turning
    • Mital A., Mehta M. Surface-finish production models for fine turning. Int. J. Product. Res. 26(12):1988;1861-1876.
    • (1988) Int. J. Product. Res. , vol.26 , Issue.12 , pp. 1861-1876
    • Mital, A.1    Mehta, M.2
  • 5
    • 0014828732 scopus 로고
    • Regression analysis for predicting surface-finish and its application in the determination of optimum machining conditions
    • August
    • A. Bhattacharyya, Regression analysis for predicting surface-finish and its application in the determination of optimum machining conditions, J. Eng. Ind. (August 1970) 711-714.
    • (1970) J. Eng. Ind. , pp. 711-714
    • Bhattacharyya, A.1
  • 6
    • 0016036136 scopus 로고
    • Multi-machining output - multi-independent variable turning research by response surface methodology
    • Taraman K. Multi-machining output - multi-independent variable turning research by response surface methodology. Int. J. Product. Res. 12(2):1974;233-245.
    • (1974) Int. J. Product. Res. , vol.12 , Issue.2 , pp. 233-245
    • Taraman, K.1
  • 7
    • 0031233460 scopus 로고    scopus 로고
    • On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion
    • Azouzi R., Guillot M. On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion. Int. J. Mach. Tools Manuf. 37(9):1997;1201-1217.
    • (1997) Int. J. Mach. Tools Manuf. , vol.37 , Issue.9 , pp. 1201-1217
    • Azouzi, R.1    Guillot, M.2
  • 8
    • 0028407979 scopus 로고
    • Predicting total machining performance in finish turning using integrated fuzzy-set models of the machinability parameters
    • Fang X.D., Jawahir I.S. Predicting total machining performance in finish turning using integrated fuzzy-set models of the machinability parameters. Int. J. Product. Res. 32(4):1994;833-849.
    • (1994) Int. J. Product. Res. , vol.32 , Issue.4 , pp. 833-849
    • Fang, X.D.1    Jawahir, I.S.2
  • 10
    • 0002167090 scopus 로고
    • Predicted square error: A criterion for automatic model selection
    • in: S.J. Farlow (Ed.), Marcel Dekker, New York
    • A.R. Barron, Predicted square error: a criterion for automatic model selection, in: S.J. Farlow (Ed.), Self-Organizing Methods in Modeling: GMDH Type Algorithms, Marcel Dekker, New York, 1984.
    • (1984) Self-Organizing Methods in Modeling: GMDH Type Algorithms
    • Barron, A.R.1
  • 11
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    • Abduction and induction
    • in: Buckler (Ed.), Dover, New York
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    • (1995) Philosophical Writing of Peirce
    • Peirce, C.1
  • 12
    • 39749093168 scopus 로고
    • The magic number seven, plus or minus two: Some limits on our capacity for processing information
    • Miller G.A. The magic number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63:1956;81-97.
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    • Miller, G.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.