메뉴 건너뛰기




Volumn 223, Issue 9, 2009, Pages 1193-1205

Surface roughness prediction based on the correlation between surface roughness and cutting vibrations in dry turning with TiN-coated carbide tools

Author keywords

Cutting vibration; Surface quality; Surface roughness; Turning

Indexed keywords

COATED CARBIDE TOOLS; CUTTING VIBRATION; DRY TURNING; EIGEN-VALUE; EIGENVALUES; PREDICTION SYSTEMS; PRINCIPAL COMPONENTS; SIGNAL PROCESSING TECHNIQUE; SINGULAR SPECTRUM ANALYSIS; SURFACE QUALITIES; SURFACE QUALITY; TOOL FLANK WEAR; TOOL GEOMETRY; VIBRATION SIGNAL;

EID: 70349221120     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM1508     Document Type: Article
Times cited : (14)

References (47)
  • 1
    • 0016453017 scopus 로고
    • Tool vibration and its influence on surface roughness in turning
    • Selvam, M. S. Tool vibration and its influence on surface roughness in turning. Wear, 1975, 35(1), 149-157.
    • (1975) Wear , vol.35 , Issue.1 , pp. 149-157
    • Selvam, M.S.1
  • 2
    • 0017108520 scopus 로고
    • Surface roughness model for turning
    • Hasegawa, M., Seireg, A., and Lindberg, R. A. Surface roughness model for turning. Tribology, 1976, 9(6), 285-286.
    • (1976) Tribology , vol.9 , Issue.6 , pp. 285-286
    • Hasegawa, M.1    Seireg, A.2    Lindberg, R.A.3
  • 3
    • 0006913792 scopus 로고
    • Influence of random vibrations on the roughness of turned surfaces
    • Lasota, A. and Rusek, P. Influence of random vibrations on the roughness of turned surfaces. J. Mech. Working Technol., 1983, 7(3), 277-284.
    • (1983) J. Mech. Working Technol. , vol.7 , Issue.3 , pp. 277-284
    • Lasota, A.1    Rusek, P.2
  • 4
    • 0031635414 scopus 로고    scopus 로고
    • Engineering surfaces - A philosophy of manufacture (a proposal for good manufacturing practice)
    • DOI: 10.1243/0954405981515581
    • Stout, K. J. Engineering surfaces - a philosophy of manufacture (a proposal for good manufacturing practice). Proc. IMechE, Part B: J. Engineering Manufacture, 1998, 212, 169-174. DOI: 10.1243/0954405981515581.
    • (1998) Proc. IMechE Part B: J. Engineering Manufacture , vol.212 , pp. 169-174
    • Stout, K.J.1
  • 5
    • 0043160159 scopus 로고    scopus 로고
    • A model of milled surface generation for time domain simulation of high-speed cutting
    • DOI: 10.1243/09544050360686798
    • Peigne e, G., Paris, H., and Brissaud, D. A model of milled surface generation for time domain simulation of high-speed cutting. Proc. IMechE, Part B: J. Engineering Manufacture, 2003, 217, 919-930. DOI: 10.1243/ 09544050360686798.
    • (2003) Proc. IMechE, Part B: J. Engineering Manufacture , vol.217 , pp. 919-930
    • Peignee, G.1    Paris, H.2    Brissaud, D.3
  • 6
    • 0037224132 scopus 로고    scopus 로고
    • A study of cutting forces and surface finish in high-speed machining of AISI H13 tool steel using carbide tools with TiAIN based coatings
    • DOI: 10.1243/095440503321148786
    • Mativenga, P. T. and Hon, K. K. B. A study of cutting forces and surface finish in high-speed machining of AISI H13 tool steel using carbide tools with TiAIN based coatings. Proc. IMechE, Part B: J. Engineering Manufacture, 2003, 217, 143-151. DOI: 10.1243/ 095440503321148786.
    • (2003) Proc. IMechE Part B: J. Engineering Manufacture , vol.217 , pp. 143-151
    • Mativenga, P.T.1    Hon, K.K.B.2
  • 7
    • 49349084486 scopus 로고    scopus 로고
    • Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks
    • DOI: 10.1243/09544054JEM1079
    • Onwubolu, G. C. Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks. Proc. IMechE, Part B: J. Engineering Manufacture, 2008, 222, 785-795. DOI: 10.1243/ 09544054JEM1079.
    • (2008) Proc. IMechE Part B: J. Engineering Manufacture , vol.222 , pp. 785-795
    • Onwubolu, G.C.1
  • 8
    • 56149083827 scopus 로고    scopus 로고
    • Prediction of workpiece surface roughness using soft computing
    • DOI: 10.1243/09544054JEM1035
    • Samanta, B., Erevelles, W., and Omurtag, Y. Prediction of workpiece surface roughness using soft computing. Proc. IMechE, Part B: J. Engineering Manufacture, 2008, 222, 1221-1232. DOI: 10.1243/09544054JEM1035.
    • (2008) Proc. IMechE Part B: J. Engineering Manufacture , vol.222 , pp. 1221-1232
    • Samanta, B.1    Erevelles, W.2    Omurtag, Y.3
  • 9
    • 0028416373 scopus 로고
    • Correlating tool wear, tool life, surface roughness and tool vibration in finish turning with coated carbide tools
    • Bonifacio, M. E. R. and Diniz, A. E. Correlating tool wear, tool life, surface roughness and tool vibration in finish turning with coated carbide tools. Wear, 1994, 173(1-2), 137-144.
    • (1994) Wear , vol.173 , Issue.1-2 , pp. 137-144
    • Bonifacio, M.E.R.1    Diniz, A.E.2
  • 10
    • 0030129715 scopus 로고    scopus 로고
    • Study of the correlation between surface roughness and cutting vibrations to develop an on-line roughness measuring technique in hard turning
    • Jang, D. Y., Choi, Y. G., Kim, H. G., and Hsiao, A. Study of the correlation between surface roughness and cutting vibrations to develop an on-line roughness measuring technique in hard turning. Int. J. Mach. Tools Mf., 1996, 36, 453-464.
    • (1996) Int. J. Mach. Tools Mf. , vol.36 , pp. 453-464
    • Jang, D.Y.1    Choi, Y.G.2    Kim, H.G.3    Hsiao, A.4
  • 11
    • 0030402844 scopus 로고    scopus 로고
    • Effect of tool vibrations on surface roughness during lathe dry turning process
    • Thomas, M., Beauchamp, Y., Youssef, A. Y., and Masounave, J. Effect of tool vibrations on surface roughness during lathe dry turning process. Comput. and Ind. Engng, 1996, 31(3-4), 637-644.
    • (1996) Comput. and Ind. Engng , vol.31 , Issue.3-4 , pp. 637-644
    • Thomas, M.1    Beauchamp, Y.2    Youssef, A.Y.3    Masounave, J.4
  • 12
    • 0032116332 scopus 로고    scopus 로고
    • A study on the effects of vibrations on the surface finish using a surface topography simulation model for turning
    • Lin, S. C. and Chang, M. F. A study on the effects of vibrations on the surface finish using a surface topography simulation model for turning. Int. J. Mach. Tools Mf., 1998, 38, 763-782.
    • (1998) Int. J. Mach. Tools Mf. , vol.38 , pp. 763-782
    • Lin, S.C.1    Chang, M.F.2
  • 13
    • 0033730121 scopus 로고    scopus 로고
    • A multi-spectrum analysis of surface roughness formation in ultra-precision machining.
    • Cheung, C. F. and Lee, W. B. A multi-spectrum analysis of surface roughness formation in ultra-precision machining. Precision Engng, 2000, 24(1), 77-87.
    • (2000) Precision Engng , vol.24 , Issue.1 , pp. 77-87
    • Cheung, C.F.1    Lee, W.B.2
  • 14
    • 0035803629 scopus 로고    scopus 로고
    • Surface roughness prediction based on cutting parameters and tool vibrations in turning operations
    • Abouelatta, O. B. and Meadl, J. Surface roughness prediction based on cutting parameters and tool vibrations in turning operations. J. Mater. Processing Technol., 2001, 118(1-3), 269-277.
    • (2001) J. Mater. Processing Technol. , vol.118 , Issue.1-3 , pp. 269-277
    • Abouelatta, O.B.1    Meadl, J.2
  • 15
    • 0042301798 scopus 로고    scopus 로고
    • A multiple regression model to predict in-process surface roughness in turning operation via accelerometer
    • Huang, L. H. and Chen, J. C. A multiple regression model to predict in-process surface roughness in turning operation via accelerometer. J. Ind. Technol., 2001, 17(2), 1-8.
    • (2001) J. Ind. Technol. , vol.17 , Issue.2 , pp. 1-8
    • Huang, L.H.1    Chen, J.C.2
  • 16
    • 0037144746 scopus 로고    scopus 로고
    • Study of tool life surface roughness and vibration in machining nodular cast iron with ceramic tool
    • Ghani, A. K. and Choudhury, I. A. Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool. J. Mater. Processing Technol., 2002, 127, 17-22.
    • (2002) J. Mater. Processing Technol. , vol.127 , pp. 17-22
    • Ghani, A.K.1    Choudhury, I.A.2
  • 17
    • 0037427589 scopus 로고    scopus 로고
    • Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning
    • Risbood, K. A., Dixit, U. S., and Sahasrabudhe, A. D. Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning. J. Mater. Processing Technol., 2003, 132(1-3), 203-214.
    • (2003) J. Mater. Processing Technol. , vol.132 , Issue.1-3 , pp. 203-214
    • Risbood, K.A.1    Dixit, U.S.2    Sahasrabudhe, A.D.3
  • 18
    • 0037698101 scopus 로고    scopus 로고
    • Statistical investigation of modal parameters of cutting tools in dry turning
    • Thomas, M. and Beauchamp, Y. Statistical investigation of modal parameters of cutting tools in dry turning. Int. J. Mach. Tools Mf., 2003, 43(11), 1093-1106.
    • (2003) Int. J. Mach. Tools Mf. , vol.43 , Issue.11 , pp. 1093-1106
    • Thomas, M.1    Beauchamp, Y.2
  • 19
    • 33144478321 scopus 로고    scopus 로고
    • Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations
    • Kirby, E. D., Chen, J. C., and Zhang, J. Z. Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations. Expert Syst. with Applic., 2006, 30(4), 592-604.
    • (2006) Expert Syst. with Applic. , vol.30 , Issue.4 , pp. 592-604
    • Kirby, E.D.1    Chen, J.C.2    Zhang, J.Z.3
  • 20
    • 34047132833 scopus 로고    scopus 로고
    • Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts
    • Ozel, T., Karpat, Y., Figueira, L., and Paulo Davim, J. Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. J. Mater. Processing Technol., 2007, 189(1-3), 192-198.
    • (2007) J. Mater. Processing Technol. , vol.189 , Issue.1-3 , pp. 192-198
    • Ozel, T.1    Karpat, Y.2    Figueira, L.3    Paulo Davim, J.4
  • 21
    • 39949083945 scopus 로고    scopus 로고
    • Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach
    • El-Sonbaty, I. A., Khashaba, U. A., Selmy, A. I., and Ali, A. I. Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach. J. Mater. Processing Technol., 2008, 200(1-3), 271-278.
    • (2008) J. Mater. Processing Technol. , vol.200 , Issue.1-3 , pp. 271-278
    • El-Sonbaty, I.A.1    Khashaba, U.A.2    Selmy, A.I.3    Ali, A.I.4
  • 22
    • 0038298770 scopus 로고    scopus 로고
    • Predicting surface roughness in machining: A review
    • Bernardos, P. G. and Vosniakos, G. C. Predicting surface roughness in machining: a review. Int. J. Mach. Tools Mf., 2003, 43, 833-844.
    • (2003) Int. J. Mach. Tools Mf. , vol.43 , pp. 833-844
    • Bernardos, P.G.1    Vosniakos, G.C.2
  • 23
    • 44749087329 scopus 로고    scopus 로고
    • Study on prediction of surface quality in machining process
    • DOI: 10.1016/j.jmatprotec.2007.11.270
    • Lu, C. Study on prediction of surface quality in machining process. J. Mater. Processing Technol.,2008, 205(1-3), 439-450. DOI: 10.1016/j.jmatprotec. 2007.11.270.
    • (2008) J. Mater. Processing Technol. , vol.205 , Issue.1-3 , pp. 439-450
    • Lu, C.1
  • 24
    • 0031144509 scopus 로고    scopus 로고
    • Surface roughness prediction in the turning of high-strength steel by factorial design of experiments
    • Choudhury, I. A. and EI-Baradie, M. A. Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J. Mater. Processing Technol., 1997, 67, 55-61.
    • (1997) J. Mater. Processing Technol. , vol.67 , pp. 55-61
    • Choudhury, I.A.1    Ei-Baradie, M.A.2
  • 25
    • 0035154004 scopus 로고    scopus 로고
    • Modelling the surface roughness and cutting force for turning
    • Lin, W. S., Lee, B. Y., and Wu, C. L. Modelling the surface roughness and cutting force for turning. J. Mater. Processing Technol., 2001, 108, 286-293.
    • (2001) J. Mater. Processing Technol. , vol.108 , pp. 286-293
    • Lin, W.S.1    Lee, B.Y.2    Wu, C.L.3
  • 26
    • 11044234775 scopus 로고    scopus 로고
    • A. Surface roughness model for machining mild steel with coated carbide tool
    • Sahin, Y. and Riza Motorcu, A. Surface roughness model for machining mild steel with coated carbide tool. Materials and Des., 2005, 26, 321-326.
    • (2005) Materials and Des. , vol.26 , pp. 321-326
    • Sahin, Y.1    Motorcu, R.2
  • 27
    • 17844399244 scopus 로고    scopus 로고
    • Surface roughness prediction model by design of experiments for turning machinable glass-ceramic (Macor)
    • Dabnun, M. A., Hashmi, M. S. J., and El-Baradie, M. A. Surface roughness prediction model by design of experiments for turning machinable glass-ceramic (Macor). J. Mater. Processing Technol., 2005, 164-165, 1289-1293.
    • (2005) J. Mater. Processing Technol. , vol.164-165 , pp. 1289-1293
    • Dabnun, M.A.1    Hashmi, M.S.J.2    El-Baradie, M.A.3
  • 28
    • 44749086674 scopus 로고    scopus 로고
    • Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models
    • DOI: 10.1016/j.jmatprotec.2007.11.082
    • Paulo Davim, J., Gaitondeb, V. N., and Karnikc, S. R. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models. J. Mater. Processing Technol., 2008, 205(1-3), 16-23. DOI: 10.1016/j.jmatprotec.2007.11.082.
    • (2008) J. Mater. Processing Technol. , vol.205 , Issue.1-3 , pp. 16-23
    • Paulo Davim, J.1    Gaitondeb, V.N.2    Karnikc, S.R.3
  • 29
    • 12444249998 scopus 로고    scopus 로고
    • Predictive of modeling surface roughness and tool wear in hard turning using Proc. IMechE Vol. 223 Part B: J. Engineering Manufacture regression and neural networks
    • T. Karpat, Predictive ofOzel, and Y. modeling surface roughness and tool wear in hard turning using Proc. IMechE Vol. 223 Part B: J. Engineering Manufacture regression and neural networks. Int. J. Mach. Tools Mf., 2005, 45, 467-479.
    • (2005) Int. J. Mach. Tools Mf. , vol.45 , pp. 467-479
    • Ozel, T.1    Karpat, Y.2
  • 30
    • 34247328174 scopus 로고    scopus 로고
    • A surface roughness prediction model for hard turning process
    • Singh, D. and Venkateswara Rao, P. A surface roughness prediction model for hard turning process. Int. J. Advd. Mf. Technol., 2007, 32, 1104-1115.
    • (2007) Int. J. Advd. Mf. Technol. , vol.32 , pp. 1104-1115
    • Singh, D.1    Venkateswara Rao, P.2
  • 31
    • 0034291603 scopus 로고    scopus 로고
    • Application of image and sound analysis techniques to monitor the condition of cutting tools
    • Mannan, M. A., Kassim, A. A., and Jing, M. Application of image and sound analysis techniques to monitor the condition of cutting tools. Pattern Recogn. Lett., 2000, 21, 969-979.
    • (2000) Pattern Recogn. Lett. , vol.21 , pp. 969-979
    • Mannan, M.A.1    Kassim, A.A.2    Jing, M.3
  • 32
    • 0142168364 scopus 로고    scopus 로고
    • On-line measuring of ground surface roughness based on friction-induced acoustic emission
    • Liu, G. J., Gong, Y. D., and Wang, W. S. On-line measuring of ground surface roughness based on friction-induced acoustic emission. Tribology, 2003, 23, 236-239.
    • (2003) Tribology , vol.23 , pp. 236-239
    • Liu, G.J.1    Gong, Y.D.2    Wang, W.S.3
  • 33
    • 42449112371 scopus 로고    scopus 로고
    • Development of an accelerometer-based surface roughness prediction system in turning operations using multiple regression techniques
    • Kirby, E. D., Zhang, Z., and Chen, J. C. Development of an accelerometer-based surface roughness prediction system in turning operations using multiple regression techniques. J. Ind. Technol., 2004, 20(4),1-8.
    • (2004) J. Ind. Technol. , vol.20 , Issue.4 , pp. 1-8
    • Kirby, E.D.1    Zhang, Z.2    Chen, J.C.3
  • 34
    • 0032184390 scopus 로고    scopus 로고
    • Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network
    • Jemielniak, K., Kwiatkowski, L., and Wrzosek, P. Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network. J. Intell. Mf., 1998, 9, 447-455.
    • (1998) J. Intell. Mf. , vol.9 , pp. 447-455
    • Jemielniak, K.1    Kwiatkowski, L.2    Wrzosek, P.3
  • 35
    • 0037402139 scopus 로고    scopus 로고
    • Drilling wear detection and classification using vibration signals and artificial neural network
    • Abu-Mahfouz, I. Drilling wear detection and classification using vibration signals and artificial neural network. Int. J. Mach. Tools Mf., 2003, 43(7), 707-720.
    • (2003) Int. J. Mach. Tools Mf. , vol.43 , Issue.7 , pp. 707-720
    • Abu-Mahfouz, I.1
  • 36
    • 0036568640 scopus 로고    scopus 로고
    • A genetic algorithmic approach for optimization of surface roughness prediction model
    • Suresh, P. V. S., Venkateswara Rao, P., and Deshmukh, S. G. A genetic algorithmic approach for optimization of surface roughness prediction model. Int. J. Mach. Tools Mf., 2002, 42, 675-680.
    • (2002) Int. J. Mach. Tools Mf. , vol.42 , pp. 675-680
    • Suresh, P.V.S.1    Venkateswara Rao, P.2    Deshmukh, S.G.3
  • 37
    • 3042774604 scopus 로고    scopus 로고
    • Monitoring of flank wear of coated tools in high speed machining with a neural network ART2
    • Niranjan Prasad, K. and Ramamoorthy, B. Monitoring of flank wear of coated tools in high speed machining with a neural network ART2. Int. J. Mach. Tools Mf., 2004, 44(12-13), 1311-1318.
    • (2004) Int. J. Mach. Tools Mf. , vol.44 , Issue.12-13 , pp. 1311-1318
    • Niranjan Prasad, K.1    Ramamoorthy, B.2
  • 38
    • 30844471385 scopus 로고    scopus 로고
    • Tool wear detection in turning operations using singular spectrum analysis
    • Salgado, D. R. and Alonso, F. J. Tool wear detection in turning operations using singular spectrum analysis. J. Mater. Processing Technol., 2006, 171(3), 451-458.
    • (2006) J. Mater. Processing Technol. , vol.171 , Issue.3 , pp. 451-458
    • Salgado, D.R.1    Alonso, F.J.2
  • 41
    • 0035392024 scopus 로고    scopus 로고
    • The application of some non-linear methods in rotating machinery fault diagnosis
    • Wang, W. J., Chen, J., and Wu, X. K. The application of some non-linear methods in rotating machinery fault diagnosis. Mechanical Syst. and Signal Processing, 2001, 15, 697-705.
    • (2001) Mechanical Syst. and Signal Processing , vol.15 , pp. 697-705
    • Wang, W.J.1    Chen, J.2    Wu, X.K.3
  • 42
    • 38149114090 scopus 로고    scopus 로고
    • Analysis of the structure of vibration signals for tool wear detection
    • Alonso, F. J. and Salgado, D. R. Analysis of the structure of vibration signals for tool wear detection. Mechanical Syst. and Signal Processing, 2008, 22, 735-748.
    • (2008) Mechanical Syst. and Signal Processing , vol.22 , pp. 735-748
    • Alonso, F.J.1    Salgado, D.R.2
  • 43
    • 34548361987 scopus 로고    scopus 로고
    • An approach based on current and sound signals for in-process tool wear monitoring
    • Salgado, D. R. and Alonso, F. J. An approach based on current and sound signals for in-process tool wear monitoring. Int. J. Mach. Tools Mf., 2007, 47, 2140-2152.
    • (2007) Int. J. Mach. Tools Mf. , vol.47 , pp. 2140-2152
    • Salgado, D.R.1    Alonso, F.J.2
  • 44
    • 27644553923 scopus 로고    scopus 로고
    • Application of singular spectrum analysis to tool wear detection using sound signals
    • DOI: 10.1243/095440505X32634
    • Alonso, F. J. and Salgado, D. R. Application of singular spectrum analysis to tool wear detection using sound signals. Proc. IMechE, Part B: J. Engineering Manufacture, 2005, 219, 703-710. DOI: 10.1243/ 095440505X32634.
    • (2005) Proc. IMechE Part B: J. Engineering Manufacture , vol.219 , pp. 703-710
    • Alonso, F.J.1    Salgado, D.R.2
  • 45
    • 67650000504 scopus 로고    scopus 로고
    • In-process surface roughness prediction system using cutting vibrations in turning
    • in press. DOI: 10.1007/s00170008-1698-8
    • Salgado, D. R., Alonso, F. J., Cambero, I., and Marcelo, A. In-process surface roughness prediction system using cutting vibrations in turning. Int. J. Advd Mf. Technol., 2009, in press. DOI: 10.1007/s00170008-1698-8.
    • (2009) Int. J. Advd Mf. Technol.
    • Salgado, D.R.1    Alonso, F.J.2    Cambero, I.3    Marcelo, A.4
  • 46
    • 0036642049 scopus 로고    scopus 로고
    • Micro-topographic analysis of turned surfaces by model-based scatterometry
    • Hertzsch, A., Kröger, K., and Truckenbrodt, H. Micro-topographic analysis of turned surfaces by model-based scatterometry. Precision Engng, 2002, 26(3), 306-313.
    • (2002) Precision Engng , vol.26 , Issue.3 , pp. 306-313
    • Hertzsch, A.1    Kröger, K.2    Truckenbrodt, H.3
  • 47
    • 33846844788 scopus 로고    scopus 로고
    • Tool wear predictive model based on least squares support vector machines
    • Shi, D., Nabil, N., and Gindy, N. N. Tool wear predictive model based on least squares support vector machines. Mechanical Syst. and Signal Processing, 2007, 21(4), 1799-1814.
    • (2007) Mechanical Syst. and Signal Processing , vol.21 , Issue.4 , pp. 1799-1814
    • Shi, D.1    Nabil, N.2    Gindy, N.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.