On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 5, 2013, Pages 1671-1681

  Hessainia, Zahia ^a   Belbah, Ahmed ^a   Yallese, Mohamed Athmane ^a   Mabrouki, Tarek ^b   Rigal, Jean François ^b  

^a UNIVERSITY OF GUELMA   (Algeria)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

Analysis of variance; Ceramic tool; Hard turning; Response surface methodology; Surface roughness

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); CERAMIC CUTTING TOOLS; CERAMIC TOOLS; CUTTING; FORECASTING; SURFACE PROPERTIES; SURFACE ROUGHNESS;

COMPOSITE DESIRABILITY; CUTTING PARAMETERS; HARD TURNING; MAIN CUTTING FORCES; MINIMUM SURFACE ROUGHNESS; OPTIMIZATION TECHNIQUES; RESPONSE SURFACE METHODOLOGY; SURFACE ROUGHNESS MODEL;

TURNING;

EID: 84873717296     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.12.016     Document Type: Article

References (33)

1. P. Koshy, R.C. Dewes, and D.K. Aspinwall High speed end milling of hardened AISI D2 tool steel (≈58 HRC) Journal of Materials Processing Technology 127 2002 266 273
2. R.C. Dewes, and D.K. Aspinwall A review of ultra high speed milling of hardened steels Journal of Materials Processing Technology 69 1997 1 17
3. 2 ceramic cutting tools in sliding wear tests and in machining processes Journal of Materials Processing Technology 72 1997 249 255
4. S. Lo Casto, E. Lo Valvo, E. Lucchini, S. Maschio, M. Piacentini, and V.F. Ruisi Machining of steel with advanced ceramic cutting tools Key Engineering and Materials 114 1996 105 134
5. E. Aslan Experimental investigation of cutting tool performance in high speed cutting of hardened X210 Cr12 cold-work tool steel (62 HRC) Mater Design 26 2005 21 27
6. H. Aouici, M.A. Yallese, K. Chaoui, T. Mabrouki, and J.F. Rigal Analysis of surface roughness and cutting force components in hard turning with CBN tool: prediction model and cutting conditions optimization Measurement 45 2012 344 353
7. H. Bouchelaghem, M.A. Yallese, T. Mabrouki, A. Amirat, and J.F. Rigal Experimental investigation and performance analyses of CBN insert in hard turning of cold work tool steel (D3) Machining Science and Technology 14 2010 471 501
8. J.P. Davim, and L. Figueira Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques Materials and Design 28 2007 1186 1191
9. Y.K. Chou, C.J. Evans, and M.M. Barash Experimental investigation on CBN turning of hardened AISI 52100 steel Journal of Materials Processing Technology 124 2002 274 283
10. T. Ozel, T.-K. Hsu, and 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 25 3-4 2000 262 269
11. G.C. Benga, and A.M. Abrao Turning of hardened 100Cr6 bearing steel with ceramic and PCBN cutting tools Journal of Materials Processing Technology 143-144 2003 237 241
12. J.P. Davim Machining of Hard Materials 2011 Springer
13. G. Bartarya, and S.K. Choudhury State of the art in hard turning International Journal of Machine tools and Manufacture 53 2012 1 14
14. P.G. Bernardos, and G.C. Vosniakos Predicting surface roughness in machining: a review International Journal of Machine Tools and Manufacture 43 2003 833 844
15. C.F. Cheung, and W.B. Lee Multi-spectrum analysis of surface roughness formation in ultra-precision machining Precision Engineering 24 1 2000 77 87
16. E.D. Kirby, and J.C. Chen Development of a fuzzy-nets-based surface roughness prediction system in turning operations Computers and Industrial Engineering 53 2007 30 42
17. M. Arizmendi, F.J. Campa, J. Fernandez, L.N. Lopes de Lacalle, A. Gil, E. Bilbao, F. Veiga, and A. Lamikiz Model for surface topography prediction in peripheral milling considering tool vibration CIRP Annals-Manufacturing Technology 581 2009 93 96
18. M. Thomas, Y. Beauchamp, A.Y. Youssef, and J. Masounave Effect of tool vibration on surface roughness during lathe dry turning process Computers and Industrial Engineering 31 3-4 1996 637 644
19. D.Y. Jang, Y.G. Choi, H.G. Kim, and A. Hsiao Study of the correlation between surface roughness and cutting vibrations to develop an on-line roughness measuring technique in hard turning International Journal of Machine Tools and Manufacture 36 1996 453 464
20. A.M. Zain, H. Haron, and S. Sharif Prediction of surface roughness in the end milling using artificial neural network Expert Systems with Applications 37 2010 1755 1768
21. D.C. Montgomery Design and Analysis of Experiments 2001 John Wiley & Sons New York
22. H. Oktem, T. Erzurmlu, and H. Kurtaran Application of response surface methodology in the optimization of cutting conditions for surface roughness Journal of Materials Processing Technology 170 2005 11 16
23. B. Ozcelik, and T. Erzurmlu Determination of effecting dimensional parameters on warpage of thin shell plastic parts using integrated response surface method and genetic algorithm International Communication on Heat Transfer 32 2005 1085 1094
24. P.J. Ross Taguchi Techniques for Quality Engineering Loss Function Orthogonal Experiments Parameter and Tolerance Design second ed. 1996 McGraw-Hill New York, NY
25. V.N. Gained, S.R. Karnik, M. Faustino, and J.P. Davim Machinability analysis in turning tungsten-copper composite for application in EDM electrodes International Journal of Refractory Metals Hard Materials 27 2009 754 763
26. J.P. Davim A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments Journal of Materials Processing Technology 116 2001 305 308
27. J.G. Lima, R.F. Avila, A.M. Abrao, M. Faustino, and J.P. Davim Hard turning AISI 4340 high strength low alloyed steel and AISI D2 cold work steel Journal of Materials Processing Technology 169 2005 388 395
28. H. Zarepour, A. Fadaei, D. Karimi, S. Amini, Statistical analysis on surface roughness in EDM process of tool steel DIN 1.2714 used in forging dies, in: Proceedings of AMPT, Las Vegas, USA, July 30-August 3, 2006.
29. D.C. Montgomery Design and Analysis of Experiments fifth ed. 2001 John Wiley & Sons Inc. New York
30. D.C. Montgomery, and G.C. Runger Applied Statistics and Probability for Engineers third ed. 2003 John Wiley & Sons Inc. USA
31. L. Huang, and J.C. Chen A multiple regression model to predict in-process surface roughness in turning operation via accelerometer Journal of Industrial Technology 17 2 2001 1 8
32. K. Bouacha, MA Yallese, T. Mabrouki, and J.-F. Rigal Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52000 bearing steel with CBN Tool International Journal of Refractory Metals and Hard Materials 28 2010 349 361
33. R.H. Myers, and D.C. Montgomery Response Surface Methodology: Process and Product Optimization Using Designed Experiments second ed. 2002 John Wiley and Sons, Inc. New York