Application of ANOVA and Taguchi Methods for Evaluation of the Surface Roughness of Stellite-6 Coating Material

References

1 M.Sokovic, J.Mikuła, L. A.Dobrzanski, J.Kopac, L.Kosec, P.Panjan, J.Madejski, A.Piech: Cutting properties of the Al₂O₃ + SiC(w) based tool ceramic reinforced with the PVD and CVD wear resistant coatings, J. Mater. Process. Technol.164–165 (2005), pp. 924–929 DOI:10.1016/j.jmatprotec.2005.02.071Search in Google Scholar

2 S. C.Agarwal, H.Ocken: The microstructure and galling wear of a laser-melted cobalt-based hardfacing alloy, Wear140 (1990), pp. 223–233 DOI:10.1016/0043-1648(90)90085-OSearch in Google Scholar

3 S.Aykut, M.Demetgul, I. N.Tansel: Selection of optimum cutting condition of cobalt based alloy with GONN, Int. J. Adv. Manuf. Technol.46 (2010), pp. 957–967 DOI:10.1007/s00170-009-2165-xSearch in Google Scholar

4 P.Crook: Properties and selection: Non-ferrous alloys and special-purpose materials 2 (10), Metals Handbook, ASM Int., USA (1993)Search in Google Scholar

5 B.Li, J.Deng, Z.Wu: Effect of cutting atmosphere on dry machining performance with Al₂O₃/ZrB₂/ZrO₂ ceramic tool, Int. J. Adv. Manuf. Technol.49 (2010), pp. 459–467 DOI:10.1007/s00170-009-2422-zSearch in Google Scholar

6 K.Aslantas, I.Ucun: The performance of ceramic and cermet cutting tools for the machining of austempered ductile iron, Int. J. Adv. Manuf. Technol.41 (2009), pp. 642–650 DOI:10.1007/s00170-008-1528-zSearch in Google Scholar

7 S. K.Bhattacharyya, E. O.Ezugwu, A.Jawahid: The performance of ceramic tool materials for the machining of cast iron, Wear135 (1989), pp. 147–159 DOI:10.1016/0043-1648(89)90102-6Search in Google Scholar

8 A. K.Ghani, A.Choudhary, Husni: Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool, J. Mater. Process. Technol.127 (2002), pp. 17–22 DOI:10.1016/S0924-0136(02)00092-4Search in Google Scholar

9 N.Camuscu: Effect of cutting speed on the performance of Al₂O₃ based ceramic tools in turning nodular cast iron, Mater. Des.27 (2006), pp. 997–1006 DOI:10.1016/j.matdes.2005.02.011Search in Google Scholar

10 A. S.Kumar, A. R.Durai, T.Sornakumar: Wear behaviour of alumina based ceramic cutting tools on machining steels, Tribol. Int.39 (2006), pp. 191–197 DOI:10.1016/j.triboint.2005.01.021Search in Google Scholar

11 W.Grzesik, Wear development on wiper Al₂O₃-TiC mixed ceramic tools in hard machining of high strength steel, Wear266 (2009), pp. 1021–1028 DOI:10.1016/j.wear.2009.02.010Search in Google Scholar

12 H.Oktem, T.Erzurumlu, F.Erzincanli: Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm, Mater. Des.27 (2006), pp. 735–744 DOI:10.1016/j.matdes.2005.01.010Search in Google Scholar

13 C. K.Chang, H. S.Lu: Study on the prediction model of surface roughness for side milling operations, Int. J. Adv. Manuf. Technol.29 (2006), pp. 867–878 DOI:10.1007/s00170-005-2604-2Search in Google Scholar

14 W.Grzesik: A revised model for predicting surface roughness in turning, Wear194 (1996), pp. 143–148 DOI:10.1016/0043-1648(95)06825-2Search in Google Scholar

15 S. C.Lin, M. F.Chang: A study on the effects of vibrations on the surface finish using a surface topography simulation model for turning, Int. J. Mach. Tool Manuf.38 (1998), pp. 763–782 DOI:10.1016/S0890-6955(97)00073-4Search in Google Scholar

16 C. C. A.Chen, W. C.Liu, N. A.Duffie: A surface topography model for automated surface finishing, Int. J. Mach. Tool Manuf.38 (1998), pp. 543–550 DOI:10.1016/S0890-6955(97)00100-4Search in Google Scholar

17 A. E.Diniz, J. C.Filho: Influence of the relative positions of tool and workpiece on tool life, tool wear and surface finish in the face milling process, Wear232 (1999), pp. 67–75 DOI:10.1016/S0043-1648(99)00159-3Search in Google Scholar

18 I.Ucun: Investigation of effect on lateral displacement and forces of cutting mode in sawability of metal profile using cutting disc, T. Can. Soc. Mech. Eng. (36) 2012, pp. 37–4710.1139/tcsme-2012-0003Search in Google Scholar

19 M.Balazinski, J.Litwin, C.Fortin: Influence of the feed variation on tool wear when machining inconel-600, T. Can. Soc. Mech. Eng.17 (1993), pp. 659–66910.1139/tcsme-1993-0037Search in Google Scholar

20 B.Lela, D.Bajić, S.Jozić: Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling, Int. J. Adv. Manuf. Technol.42 (2009), pp. 108–1088 DOI:10.1007/s00170-008-1678-zSearch in Google Scholar

21 A.Kohli, U. S.Dixit: A neural-network-based methodology for the prediction of surface roughness in a turning process, Int. J. Adv. Manuf. Technol.25 (2004), pp. 118–129 DOI:10.1007/s00170-003-1810-zSearch in Google Scholar

22 S.Ozturk: Slip-line modeling of machining and determine the influence of rake angle on the cutting force, T. Can. Soc. Mech. Eng.36 (2012), pp. 23–3510.1139/tcsme-2012-0002Search in Google Scholar

23 S.Ozturk, E.Altan: Slip-line metal cutting model with negative rake angle, J. Braz. Soc. Mech. Sci.34 (2012), pp. 246–25210.1590/S1678-58782012000300004Search in Google Scholar

24 S.Ozturk, E.Altan: A slip-line approach to the machining with rounded edge tool, Int. J. Adv. Manuf. Technol.36 (2012), pp. 513–522 DOI:10.1007/s00170-012-3941-6Search in Google Scholar

25 F. Z.Fang and G. X.Zhang: An experimental study of edge radius effect on cutting single crystal silicon, Int. J. Adv. Manuf. Technol.22 (2003), pp. 703–707 DOI:10.1007/s00170-003-1593-2Search in Google Scholar