Abstract
In this study, the machinability of Stellite-6 coating material was examined. For this purpose, Stellite-6 coating materials and two different types of cutting tool materials (ceramics and tungsten carbide) were used. The performance of the tool materials in the turning operation was analyzed. Two materials were compared in terms of surface roughness in different cutting speeds and feed rates. Taguchi method was used for the analysis of relationship between the surface quality and the cutting parameters. The estimated values were very close to the results of the experimental tests. Experimental and analysis results showed that whisker-reinforced ceramic insert was more suitable than tungsten carbide cutting tool for the machining of Stellite-6 coating material in terms of surface roughness. The objective of this study is to determine the ideal conditions and optimum machinability parameters for Stellite-6 coating material and to explore the appropriate cutting tool.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Elanayar S., Shin Y.C.: Modeling of tool forces for worn tools: flank wear effects. J. Manuf. Sci. Eng. 118, 359–366 (1996)
Gabaldo S., Diniz A.E., Andrade C.L.F., Guesser W.L.: Performance of carbide and ceramic tools in the milling of compact graphite iron—CGI. J. Br. Soc. Mech. Sci. Eng. 32(5), 511–517 (2010)
Agarwal S.C., Ocken H.: The microstructure and galling wear of a laser-melted cobalt-base hardfacing alloy. Wear 140, 223–233 (1990)
Aykut S., Demetgul M., Tansel I.N.: Selection of optimum cutting condition of cobalt based alloy with GONN. J. Adv. Manuf. 46, 957–967 (2010)
Crook, P.: Properties and selection: non-ferrous alloys and special-purpose materials. Metals Handbook vol 2, 10 edn. ASM International (1993)
Kuzucu V., Ceylan M., Celik H., Celik H.: Microstructure and phase analyses of Stellite plus 6 wt.% Mo alloy. J. Mater. Process. Technol. 69, 257–263 (1997)
Ozturk S.: Slip-Line modeling of machining and determine the influence of rake angle on the cutting force. Trans. Can. Soc. Mech. Eng 36, 23–35 (2012b)
Ozturk S., Altan E.: Slip-line metal cutting model with negative rake angle. J. Braz. Soc. Mech. Sci. 34, 246–252 (2012a)
Ozturk S., Altan E.: A slip-line approach to the machining with rounded-edge tool. Int. J. Adv. Manuf. Technol. 36, 513–522 (2012)
Grzesik W.: A revised model for predicting surface roughness in turning. Wear 194, 143–148 (1996)
Lin S.C., 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. Tool Manuf. 38, 763–782 (1998)
Chen C.-C.A., Liu W.-C., Duffie N.A.: A surface topography model for automated surface finishing. Int. J. Mach. Tool Manuf. 38, 543–550 (1998)
Ghani A.K., Choudhury I.A.: Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool. J. Mater. Process. Technol. 127, 17–22 (2002)
Diniz A.E., Filho J.C.: Influence of the relative positions of tool and workpiece on tool life. tool wear and surface finish in the face milling process. Wear 232, 67–75 (1999)
Abouelatta O.B., Madl J.: Surface roughness prediction based on cutting parameters and tool vibrations in turning operations. J. Mater. Process. Technol. 118, 269–277 (2001)
Benardos P.G., Vosniakos G.C.: Predicting surface roughness in machining: a review. Int. J. Mach. Tool. Manuf. 43, 833–844 (2003)
Oktem H., Erzurumlu T., Erzincanli F.: Prediction of minimum surface roughness in end milling mold parts usingneural network and genetic algorithm. Mater. Des. 27, 735–744 (2006)
Chang C.K., Lu H.S.: Study on the prediction model of surface roughness for side milling operations. Int. J. Adv. Manuf. Technol. 29, 867–878 (2006)
Brandt G., Gerendas A., Mikus M.: Wear mechanisms of ceramic cutting tools when machining ferrous and non-ferrous allays. J. Eur. Ceram. Soc. 6(5), 273–290 (1990)
North B.: Ceramic cutting tools. SME Technical Paper MR86-451, SME, Deaborn (1986)
Rivero A., Aramendi G., Herranz S., Lópezde Lacalle L.N.: An experimental investigation of the effect of coatings and cutting parameters on the dry drilling performance of aluminium alloys. Int. J. Adv. Manuf. Technol. 28(1–2), 1–11 (2006)
: Predicting surface roughness of hardened AISI 1040 based on cutting parameters using neural networks and multiple regression. Int. J. Adv. Manuf. Technol. 63, 249–257 (2012)
Lela B., Bajić D., Jozić S.: Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling. Int. J. Adv. Manuf. Technol. 42, 1082–1088 (2008)
Kohli A., Dixit U.S.: A neural-network-based methodology for the prediction of surface roughness in a turning process. Int. J. Adv. Manuf. Technol. 25, 118–129 (2004)
Lu C., Ma N., Chen Z., Costes J.-P.: Pre-evaluation on surface profile in turning process based on cutting parameters. Int. J. Adv. Manuf. Technol. 49, 447–458 (2010)
Fernández-Abia A.I., Barreiro J., Lópezde Lacalle L.N., Martínez S.: Effect of very high cutting speeds on shearing, cutting forces and roughness in dry turning of austenitic stainless steels. Int. J. Adv. Manuf. Technol. 57, 61–71 (2011)
Pinar A.M.: Optimization of Process Parameters with Minimum Surface Roughness in the Pocket Machining of AA5083 Aluminum Alloy via Taguchi Method. Arab. J. Sci. Eng. 38, 705–714 (2013)
Thakur, A.G.; Nandedkar, V. M.: Optimization of the resistance spot welding process of galvanized steel sheet using the Taguchi method. Arab. J. Sci. Eng. (2013). doi:10.1007/s13369-013-0634-x
Garg S.K., Manna A., Jain A.: An experimental investigation for optimization of WEDM parameters during machining of fabricated Al/ZrO2 (p)-MMC. Arab. J. Sci. Eng. 38, 3471–3483 (2013)
Çakıroğlu R., Acır A.: Optimization of cutting parameters on drill bit temperature in drilling by Taguchi method. Measurement 46(9), 3525–3531 (2013)
Mannaa, A.; Bhattacharya, B.: A study on machinability of Al/SiC-MMC. J. Mater. Process. Technol. 140, 711–716 (2003)
Palanikumar K., Karthikeyan R.: Assessment of factors influencing surface roughness on the machining of Al/SiC particulate composites. Mater. Des. 28, 1584–1591 (2007)
Zhang J.Z., Chen J.C., Kirby E.D.: Surface roughness optimization in an end-milling operation using the Taguchi design method. J. Mater. Process. Technol. 184, 233–239 (2007)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ozturk, S. Machinability of Stellite-6 Coatings with Ceramic Inserts and Tungsten Carbide Tools. Arab J Sci Eng 39, 7375–7383 (2014). https://doi.org/10.1007/s13369-014-1343-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13369-014-1343-9