Abstract
This paper presents the optimization of the face milling process of 7075 aluminum alloy by using the gray relational analysis for both cooling techniques of conventional cooling and minimum quantity lubrication (MQL), considering the performance characteristics such as surface roughness and material removal rate. Experiments were performed under different cutting conditions, such as spindle speed, feed rate, cooling technique, and cutting tool material. The cutting fluid in MQL machining was supplied to the interface of work piece and cutting tool as pulverize. An orthogonal array was used for the experimental design. Optimum machining parameters were determined by the gray relational grade obtained from the gray relational analysis.
Similar content being viewed by others
References
Tosun N (2006) Determination of optimum parameters for multi performance characteristics in drilling by using grey relational analysis. Int J Adv Manuf Technol 28(5–6):450–455. doi:10.1007/s00170-004-2386-y
Dhar NR, Kamruzzaman M, Ahmed M (2006) Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. J Mater Process Technol 172:299–304. doi:10.1016/j.jmatprotec.2005.09.022
Taylor FW (1907) On the art of cutting metals. Trans ASME 28:31–58
Bhattacharyya A, Faria-Gonzalez R, Ham I (1970) Regression analysis for predicting surface finish and its application in the determination of optimum machining conditions. J Eng Ind 92(3):711–714
Ermer DS (1971) Optimization of the constrained machining economics problem by geometric programming. J Eng Ind 93:1067–1072
Davim JP, Antonio CAC (2001) Optimal drilling of particulate metal matrix composites based on experimental and numerical procedures. Int J Mach Tools Manuf 41(1):21–31. doi:10.1016/S0890-6955(00)00071-7
Tosun N, Cogun C, Tosun G (2004) A study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method. J Mater Process Technol 152:316–322. doi:10.1016/j.jmatprotec.2004.04.373
Iqbal A, Ning H, Khan I, Liang L, Dar NU (2008) Modeling the effects of cutting parameters in MQL-employed finish hard-milling process using D-optimal method. J Mater Process Technol 199(1–3):379–390. doi:10.1016/j.jmatprotec.2007.08.029
Klocke F, Eisenblatter G (1997) Dry cutting. Ann CIRP 46(2):519–526. doi:10.1016/S0007-8506(07)60877-4
De Lacalle LNL, Lamikiz A, Sanchez JA, Cabanes I (2001) Cutting conditions and tool optimization in the high-speed milling of aluminium alloys. Proc IMechE Part B 215:1257–1269. doi:10.1243/0954405011519312
Rahman M, Kumar SA, Salam MU (2002) Experimental evaluation on the effect of minimal quantities of lubricant in milling. Int J Mach Tools Manuf 42:539–547. doi:10.1016/S0890-6955(01)00160-2
Itoigawa F, Childs THC, Nakamura T, Belluco W (2006) Effects and mechanisms in minimal quantity lubrication machining of an aluminum alloy. Wear 260:339–344. doi:10.1016/j.wear.2005.03.035
Braga DU, Diniz AE, Miranda GWA, Coppini NL (2002) Using a minimum quantity of lubricant (MQL) and a diamond coated tool in the drilling of aluminum–silicon alloys. J Mater Process Technol 122:127–138. doi:10.1016/S0924-0136(01)01249-3
Bruni C, Forcellese A, Gabrielli F, Simoncini M (2006) Effect of the lubrication-cooling technique, insert technology and machine bed material on the workpart surface finish and tool wear in finish turning of AISI 420B. Int J Mach Tools Manuf 46:1547–1554. doi:10.1016/j.ijmachtools.2005.09.007
Dhar NR, Ahmed MT, Islam S (2007) An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel. Int J Mach Tools Manuf 47:748–753. doi:10.1016/j.ijmachtools.2006.09.017
Wakabayashi T, Suda S, Inasaki I, Terasaka K, Musha Y, Toda Y (2007) Tribological action and cutting performance of MQL media in machining of aluminum. Ann CIRP 56(1):97–100. doi:10.1016/j.cirp.2007.05.025
Fielding Z (2004) Minimum quantity lubrication. www.ferret.com.au
Da Silva LR, Bianchi EC, Fusse RY, Catai RE, França TV, Aguiar PR (2007) Analysis of surface integrity for minimum quantity lubricant-MQL in grinding. Int J Mach Tools Manuf 47(2):412–418. doi:10.1016/j.ijmachtools.2006.03.015
Chua MS, Rahman M, Wong YS, Loh HT (1993) Determination of optimal cutting conditions using design of experiments and optimization techniques. Int J Mach Tools Manuf 33(2):297–305. doi:10.1016/0890-6955(93)90081-5
Lin TR (2002) Optimization technique for face milling stainless steel with multiple performance characteristics. Int J Adv Manuf Technol 19:330–335. doi:10.1007/s001700200021
Lee SH, Lee SH (2003) Optimization of cutting parameters for burr minimization in face-milling operations. Int J Prod Res 41(3):497–511. doi:10.1080/0020754021000042382
Ross PJ (1996) Taquchi techniques for quality engineering, 3rd edn. McGraw-Hill, New York
Lin ZC, Ho CY (2003) Analysis and application of grey relation and ANOVA in chemical–mechanical polishing process parameters. Int J Adv Manuf Technol 21:10–14. doi:10.1007/s001700300001
Fung CP (2003) Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear 254:298–306. doi:10.1016/S0043-1648(03)00013-9
Lo SP (2002) The application of an ANFIS and grey system method in turning tool-failure detection. Int J Adv Manuf Technol 19:564–572. doi:10.1007/s001700200061
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Tosun, N., Pihtili, H. Gray relational analysis of performance characteristics in MQL milling of 7075 Al alloy. Int J Adv Manuf Technol 46, 509–515 (2010). https://doi.org/10.1007/s00170-009-2118-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-009-2118-4