Abstract
Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance characteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the turning process parameters for the workpiece surface roughness and the chip thickness is introduced. Various turning parameters, such as cutting speed, feed rate, tool nose radius, and concentration of solid–liquid lubricants (minimum-quantity lubricant) were considered. A factorial design with eight added center points was used for the experimental design. Optimal machining parameters were determined by the grey relational grade obtained from the grey relational analysis for multi-performance characteristics (the surface roughness and the chip thickness). The results of confirmation experiments reveal that grey relational analysis coupled with factorial design can effectively be used to obtain the optimal combination of turning parameters. Experimental results have shown that the surface roughness and the chip thickness in the turning process can be improved effectively through the new approach. The minimum surface roughness and smallest chip thickness are 9.83 and 0.32 mm, respectively, obtained at optimal conditions of cutting speed, 1,200 rpm; feed rate, 0.06 mm/rev; nose radius, 0.8 mm; and concentration of solid–liquid lubricant (10% boric acid + SAE-40 base oil).
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References
Kalpakjain S, Chmid S (2000) Manufacturing engineering and technology, int fourth edition. Prentice Hall, New Jersey, pp 536–681
Shaw MC (1984) Metal cutting principle. Oxford University Press, New York
Yang WH, Tarng YS (1998) Design optimization of cutting parameters for turning operations based on the Taguchi method. J Mater Process Technol 84:122–129
Kopc J, Bahor M, Sokovic M (2002) Optimal machining parameters for achieving the desired surface roughness in fine turning of cold preformed steel workpiece. Int J Mach Tool Manuf 42:707–716
Taylor FW (1907) On the art of cutting metals. Trans ASME 28:331–350
Trang YS, Yang WH, Jung SC (2000) The use of fuzzy logic in the Taguchi method for the optimization of the submerged arc welding process. Int J Adv Manuf Technol 16:688–694
Bhattacharyya A, Faria-Gonzalez R, Ham I (1970) Regression analysis for predicting surface finish and its application in the determination of optimum machining conditions. ASME J Eng Ind 92(3):711–714
Suresh PV, Rao V, Deshmukh SG (2002) A genetic algorithmic approach for optimization of surface roughness prediction model. Int J Mach Manuf 42:675–680
Abhang LB, Hameedullah M (2010) Optimization of tool geometry and machining conditions for alloy steel turning. Proc Int Conf Adv Mech Eng. January 4–6-2010, SVNIT SURAT
Tosun N (2006) Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int J Adv Manuf Technol 28:450–455
Lin TR (2002) Cutting behavior of a tin-coated carbide drill with curved cutting edges during the high-speed machining of stainless steel. J Mater Process Technol 127:8–16
Kao PS, Hocheng H (2003) Optimization of electrochemical polishing of stainless steel by grey relational analysis. J Mater Process Technol 140:255–262
Abhang LB, Hameedullah M (2009) Control of chip-tool interface temperature for improved productivity through a new lubricating technique. All India Semi Ergono Improv Product EIP-09:437–443
Edmir A (1991) Tribological process of boric acid and boric acid forming surfaces, part 1 crystal chemistry and mechanism of self lubrication of boric acid. Lubr Eng 47:168–178
Liang H, Jahanmir S (1995) Boric acid as additive for core drilling of alumina. J Tribol 117:65–71
Shaji S, Radhakrishnan V (2003) An investigation on solid lubricant molded grinding wheels. Int J Mach Manuf 43:965–972
Reddy SK, Rao PV (2006) Experimental investigation to study the effect of solid lubricants on cutting force and surface quality in end milling. Int J Mach Manuf 46:189–198
Deshmukh SD, Basu SK (2006) Significance of solid lubricants in metal cutting. 22nd AIMTDR 210–216
Reddy NS, Rao PV (2005) Performance improvement of end milling using graphite as a solid lubricant. Mater Manuf Process 20:1–14
Ingole MW, Bhendwar AS (2002) Parametric analysis of ball burnishing—a potential metal finishing process. J Inst Eng 83(I):69–71
Venugopal A, Rao PV (2004) Performance improvement of grinding of SiC using graphite as a solid lubricant. Mater Manuf Process 19(2):177–186
Shirsat UM, Ahuja BB (2004) Parametric analysis of combined turning and ball burnishing process. Ind J Eng Mater Sci 11:391–396
Deng J (1982) Control problems of grey systems. Syst Control Lett 5:288–294
Wang ZL, Zhu JH, Wu (1996) Grey relational analysis of correlation of errors in measurement. J Grey Syst 8(1):73–78
Palanikumar K, Karthikeyan R (2007) Optimal machining conditions for turning of particulate metal matrix composites using Taguchi and response surface methodology. Mach Sci Technol 10:417–433
Lin CL (2004) Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Mater Manuf Process 19:209–220
Choudhury IA, Bardie EI (1997) Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J Mater Process Technol 67:55–61
Lin CL, Lin JL, KO TC (2007) Optimization of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int J Adv Manuf Technol 19:271–277
Brahmankar PK, Patil NG, Navale LG (2009) Response surface modeling and optimization of EDM of AL/Al2O3. Proc of IMECE 2009, ASME Nov.13–17 Florida USA
Montgomery DC (2005) Design and analysis of experiments, 3rd edn. Wiley, New York, pp 521–568
Deng JL (1989) Introduction to grey system theory. J Grey Syst 1:1–24
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
Fung CP (2003) Manufacturing process optimization for wear property of fiber—reinforced polybutylene composites with grey relational analysis. Wear 254:298–306
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Abhang, L.B., Hameedullah, M. Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis. Int J Adv Manuf Technol 63, 13–24 (2012). https://doi.org/10.1007/s00170-011-3857-6
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DOI: https://doi.org/10.1007/s00170-011-3857-6