Prediction of surface roughness in abrasive waterjet machining of particle reinforced MMCs using genetic expression programming

International Journal of Advanced Manufacturing Technology

Volumn 55, Issue 9-12, 2011, Pages 955-968

  Kök, Metin ^a   Kanca, Erdogan ^b   Eyercioǧlu, Ömer ^c  

^a KAHRAMANMARAS SUTCU IMAM UNIVERSITY   (Turkey)

^b MUSTAFA KEMAL UNIVERSITY   (Turkey)

^c GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Abrasive water jet machining; Genetic expression programming; Metal matrix composites; Modeling; Surface roughness

Indexed keywords

7075 AL ALLOY; ABRASIVE WATER JET; ABRASIVE WATER JET MACHINING; ARITHMETIC MEAN; BEST MODEL; CONVENTIONAL MACHINING; DEPTH OF CUT; GENETIC EXPRESSIONS; INPUT VARIABLES; MACHINING COSTS; MACHINING TEST; METAL MATRIX COMPOSITES; MODEL VARIABLES; OUTPUT VARIABLES; PARTICLE REINFORCED; PREDICTIVE MODELS; PROFILE HEIGHTS; REINFORCEMENT PARTICLES; TEST RESULTS; TESTING DATA; TOOL WEAR; TRAINING AND TESTING; TRAINING DATA SETS; WEIGHT FRACTIONS;

ABRASIVES; GENETIC PROGRAMMING; JETS; MACHINING; METALLIC MATRIX COMPOSITES; PARTICLE REINFORCED COMPOSITES; REINFORCEMENT; STATISTICAL TESTS; SURFACE PROPERTIES; SURFACES;

SURFACE ROUGHNESS;

EID: 79961031997     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-010-3122-4     Document Type: Article

References (37)

1. F Müller J Monaghan 2000 Non-conventional machining of particle reinforced metal matrix composites Int J Mach Tool Manuf 40 1351 1366 10.1016/S0890-6955(99)00121-2 (Pubitemid 30592192)
2. A Manna B Bhattacharayya 2003 A study on machinability of Al/SiC-MMC J Mater Process Technol 140 711 716 10.1016/S0924-0136(03)00905-1
3. S Kannan HA Kishawy IM Deiab MK Surappa 2006 On the role of reinforcements on tool performance during cutting of metal matrix composites J Manuf Process 8 2 67 75 10.1016/S1526-6125(07)00006-0 (Pubitemid 47116105)
4. Brazil D, Monaghan J, Aspinwall DK, Ng EG (1997) Wear characterization of various diamond tooling when single point turning a particle reinforced metal matrix composite. Proc. of the IMC-14 Conf, Dublin, Ireland, pp. 143-152
5. K Weinert 1993 A consideration of tool wear mechanism when machining metal matrix composites (MIMC) Ann CIRP 42 1 95 98 10.1016/S0007-8506(07)62400-7 (Pubitemid 23679080)
6. NP Hung LJ Yang KW Leong 1994 Electro discharge machining of cast metal matrix composites J Mater Process Technol 44 229 236 10.1016/0924-0136(94)90435- 9
7. T Le Roux MLH Wise DK Aspinwall 1993 The effect of electro discharge machining on the surface integrity of an aluminium-silicon carbide metal matrix composite J Pro Adv Mater 3 233 241
8. Müller F, Monaghan J (1998) Electro discharge machining of a particle reinforced metal matrix composite. Proc of the 12th Int Sym for Electro Machining (ISEM XII), VDI-Berichte 1405, Aachen, pp. 513-522
9. WS Lau WB Lee SQ Pang 1990 Pulsed ND: YAG laser cutting of carbon fiber composite materials Ann CIRP 39 1 179 182 10.1016/S0007-8506(07)61030-0
10. Müller F, Monaghan J (1998) Laser cutting of particle reinforced metal matrix composites. Proc 6th SheMet Conf, Twente, Netherlands, pp. 93-101
11. G Hamatani M Ramulu 1990 Machinability of high temperature composite by abrasive waterjet ASME J Eng Mat Tech 122 381 386 10.1115/1.2903346
12. DK Shanmugam FL Chen E Siores M Brandt 2002 Comparative study of jetting machining technologies over laser machining technology for cutting composite materials J Compos Struct 57 289 296 10.1016/S0263-8223(02)00096-X
13. PJ Parikh SS Lam 2009 Parameter estimation for abrasive water jet machining process using neural networks Int J Adv Manuf Technol 40 497 502 10.1007/s00170-007-1363-7
14. Momber AW, Kovacevic R (1998) Principles of abrasive waterjet machining. Springer, London
15. M Hashish 1991 Optimization factors in abrasive waterjet machining Transact ASME J Eng Ind 113 29 37
16. JJR Jegaraj NR Babu 2005 A strategy for efficient and quality cutting of materials with abrasive waterjets considering the variation in orifice and focusing nozzle diameter Int J Mach Tool Manuf 45 1443 1450 10.1016/j. ijmachtools.2005.01.020 (Pubitemid 40821893)
17. MK Babu OVK Chetty 2006 A study on the use of single mesh size abrasives in abrasive waterjet machining Int J Adv Manuf Technol 29 532 540 10.1007/BF02729106 (Pubitemid 44000991)
18. A Akkurt MK Kulekci U Seker F Ercan 2004 Effect of feed rate on surface roughness in abrasive waterjet cutting applications J Mater Process Technol 147 389 396 10.1016/j.jmatprotec.2004.01.013
19. A Hascalik U Çaydaş H Gürün 2007 Effect of traverse speed on abrasive waterjet machining of Ti-6Al-4V alloy Mater Des 28 1953 1957 10.1016/j.matdes.2006.04.020 (Pubitemid 46825282)
20. U Çaydaş A HasçalIk 2008 A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method J Mater Process Technol 202 574 582 10.1016/j.jmatprotec.2007.10.024 (Pubitemid 351615588)
21. M Hashish 1984 A modeling study of metal cutting with abrasive waterjets J Eng Mater Technol 106 88 100 10.1115/1.3225682 (Pubitemid 14531338)
22. Arola D, Ramulu M (1993) Mechanism of material removal in abrasive waterjet machining of common aerospace materials. In: Proceedings of the seventh American waterjet conference, Seattle (WA), pp. 43-64
23. Blickwedel H, Guo NS, Haferkamp H, Louis H (1991) Prediction of abrasive jet cutting performance and quality. Jet Cutting Technol 163-179
24. DK Shanmugam SH Masood 2009 An investigation on kerf characteristics in abrasive waterjet cutting of layered composites J Mater Process Technol 209 3887 3893 10.1016/j.jmatprotec.2008.09.001
25. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. MIT, Cambridge
26. JV Davidson DA Savic GA Walters 2003 Symbolic and numerical regression: experiments and application Inf Sci 150 1/2 95 117 10.1016/S0020-0255(02)00371-7
27. CS Ong JJ Huang GH Tzeng 2005 Expert Syst Appl 29 1 41 47 10.1016/j.eswa.2005.01.003 (Pubitemid 40454391)
28. AF Asbour LF Alvarez VV Toropov 2003 Comput Struct 81 5 331 338 10.1016/S0045-7949(02)00437-6
29. C Ferreira 2001 Compl Syst 13 2 87 129 1167.92329
30. Ferreira C (2001) Gene Expression Programming in Problem Solving. In: Invited Tutorial of the 6th Online World Conference on Soft Computing in Industrial Applications, pp. 10-24
31. Ferreira C (2002) Gene expression programming: mathematical modelling by an artificial intelligence
32. 3 particle-reinforced 2024 aluminium alloy composites J Mater Process Technol 161 381 387 10.1016/j.jmatprotec.2004.07.068 (Pubitemid 40475253)
33. 3 particle-reinforced aluminium alloy composites J Mater Process Technol 128 280 291 10.1016/S0924-0136(02)00467-3
34. M Eskil E Kanca 2008 A new formulation for martensite start temperature of Fe-Mn-Sishape memory alloys using genetic programming Comput Mater Sci 43 774 784 10.1016/j.commatsci.2008.01.042
35. A Baykasoglu A Oztas E Ozbay 2009 Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches Expert Syst Appl 36 3 6145 6155 10.1016/j.eswa.2008.07.017 April Part 2
36. O Eyercioglu E Kanca M Pala E Ozbay 2008 Prediction of martensite and austenite start temperatures of the Fe-based shape memory alloys by artifical neural networks J Mater Process Technol 200 146 152 10.1016/j.jmatprotec.2007. 09.085
37. E Kanca M Eskil 2009 Comparison of new formulations for Martensite start temperature of Fe-Mn-Si shape memory alloys using geneting programming and neural networks Comp, Mater Cont 270 1 1 31