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189

REFERENCES

1. Akhanazarova, S. and Kafarov, V. (1982), “Experiment optimization in chemistry and

chemical engineering”, Mir Publishers, Moscow.

2. Aggarwal, A., Singh H., Kumar, P. and Singh, M. (2008), “Modelling of machining

parameters and cooling conditions in hard turning of AISI P-20 tool steel using

response surface methodology and desirability graphs”, International Journal of

Machining & Machinability of Materials, 4(1), 95-110.

3. Box, G.E.P., and Hunter, J.S. (1957), “Multifactor experimental design”, J. Ann. Math.

Statistics, 28.

4. Barker, T.B. (1986), “Quality engineering by design: Taguchi‟s Philosophy”, Quality

Progress, December, 33-42.

5. Benedict, G.F. (1987), “Electrical discharge machining (EDM), non traditional

manufacturing process”, Marcel Dekker, Inc, New York & Basel, 231-232.

6. Byrne, D.M. and Taguchi, S. (1987), “The Taguchi approach to parameter design”,

Quality Progress, 19-26.

7. Barker, T.B. (1990), “Engineering quality by design”, Marcel Dekker, Inc., New York.

8. Cochran, G., and Cox, G.M. (1962), “Experimental design”, Asia Publishing House,

New Delhi.

9. Chiang, K.T., Chang, F.P. (2006), “Optimization of the WEDM process of particle-

reinforced material with multiple performance characteristics using grey relational

analysis”, Journal of Materials Processing Technology, 180, 96-101.

10. Choi, K.K., Nam, W.J., Lee, Y.S. (2008), “Effects of heat treatment on the surface of a

die steel STD11 machined by W-EDM, Journal of Material Processing Technology,

201, 580-584.

11. Cabanes, I., Portillo, E., Marcos, M., Sanchez, J.A. (2008), “On-line prevention of wire

breakage in wire electro-discharge machining”, Robotics and Computer Integrated

Manufacturing, 24, 287-298.

190

12. Chiang, K.T., Tsai, D.C. (2008), “Effect of silicon particles on the rapidly resolidified

layer of Al-Si alloy in electrodischarge machining process”, International journal of

Advance Manufacturing Technology, 36: 707-714.

13. Chiang, Y.M., Hsieh, H.H. (2009), “The use of the Taguchi method with grey relational

analysis to optimize the thin film sputtering process with multiple quality

characteristics in color filter manufacturing”, Computer and Industrial Engineering, 56,

648-661.

14. Çaydaş, U., Hasçalik, A., Ekici, S. (2009), “An adaptive neuro-fuzzy inference system

(ANFIS) model for wire-EDM”, Expert Systems and Applications, 36, 6135-6139.

15. Crosby, P.B. (1980), “Quality is free”, McGraw-Hill, New York.

16. Deringer, G. and Suich, R. (1980), “Simultaneous optimization of several response

variables”, Journal of Quality Technology, 12, 214-219.

17. Derek, W. Bunn (1982), “Analysis for optimal decisions”, John Wiley and Sons, New

York.

18. Deng, J. (1982), “Control problems of grey system”, System and Control Letters 5,

288-294.

19. Deng, J. (1989), “Introduction to grey system”, Journal of Grey System, 1(1), 1-24.

20. Deo, N. (2000), “Graph theory with application to Engineering and Computer Science”,

New Delhi: Prentice Hall.

21. Dabbas, R.M., Flower, J.W., Rollier, D.A., Mccarville, D. (2003), “Multiple response

optimization using mixture designed experiments and desirability functions in

semiconductor scheduling”, International Journal of Production Research, 41(5), 939-

961.

22. Electronica Machine Tools Ltd., “Technology manual for Wire cut Edm-Elektra

Sprintcut 734”, 1-2.

23. Fung, C.-P., Kang, P.-C. (2005), “Multi-response optimization in friction properties of

PBT composites using Taguchi method and principle component analysis”, Journal of

Material Processing Technolology, 170, 602-610.

191

24. Gupta, V. and Murthy, P.N. (1980), “An introduction to engineering design method”,

Tata McGraw-Hill, New Delhi.

25. Gandhi, O.P., Agrawal, V.P. (1992), “FMEA- A Digraph and matrix approach”,

Reliability Engineering and System Safety, 35, 147-158.

26. Gandhi, O.P., Agrawal, V.P. (1994), “A digraph approach to system wear evaluation

and analysis”, Transact. ASME, 116, 268-274.

27. Grover, S., Agarwal, V.P., Khan, I.A. (2004), “A Digraph Approach to TQM

Evaluation in an Industry”, International Journal of Production Research, 42(19), 4031-

4053.

28. Grover, S., Agrawal, V.P., Khan, I.A. (2006), “Role of Human Factors in TQM: a

Graph Theoretic Approach”, Bench Marking: An International Journal; 13(4), 447-468.

29. Gauri, S.K. and Chakraborty, S. (2009), “Multi-response optimization of WEDM

process using principal component analysis”, International Journal of Advanced

Manufacturing Technology, 41, 741-748.

30. Garg, R.K., Singh, K.K. et al. (2010), “Review of research work in sinking EDM and

WEDM on metal matrix composite materials”, International Journal of Advanced


31. Huang, J.T., Liao, Y.S., Hsue, W.J. (1999), “Determination of finish-cutting operation

number and machining parameter setting in wire electrical discharge machining”,

Journal of Materials Processing Technology, 87, 69–81.

32. Huang, J. T.; Liao, Y. S. (2003), “Optimization of machining parameters of Wire-EDM

based on Grey relational and statistical analyses”, International Journal of Production

Research, 41(8), 1707-1720.

33. Ho, K.H., Newman, S.T. (2003), “State of the art in electrical discharge machining

(EDM)”, International Journal of Machine Tools & Manufacture, 43, 1287–1300.

34. Ho, K.H., Newman, S.T., Rahimifard, S., Allen, R.D. (2004), “State of art in wire

electrical discharge machining (WEDM)”, International Journal of Machine Tools and

Manufacture, 44, 1247-1259.

192

35. Huang, C.A., Hsu, F.Y., Yao, S.J. (2004), “Microstructure analysis of the martensitic

stainless steel surface fine-cut by the wire electrode discharge machining (WEDM)”,

Materials Science and Engineering, 371, 119–126

36. Hewidy, M.S., El-Taweel, T.A, El-Safty, M.F. (2005), “Modeling the machining

parameters of wire electrical discharge machining of Inconel 601 using RSM”, Journal

of Materials Processing Technology, 169, 328–336.

37. Hargrove, S. K., Ding, D. (2007), “Determining cutting parameters in wire EDM based

on workpiece surface temperature distribution”, International Journal of Advanced


38. Herrero, A., Azcarate, S., Rees, A., Gehringer, A., Schoth, A. and Sanchez J.A. (2008),

“Influence of Force Components on Thin Wire EDM. Multi-Material Micro

Manufacture”, Cardiff University, Cardiff, UK.

39. Hsiao, Y.F.; Tarang, Y.S.; Huang, W.J. (2008), “Optimization of Plasma Arc Welding

Parameters by Using the Taguchi Method with the Grey Relational Analysis”,

Materials and Manufacturing Processes, 23(1), 51-58.

40. Jahan, M.P., Rahman, M., Wong, Y.S. (2010), “Modelling and experimental

investigation on the effect of nanopowder-mixed dielectric in micro-electrodischarge

machining of tungsten carbide”. Proceeding of the institution of Mechanical

Engineering, Part B: Journal of Engineering Manufacture, 224, 1725.

41. Jangra, K., Grover, S., Aggarwal, A. (2011), “Digraph and matrix method for the

performance evaluation of carbide compacting die manufactured by wire EDM”,

International Journal of Advance Manufacturing Technology, 54 (5-8), 579-591.

42. Kim, C.H., Kruth, J.P. (2001), “Influence of electrical conductivity of dielectrical fluid

on WEDM of sintered carbide”, KSME International Journal, 15(12), 1276-1282.

43. Kim, H.C., Shon, I.J., Munir, Z.A. (2005), “Rapid sintering of ultra-fine WC-10% Co

by high-frequency induction heating”, Journal of Material Science, 40, 2849-2854.

44. Kuriakose, S., Shunmugam, M.S. (2005), “Multi-objective optimization of wire-electro

discharge machining process by non-dominated sorting genetic algorithm”, Journal of

Materials Processing Technology, 170,133-141.

193

45. Kulkarni, S. (2005), “Graph theory and matrix approach for performance evaluation of

TQM in Indian industries”, The TQM magazine; 17(6), 509-526.

46. Kanagarajan, D., Karthikeyan, R., Palanikumar, K., Paulo, Davim, J. (2008),

“Optimization of electrical discharge machining characteristics of WC/Co composites

uing non-dominated sorting genetic algorithm (NSGA-II)”, International Journal of

Advance Manufacturing Technology, DOI: 10.1007/s00170-006-0921-8.

47. Kanlayasiria, K., Boonmung, S. (2007), “Effects of wire-EDM machining variables on

surface roughness of newly developed DC 53 die steel: design of experiments and

regression model”, Journal of Materials Processing Technology, 192-193, 459-464.

48. Kumar, A., Maheshwari, S., Sharma, C., Beri, N. (2010), “Research Developments in

Additives Mixed Electrical Discharge Machining (AEDM): A State of Art Review”,

Materials and Manufacturing Processes, 25(10), 1166-1180.

49. Kondaya, D., Krishna, A.G. (2011), “An integrated evolutionary approach for

modelling and optimization of wire electrical discharge machining”, Proceedings of the

Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225,

549-567.

50. Levy, G.N., Wertheim, R. (1988), “EDM-Machining of Sintered Carbide Compacting

Dies”, Annals of the CIRP, 37(1), 175-178.

51. Liao, Y.S., Huang, J.T., Su, H.C. (1997), “A Study of machining-parameters

Optimization of wire electrical discharge machining”, Journal of Material Processing

Technology, 71 , 487-493.

52. Lin, C.T., Chung, I.F., Huang, S.Y. (2001), “Improvement of machining accuracy by

fuzzy logic at corner parts for wire-EDM”, Fuzzy Sets and Systems, 122, 499–511.

53. Lee, S.H., Li, X.P. (2001), “Study of the effect of machining parameters on the

machining characteristics in electrical discharge machining of tungsten carbide”,

Journal of Material Processing Technolology, 115, 344-358.

54. Lin, J.L.; Lin, C.L. (2002), “The use of the orthogonal array with grey relational

analysis to optimize the electrical discharge machining process with multiple

194

performance characteristics”, International Journal of Machine Tool & Manufacture, 42

(2), 237-244.

55. Liao, Y.S., Yan, M.T., Chang, C.C. (2002), “A neural network approach for the on-line

estimation of workpiece height in WEDM”, Journal of Materials Processing

Technology, 121, 252–258

56. Liu, K., Li, X.P., Rahman, M. (2003), “Characteristics of high speed micro cutting of

tungsten carbide”, Journal of Material Processing Technology, 140, 352-357.

57. Lin, C.L. (2003), “Use of the Taguchi Method and Grey Relational Analysis to

optimize Turning operations with Multiple Performance Characteristics”, Materials and

Manufacturing Processes, 19, 209-220.

58. Lee, S.H., Li, X.P. (2003), “Study of the surface integrity of the machined workpiece in

the EDM of tungsten carbide”, Journal of Material Processing Technology, 139, 315-

321.

59. Liao, Y.S. and Yu, Y.P. (2004), “The energy aspect of material property in WEDM and

its application”, Journal of Materials Processing Technology, 149, 77–82.

60. Liao, Y.S., Yub, Y.P. (2004), “Study of specific discharge energy in WEDM and its

application”, International Journal of Machine Tools & Manufacture, 44, 1373–1380.

61. Lin, J.L., Lin, C.L. (2005), “The use of grey-fuzzy logic for the optimization of the

manufacturing process”, Journal of Materials Processing Technology, 160, 9–14.

62. Lin, H.C., Lin, K.M., Chen, Y.S., Chu, C.L. (2005), “The wire electro-discharge

machining characteristics of Fe–30Mn–6Si and Fe–30Mn–6Si–5Cr shape memory

alloys”, Journal of Materials Processing Technology, 161, 435–439.

63. Lauwers, B., Liu, W., Eeraerts, W. (2006), “Influence of the composition of WC-based

cermets on manufacturability by wire-EDM”, Journal of Manufacturing process, 8(2),

83-89.

64. Lin, Y.C., Hwang, L.R., Cheng, C.H., Su, P.L. (2008), “Effects of electrical discharge

energy on machining performance and bending strength of cemented tungsten

carbides”, Journal of Material Processing Technology, 206, 491-499.

195

65. Li, C.H., Tsai, M.J. (2009), “Multi-objective optimization of laser cutting for flash

memory modules with special shapes using grey relational analysis”, Optics & Laser

Technology, 41, 634-642.

66. Lu, H.S., Chang, C.K., Hwang, N.C., Chung, C.T. (2009), “Grey relational analysis

coupled with principal component analysis for optimization design of the cutting

parameters in high-speed end milling”, Journal of Material Processing Technology,

209, 3808-3817.

67. Montgoomery, D.C. (1991), “Design and Analysis of Experiments”, 3rd

Edn., New

York: Wiley.

68. Myers, R.H., Montgomery, D.C. (1995), “Response Surface Methodology”, New York:

Wiley, chapter 11, pp. 535-561 and chapter 12, pp. 570-615.

69. Mohan, M., Gandhi, O.P., Agrawal, V.P. (2003), “Systems modelling of a coal-based

steam power plant”, Proceeding: Institution of Mechanical Engineers; 217, 259-276.

70. Miller, S. F., Shih, A. J., Qu, J. (2004). “Investigation of the spark cycle on material

removal rate in wire electrical discharge machining of advanced materials”,

International Journal of Machine Tools & Manufacture, 44, 391–400.

71. Mahdavinejad, R.A., Mahdavinejad, A. (2005), “ED machining of WC-Co”, Journal of

Material processing Technology, 162-163, 637-643.

72. Manna, A., Bhattacharyya, B. (2005), “Influence of machining parameters on the

machinability of particulate reinforced Al/SiC-MMC”, International Journal of

Advanced Manufacturing Technology, 25, 850-856.

73. Manna, A., Bhattacharyya, B. (2006), “Taguchi and Gauss elimination method: A dual

response approach for parametric optimization of CNC wire cut EDM of

PRAlSiCMMC”, International Journal of Advanced Manufacturing Technology, 28,

67–75.

74. Mahapatra, S.S. and Patnaik, A. (2007), “Optimization of wire electrical discharge

machining (WEDM) process parameters using Taguchi method”, International Journal

of Advanced Manufacturing Technology, 34, 911-925.

196

75. Narender, S. P., Raghukandan, K., Pai, B.C. (2004), “Optimization by grey relational

analysis of EDM parameters on machining Al-10% SiCp composite”, Journal of

Material Processing Technology, 155-156, 1658-1661.

76. Nath, C., Rahman, M., Neo, K.S. (2009), “A study on Ultrasonic elliptical vibration

cutting of tungsten carbide”, International Journal of Machine Tools & Manufacture,

49, 1089-1095.

77. Puri, A.B., Bhattacharyya, B. (2003), “An analysis and optimization of the geometrical

inaccuracy due to wire lag phenomenon in WEDM”, International Journal of Machine

Tools & Manufacture, 43, 151–159.

78. Peng, K.C. (1967), “The design and analysis of scientific experiments”, Addison-

Wesley Publishing Company, London.

79. Phadke, M.S. (1989), “Quality engineering using robust design”, Prentice-Hall, N.J.,

USA.

80. Peace, G.S. (1993), “Taguchi Methods: A hands on approach”, Addison Wesley, New

York.

81. Prohaszka, J., Mamalis, A.G., Vaxevanidis, N.M. (1997), “The effect of electrode

material on machinability in wire electro-discharge machining”, 69, 233-237.

82. Puertas, I., Luis, C.J., Alvarez, L. (2004), “Analysis of the influence of EDM

parameters on surface quality, MRR and EW of WC-Co”, Journal of Material

Processing Technology, 153-154, 1026-1032.

83. Puri, A.B., Bhattacharyya, B. (2005), “Modelling and analysis of white layer depth in a

wire-cut EDM process through response surface methodology”, International Journal of

Advance Manufacturing Technology, 25, 301-307.

84. Pan, L.K. Wang, C.C., Wei, S.L., Sher, H.F. (2007), “Optimizing multiple quality

characteristics via Taguchi method based grey relational analysis”, Journal of Material

Processing Technology, 182, 107-116.

85. Plaza, S., Ortega, N., Sanchez, A., Pombo, I. Mendikute, A. (2009), “Original models

for the prediction of angular error in wire-EDM taper cutting”, International Journal of

Advance manufacturing Technology, 44, (5-6), 529-538

197

86. Prasad, D.V.S.S.S., Krishna, A.G. (2009), “Empirical modelling and optimization of

wire electrical discharge machining”, International Journal of Advance Manufacturing

Technology, 43, 914-925

87. Poros, D., Zaborski, S. (2009), “Semi-empirical model of efficiency of wire electrical

discharge machining of hard to machine materials”, Journal of Material Processing

Technolology, 209, 1247-1253.

88. Patowari, P.K., Saha, P., Mishra, P.K. (2010), “Artificial neural network model in

surface modification by EDM using tungsten-copper powder metallurgy sintered

electrodes”, International Journal of Advance Manufacturing Technology, 51, 627-638.

89. Ross, P.J. (1988), “Taguchi techniques for quality engineering”, McGraw-Hill Book

Company, New York.

90. Roy, R.K. (1990), “A primer on Taguchi method”, Van Nostrand Reinhold, New York.

91. Ross, P.J. (1996), “Taguchi techniques for Quality Engineering”, McGraw-Hill Book

Company, New York.

92. Roy, R.K. (2001), “Design of Experiments Using the Taguchi approach” Canada John

Wiley & Sons.

93. Rao, R.V., Gandhi, O.P. (2002), “Digraph and Matrix methods for the machinability

evaluation of work materials”, International Journal of Machine Tools & Manufacture,

42, 321-330.

94. Rao, R.V., Gandhi, O.P. (2002), “Failure cause analysis of machine tools using digraph

and matrix methods”, International Journal of Machine Tools & Manufacture; 42,521-

528.

95. Ramakrishnan, R., Karunamoorthy, L. (2006), “Multi response optimization of wire

EDM operations using robust design of experiments”, International Journal of Advance


96. Rao, R.V., Padmanabhan, K.K. (2006), “Selection, identification and comparison of

industrial robots using digraph and matrix methods”, Robotics and computer Integrated

Manufacturing, 22, 373-383.

198

97. Ramakrishnan, R., Karunamoorthy, L. (2008), “Modeling and multi-response

optimization of Inconel 718 on machining of CNC WEDM process”, Journal of

materials processing technology, 207, 343–349.

98. Rao R.; Yadava V., (2009), “Multi-objective optimization of Nd:YAG laser cutting of

thin superalloy sheet using grey relational analysis with entropy measurement”, Optics

& Laser Technology, 41, 922-930.

99. Sarin, V.K., (1981), “Cemented carbide cutting tools”, Advances in powder metallurgy,

Ed. D.Y. Chin, ASM. Pp. 253-287.

100. Steel, R.G.D. and Torrie, J.H. (1986), “Principles and procedures of statistics – a

biometric approach”, Second Edition, McGraw-Hill International Book Company,

Singapore.

101. Scussel, H. J. (1992) “Friction and Wear of Cemented Carbides”, ASM Handbook, Vol.

18, ASM Int., pp. 795.

102. Spedding, T.A., Wang, Z.Q. (1997), “Study on modeling of wire EDM process”,

Journal of Materials Processing Technology, 69, 8- 28.

103. Saha, S., Pachon, M., Ghoshal, A., Schulz, M.J. (2004), “Finite element modeling and

optimization to prevent wire breakage in electro-discharge machining”, Mechanics

Research Communications, 31, 451–463.

104. Sarkar, S., Mitra, S., Bhattacharyya, B. (2005), “Parametric analysis and optimization

of wire electrical discharge machining of γ-titanium aluminide alloy”, Journal of

Materials Processing Technology, 159, 286–294.

105. Singh, H.; Kumar, P. (2006), “Optimizating multi-machining characteristics through

Tagcuhi‟s approach and utility concept”, Journal of Manufacturing Technology

Management, 17(2), 255-274.

106. Sarkar, S., Mitra, S., Bhattacharyya, B. (2006), “Parametric optimisation of wire

electrical discharge machining of γ titanium aluminide alloy through an artificial neural

network model”, International Journal of Advanced Manufacturing Technology, 27,

501–508.

199

107. Sarkar, S. , Sekh, M., Mitra, S., Bhattacharyya, B. (2007), “Modeling and optimization

of wire electrical discharge machining of γ-TiAl in trim cutting operation”, Journal of

Material Processing Technology, 205, 376-387.

108. Sanchez, J.A., Plaza, S., Ortega, N., Marcos, M., Albizuri, J. (2008), “Experimental and

numerical study of angular error in wire EDM taper cutting”, 48, 1420-1428.

109. Saha, P., Singha, A., Pal, S.K. (2008), “Soft computing models based prediction of

cutting speed and surface roughness in wire electro-discharge machining of tungsten

carbide cobalt composite”, International Journal of Advance Manufacturing


110. Shichun, D., Xuyang, C. et al. (2009), “Analysis of kerf in micro-WEDM”,

International Journal of machine Tools & Manufacture, 49, 788-792.

111. Singh G.K., Yadava V., Kumar R. (2010), “Diamond Face Grinding of WC-Co

composite with spark assistance: Experimental study and parameter optimization”,

International Journal of Precision Engineering and Manufacturing, 11, 509-518.

112. Sharma, A., Yadava, V. (2011), “Optimization of Cut Quality Characteristics during

Nd: YAG Laser Straight Cutting of Ni-Based Superalloy Thin Sheet Using Grey

Relational Analysis with Entropy Measurement”, Materials and Manufacturing

Processes, DOI:10.1080/10426914.2011.551910.

113. Taguchi, G., Wu, Y. (1979), “Off-line quality control”, Central Japan Quality Control

Association, Nagaya, Japan.

114. Tarng, Y.S., Ma, S.C., Chung, L.K. (1995), “Determination Of optimal cutting

parameters in wire electrical discharge machining”, International Journal of Machine

Tools & Manufacture, 35, 1693-170.

115. Tarng, Y.S., Juang, S.C., Chang, C.H. (2002), “The use of grey based Taguchi methods

to determine submerged arc welding process parameters in hardfacing”, Journal of

Material Processing Technology, 128, 1-6.

116. Tosun, N., Cogun, C. (2003), “An investigation of wire wear in WEDM”, Journal of

Materials Processing Technology, 134, 273-278.

200

117. Tosun, N., Cogun, C., Pihtili, H. (2003), “The effect of cutting parameters on wire

crater sizes in wire EDM”, International Journal of Advanced Manufacturing


118. Tosun, N., Cogun, C., Tosun, G. (2004), “A study on kerf and material removal rate in

wire electrical discharge machining based on Taguchi method”, Journal of Materials

Processing Technology, 152, 316-322.

119. Tzeng C.J., Lin, Y.H., Yang, Y.K., Jeng, M.C. (2009), “Optimization of turning

operations with multiple performance characteristics using the Taguchi method and

Grey relational analysis”, Journal of Material Processing Technology, 209, 2753-2759.

120. Unal, R., dean, E.B. (1991), “Taguchi aaproach to design optimization for quality and

cost: an overview”, Annual Conference of the International Society of Parametric

Analysis.

121. Venkatasamy, R., Agarwal, V.P. (1995), “System and Structure analysis of an

automobile vehicle-a graph theoretic approach”, International Journal of Vehicle

Design; 16, 477-505.

122. Wen, K.L.; Chang, T.C.; You, M.L. (1998), “The grey entropy and its application in

weighting analysys”, IEEE International Conference on System, Man and Cybernetics,

2, 1842-1844.

123. Wani, M.F., Gandhi, O.P. (1999), “Development of maintainability index for

mechanical systems”, Reliability Engineering and system safety, 65(3), 259-270.

124. Wertheim, R. Harpaz, J. Satran, A. (2002), “New tool concepts for machining of dies

and molds”, Moldmaking Technology, Gardner Publication (online, 2009).

125. Wu, F.-C.; Chyu, C.-C. (2004), “Optimization of robust design for multiple quality

characteristics”, International Journal of Production Research, 42(2), 337-354.

126. Walia, R.S.; Shan, H.S.; Kumar, P. (2006), “Multi-response optimization of CFAAFM

process through Taguchi method and utility concept”, Material and Manufacturing

Processes, 21(8), 907-914.

127. Wang, C.C., Chow, H.M., Yang, L.D., Lu, C.T. (2009), “Recast layer removal after

electrical discharge machining via Taguchi analysis: A feasibility study”, Journal of

Material Processing Technology, 209, 8, 4134-4140.

201

128. Yan, M.T., Liao, Y.S., Chang, C.C. (2001), “On-line estimation of workpiece height by

using neural networks and hierarchical adaptive control of WEDM”, International

Journal of Advanced Manufacturing Technology, 18, 884–891.

129. Yan, B.H., Tsai, H.C., Huang, F.Y., Long, L.C. (2005), “Examination of wire electrical

discharge machining of Al2O3p/6061Al composites”, International Journal of Machine

Tools & Manufacture, 45, 251–259.

130. You, M.L., Wang, C.W., Yeh, C.K., (2007), “The Development of Completed Grey

Relational Analysis Toolbox via Matlab”, Journal of Grey System, 9(1), 57-64.

202

LIST OF PUBLICATIONS

Kamal Jangra, Sandeep Grover, Aman Aggarwal (2011). Digraph and matrix method for the

performance evaluation of carbide compacting die manufactured by wire EDM.


Kamal Jangra, Sandeep Grover, F.T.S., Chan, Aman Aggarwal (2011). Digraph and matrix

method to evaluate the machinability of tungsten carbide composite with wire EDM.


Jangra, K., Grover, S., Aggarwal, A. (2011). Machinability evaluation of tungsten carbide

composite with wire EDM. Journal of Manufacturing Technology Research, (3)(1-2).

Jangra, K., Grover, S., Aggarwal, A. (2011). Simultaneous optimization of material removal

rate and surface roughness for WEDM of WC-Co composite using grey relational analysis

along with Taguchi method. International Journal of Industrial Engineering

Computations, 2, 479-490.

Jangra, K., Grover, S., Aggarwal, A. (2010). Graph Theoretic Approach to Evaluate the

Effect of various Factors on Die Performance. 3rd International Conference on Advances in

Mechanical Engineering, January 4-6, S.V. National Institute of Technology, Surat, India.

Jangra, K., Grover, S., Aggarwal, A. (2011). Optimization of multi-characteristics in intricate

machining of WC-5.3%Co composite with WEDM using Taguchi, GRA and Entropy

Measurement method. International Journal of Machining and Machinability of Materials,

(Under Review).

Jangra, K., Grover, S., Aggarwal, A. (2011). Modelling and optimization of WEDM

parameters for WC-5.3%Co using Response Surface Methodology and Steepest Descent

method. Journal of Material Science and Technology, (Under review).

203

APPENDIX A

WIRE TOOL PATH TO GENERATE CAVITY IN DIE BLOCK

Figure 1A Die profile generated in WC-Co composite

(0: starting pt. of wire electrode; 1: finishing point of wire electrode)

Arrow direction shows the wire tool movement

204

APPENDIX B

ENTROPY MEASUREMENT FOR MACHINING CHARACTERISTICS

Table A: Value of mapping function we (x) [equation 7.11]

Sr. No. we (MRR) we (SR) we (AE) we (RoC)

1 0.142945 0.161621 0.145975 0.123612

2 0.212532 0.112885 0.123636 0.110016

3 0.166495 0.118932 0.270377 0.099482

4 0.14197 0.18957 0.161145 0.109523

5 0.200299 0.125466 0.169646 0.099665

6 0.140613 0.120708 0.221285 0.094251

7 0.130647 0.230005 0.125955 0.104059

8 0.121875 0.161804 0.120952 0.098852

9 0.218211 0.09358 0.116005 0.091956

10 0.078252 0.208114 0.101296 0.219197

11 0.125894 0.113393 0.11737 0.252859

12 0.144404 0.086191 0.108594 0.142945

13 0.102141 0.152148 0.099059 0.216468

14 0.105869 0.110078 0.113243 0.161388

15 0.132812 0.098154 0.198145 0.155356

16 0.081732 0.2384 0.120869 0.158513

17 0.132748 0.103903 0.104938 0.143371

18 0.148454 0.095206 0.101663 0.138879

Sum 2.527893

2.520158

2.520152

2.520391

Normalized coefficient: S = 1/ (0.6487× 18) = 0.085641 (using equation 7.14)

Entropy of each machining characteristics:

ek = S × (sum we);

eMRR = 0.085641 × 2.527893 = 0.21649

eSR = 0.085641 × 2.520158 = 0.21583

eAE = 0.085641 × 2.520152 = 0.215829

eRoC = 0.085641 × 2.520391 = 0.21585

references - inflibnetshodhganga.inflibnet.ac.in/bitstream/10603/7876/17/18_bibliography.pdfgauri,...

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