Parametric optimisation of EDM on Al-Cu/TiB2 in-situ metal matrix composites using TOPSIS method

The article presents a study which focuses on optimisation of electric discharge machining (EDM) process parameters of Al-CuTiB2 metal matrix composites (MMCs). MMCs were synthesised using in-situ casting and L18 orthogonal arrays (OA) were applied to optimise EDM process parameters. Input parameters considered were discharge current, pulse on time and pulse off time; response parameters include metal removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). A multi attribute decision making (MADM) technique namely technique for order preference by similarity to ideal solution (TOPSIS) were applied for solving multi-criteria optimisation in the EDM process. The optimal EDM process parameters were found and the results obtained using TOPSIS was agreed by practitioners.

[1]  Longtao Jiang,et al.  Effects of vacuum degree on tribological behavior of TiB2/Al composites , 2011 .

[2]  B. S. Murty,et al.  Effect of TiB2 particles on aging response of Al–4Cu alloy , 2004 .

[3]  M. C. Kayacan,et al.  Evolutionary programming method for modeling the EDM parameters for roughness , 2008 .

[4]  Masanori Kunieda,et al.  Advancing EDM through fundamental insight into the process , 2005 .

[5]  Z. Sadeghian,et al.  Microstructural and mechanical evaluation of Al-TiB2 nanostructured composite fabricated by mechanical alloying , 2011 .

[6]  D. Mondal,et al.  Effect of Al–TiB master alloy addition on microstructure, wear and compressive deformation behaviour of aluminum alloys , 2012 .

[7]  T. Senthilvelan,et al.  Modeling and Optimization of EDM Process Parameters on Machining of Al 7075-B4C MMC Using RSM , 2012 .

[8]  Yih-fong Tzeng.  Development of a flexible high-speed EDM technology with geometrical transform optimization , 2008 .

[9]  P. Sengottuvel,et al.  Optimization of Multiple Characteristics of EDM Parameters Based on Desirability Approach and Fuzzy Modeling , 2013 .

[10]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[11]  S. Oliaei,et al.  Influence of Input Parameters on the Characteristics of the EDM Process , 2011 .

[12]  Pradeep Kumar,et al.  PARAMETRIC OPTIMIZATION OF POWDER MIXED ELECTRICAL DISCHARGE MACHINING BY RESPONSE SURFACE METHODOLOGY , 2005 .

[13]  K. Sivaprasad,et al.  Influence of turning parameters on the machinability of homogenized Al–Cu/TiB2 in situ metal matrix composites , 2013 .

[14]  S. Chakraborty,et al.  Grinding Wheel Abrasive Material Selection Using Fuzzy TOPSIS Method , 2013 .

[15]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[16]  P.Narender Singh,et al.  Optimization by Grey relational analysis of EDM parameters on machining Al–10%SiCP composites , 2004 .

[17]  V. S. Gadakh,et al.  PARAMETRIC OPTIMIZATION OF WIRE ELECTRICAL DISCHARGE MACHINING USING TOPSIS METHOD , 2012 .

[18]  Hamid Baseri,et al.  Optimization of machining parameters in rotary EDM process by using the Taguchi method , 2012, The International Journal of Advanced Manufacturing Technology.

[19]  Fu-Chen Chen,et al.  Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach , 2007 .

[20]  Yang Dayong,et al.  The study of high efficiency and intelligent optimization system in EDM sinking process , 2004 .

[21]  G. Krishna Mohana Rao,et al.  Development of hybrid model and optimization of surface roughness in electric discharge machining using artificial neural networks and genetic algorithm , 2009 .

[22]  Der-An Wang,et al.  Optimization of machining parameters in magnetic force assisted EDM based on Taguchi method , 2009 .

[23]  Sami Ekici,et al.  An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM , 2009, Expert Syst. Appl..

[24]  Marta Ziemnicka-Sylwester.  The Cu matrix cermets remarkably strengthened by TiB2 “in situ” synthesized via self-propagating high temperature synthesis , 2014 .

[25]  F. Froes.  Advanced metals for aerospace and automotive use , 1994 .

[26]  Zhihui Zhang,et al.  Effect of Cu content in Cu–Ti–B4C system on fabricating TiC/TiB2 particulates locally reinforced steel matrix composites , 2012 .

[27]  P. Lakshminarayanan,et al.  Dry sliding wear behaviour of in situ Al–TiB2 composites , 2013 .

[28]  Mostafa Jafarian,et al.  A fuzzy multi-attribute approach to select the welding process at high pressure vessel manufacturing , 2012 .

[29]  S. P. Sivapirakasam,et al.  Multi-attribute decision making for green electrical discharge machining , 2011, Expert Syst. Appl..