Use of PCA-grey analysis and RSM to model cutting time and surface finish of Inconel 800 during wire electro discharge cutting

Abstract This paper exhibits a test examination and investigation on the impacts of Wire Electro Discharge Cutting (WEDC) parameter on cutting time and surface roughness (Ra) of Inconel 800. Four cutting parameters, pulse-on time, pulse-off time, pulsed current and servo voltage have been selected to study their effects on cutting time and surface roughness (Ra). The response variables like cutting time and surface roughness (Ra) are then analysed using response surface methodology (RSM). The general belief that increase in pulse-on time reduces cutting time has been revisited. It has been seen, here, that cutting time diminishes with the expansion of pulse-on time obviously up to the limit and from there on again increments. The surface roughness, on the other hand, increases with the increase in pulse-on time appreciably. It is for the most part seen that when the rate of machining is moderate, i.e. it requires longer investment to machine then the surface completion is superior to that acquired while machining at a quicker rate. But, as increased machining time leads to an increase in the manufacturing cost, a trade-off between cutting time and surface roughness, was successfully made by utilising a hybrid PCA-grey relational analysis (GRA). This gave the best combination of cutting parameters. Also hybrid GRA-PCA shows less percentage error compare to traditional GRA.

[1]  V. S. Senthil Kumar,et al.  An Experimental Investigation for Multi-Response Optimization of Friction Stir Process Parameters During Fabrication of AA6061/B4Cp Composites , 2015 .

[2]  Can Cogun,et al.  The Effect of Cutting Parameters on Workpiece Surface Roughness in Wire EDM , 2003 .

[3]  Y. S. Tarng,et al.  Optimization of turning operations with multiple performance characteristics , 1999 .

[4]  M. Mir,et al.  Modeling and analysis of machining parameters for surface roughness in powder mixed EDM using RSM approach , 2013 .

[5]  D. V. S. S. S. V. Prasad,et al.  Empirical modeling and optimization of wire electrical discharge machining , 2009 .

[6]  M. Santhanakumar,et al.  Experimental Modelling and Analysis in Abrasive Waterjet Cutting of Ceramic Tiles Using Grey-Based Response Surface Methodology , 2015 .

[7]  Nixon Kuruvila,et al.  PARAMETRIC INFLUENCE AND OPTIMIZATION OF WIRE EDM OF HOT DIE STEEL , 2011 .

[8]  Asit Baran Puri,et al.  An analysis and optimisation of the geometrical inaccuracy due to wire lag phenomenon in WEDM , 2003 .

[9]  Abhijit Saha,et al.  Experimental investigation and modelling of WEDM process for machining nano-structured hardfacing material , 2017 .

[10]  Rupinder Singh,et al.  Surface modification by electrical discharge machining: A review , 2009 .

[11]  Jean-Pierre Kruth,et al.  Influence of the electrical conductivity of dielectric on WEDM of sintered carbide , 2001 .

[12]  Himadri Majumder,et al.  Performance analysis and optimization in turning of ASTM A36 through process capability index , 2016, Journal of King Saud University - Engineering Sciences.

[13]  M. Ashok Kumar,et al.  Optimization of Wire Cut Electrical Discharge Machining of Inconel 800 Using Grey Relational Analysis , 2012 .

[14]  R. Adalarasan,et al.  Optimization of laser cutting parameters for Al6061/SiCp/Al2O3 composite using grey based response surface methodology (GRSM) , 2015 .

[16]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .

[17]  Karl Pearson F.R.S. LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[18]  B. Jabbaripour,et al.  INVESTIGATING THE EFFECTS OF EDM PARAMETERS ON SURFACE INTEGRITY, MRR AND TWR IN MACHINING OF Ti–6Al–4V , 2012 .

[19]  Taho Yang,et al.  The use of a grey-based Taguchi method for optimizing multi-response simulation problems , 2008 .

[20]  Subhas Chandra Mondal,et al.  Multi-objective Optimization of Welding Parameters in MMAW for Nano-structured Hardfacing Material Using GRA Coupled with PCA , 2017, Transactions of the Indian Institute of Metals.

[21]  C. Sathiya Narayanan,et al.  Optimization of EDM process parameters in machining Si3N4–TiN conductive ceramic composites to improve form and orientation tolerances , 2016 .

[22]  Che Hassan Che Haron,et al.  Investigation on the influence of machining parameters when machining tool steel using EDM , 2001 .

[23]  S. Venugopal,et al.  Performance Analysis of Wire Electrodes on Machining Ti-6Al-4V Alloy using Electrical Discharge Machining Process , 2015 .

[24]  Dingwen Yu,et al.  Influence of machining parameters on surface roughness in finish cut of WEDM , 2007 .

[25]  S. V. Wong,et al.  Surface Roughness Identification Using the Grey Relational Analysis with Multiple Performance Characteristics in Turning Operations , 2012 .

[26]  Ajai Jain,et al.  An Experimental Investigation for Optimization of WEDM Parameters During Machining of Fabricated Al/ZrO2(p)-MMC , 2013 .

[27]  Ajai Jain,et al.  An Investigation on Machinability of Al/10 % ZrO2(P)-Metal Matrix Composite by WEDM and Parametric Optimization Using Desirability Function Approach , 2014 .

[28]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[29]  Nihat Tosun,et al.  Gray relational analysis of performance characteristics in MQL milling of 7075 Al alloy , 2010 .

[30]  Trevor A Spedding,et al.  Parametric optimization and surface characterization of wire electrical discharge machining process , 1997 .

[31]  E. Mohandas,et al.  Parametric optimization of wire electrical discharge machining on aluminium based composites through grey relational analysis , 2015 .

[32]  Reza Kashiry Fard,et al.  Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al–SiC metal matrix composite , 2013 .

[33]  Kapil Kumar,et al.  Parametric optimisation of surface roughness on wire-EDM using Taguchi method , 2011, Int. J. Manuf. Technol. Manag..

[34]  V. Anandakrishnan,et al.  Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis , 2014 .

[35]  Ajai Jain,et al.  Multi-objective Optimization of Process Parameters in Wire Electric Discharge Machining of Ti-6-2-4-2 Alloy , 2014 .

[36]  Radomil Matousek,et al.  Analyzing the surface layer after WEDM depending on the parameters of a machine for the 16MnCr5 steel , 2016 .

[37]  Himadri Majumder,et al.  Multi Criteria Selection of Optimal Machining Parameter in Turning Operation Using Comprehensive Grey Complex Proportional Assessment Method for ASTM A36 , 2016 .

[38]  S. Mondal,et al.  Multi-objective optimization in WEDM process of nanostructured hardfacing materials through hybrid techniques , 2016 .

[39]  T. A. El-Taweel,et al.  Modelling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM , 2005 .

[40]  D. F. Dauw,et al.  A New Approach for Contamination Measurements for EDM Dielectrics , 1987 .