Selecting Significant Process Parameters of ECG Process Using Fuzzy-MCDM Technique

The present paper highlights selection of significant machining parameters during Electrochemical grinding while machining alumina-aluminum interpenetrating phase composites by MCDM techniques. The conflicting responses like higher material removal rate, lower surface roughness, lower overcut and lower cutting force are ensured simultaneously by a single parametric combination. Control parameters like electrolyte concentration, voltage, depth of cut and electrolyte flow rate have been considered for experimentation. VIKOR is one of the multiple criteria decision making (MCDM) models to determine the reference ranking from a set of alternatives in the presence of conflicting criteria. Finally Grey Relational Analysis is performed to optimize multiple performances in which different levels combinations of the factors are ranked based on grey relational grade. Surface roughness is given more importance than other responses, using Fuzzy Set Theory considering basic objective of the process. It is observed that substantial improvement in machining performance takes place following this technique. The study highlights the effects of different process variables on multiple performances for complex process like ECG. Selecting Significant Process Parameters of ECG Process Using Fuzzy-MCDM Technique

[1]  Lee-Ing Tong,et al.  Optimization of multi-response processes using the VIKOR method , 2007 .

[2]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[3]  Kees Wevers,et al.  Grey System Theory and Applications: A Way Forward , 2007 .

[4]  B. Roy.  Decision-aid and decision-making , 1990 .

[5]  Tien-Chin Wang,et al.  Multi-Criteria Decision Analysis by Using Fuzzy VIKOR , 2006, 2006 International Conference on Service Systems and Service Management.

[6]  J. L Lin,et al.  The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics , 2002 .

[7]  J. Atkinson,et al.  The Surface Finish Resulting from Peripheral Electrochemical Grinding , 1982 .

[8]  Ping-Feng Pai,et al.  Applying Linguistic VIKOR and Knowledge Map in Personnel Selection , 2011 .

[9]  Russell L. Ackoff,et al.  An Approximate Measure of Value , 1954, Oper. Res..

[10]  Edmundas Kazimieras Zavadskas,et al.  A new additive ratio assessment (ARAS) method in multicriteria decision‐making , 2010 .

[11]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[12]  Jurgita Antucheviciene,et al.  Measuring Congruence of Ranking Results Applying Particular MCDM Methods , 2011, Informatica.

[13]  Mohamed F. El-Santawy.  A VIKOR Method for Solving Personnel Training Selection Problem , 2012 .

[14]  Xueyu Ruan,et al.  Application of grey relational analysis in sheet metal forming for multi-response quality characteristics , 2007 .

[15]  Alireza Fallahpour,et al.  Evaluating applicability of VIKOR method of multi-criteria decision making for parameters selection problem in rotor spinning , 2012, Fibers and Polymers.

[16]  Maghsoud Amiri,et al.  Group Decision Making Process for Supplier Selection with VIKOR under Fuzzy Circumstance Case Study: An Iranian Car Parts Supplier , 2011 .

[17]  Abdullah Kurt,et al.  Design and construction of a dynamometer for measurement of cutting forces during machining with linear motion , 2002 .

[18]  C. C. Tsao,et al.  Grey–Taguchi method to optimize the milling parameters of aluminum alloy , 2009 .

[19]  C. L. Lin,et al.  Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics , 2004 .

[20]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[21]  Taho Yang,et al.  The use of grey relational analysis in solving multiple attribute decision-making problems , 2008, Comput. Ind. Eng..

[22]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[23]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[24]  P. S. Kao,et al.  Optimization of electrochemical polishing of stainless steel by grey relational analysis , 2003 .

[25]  H. S. Lu,et al.  The optimal cutting parameter design of rough cutting process in side milling , 2008 .

[26]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .

[27]  Edmundas Kazimieras Zavadskas,et al.  A New Logarithmic Normalization Method in Games Theory , 2008, Informatica.

[28]  Gaetano Manfredi,et al.  Comparative Analysis of Multi‐Criteria Decision‐Making Methods for Seismic Structural Retrofitting , 2009, Comput. Aided Civ. Infrastructure Eng..

[29]  Allan D. Shocker,et al.  Linear programming techniques for multidimensional analysis of preferences , 1973 .

[30]  Michael J. Hoffmann,et al.  Preparation of interpenetrating ceramic–metal composites , 2004 .