Application of multi criteria decision making methods to select sheet hydroforming process parameters

Article history: Received October 25, 2015 Received in revised format: February 12, 2016 Accepted February 22, 2016 Available online Februray 22 2016 The present study endeavors to show an application of the multi objective optimization on the basis of ratio analysis (MOORA) method and technique for order performance by similarity to ideal solution (TOPSIS) method to select optimal process parameters in sheet hydroforming process. The right choice of the process parameters is critical to produce a final part with proper quality. In order to meet this characteristic, the important properties are the cup final thickness (FT), required forming force (FF) and radial stress (RS) at cup wall region. Nine alternatives for selecting the process parameters were taken into consideration based on Taguchi L9 orthogonal array. The limit drawing ratio (LDR), maximum pressure and prebulge pressure were selected as input variables. To solve the problem of process parameters’ selection, the two mentioned methods were used. A compromised weighting approach composed of Entropy and analytic hierarchy process (AHP) methods were used to weight all criteria. The alternatives ranking were performed using MOORA and TOPSIS methods and then the results were compared. The results achieved in both of the assessment represent that the alternative number 3, leads to the best multi performance features of the process among the 9 experiments. In this experiment LDR is 1.81, maximum pressure and prebulge pressure are 37 MPa and 15 MPa, respectively. Growing Science Ltd. All rights reserved. 6 © 201

[1]  Y Qi,et al.  A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment , 2010 .

[2]  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.

[3]  Prasenjit Chatterjee,et al.  Material selection using preferential ranking methods , 2012 .

[4]  Y. B. Wah,et al.  Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests , 2011 .

[5]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[6]  G. Palumbo,et al.  Numerical/experimental investigations for enhancing the sheet hydroforming process , 2006 .

[7]  Morteza Pakdin Amiri,et al.  Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..

[8]  Jianyu Chu,et al.  The Application of TOPSIS Method in Selecting Fixed Seismic Shelter for Evacuation in Cities , 2012 .

[9]  S. M. Sapuan,et al.  A comprehensive VIKOR method for material selection , 2011, Materials & Design.

[10]  Khalil Khalili,et al.  Modeling and Optimization of Pressure Profile in Hydroforming of St12 Conic Part with RSM and Genetic Algorithm , 2011 .

[11]  Jaksan D. Patel,et al.  Application of AHP/MOORA Method to Select Wire Cut Electrical Discharge Machining Process Parameter to Cut EN31 Alloys Steel with Brasswire☆ , 2015 .

[12]  Halil Çalışkan,et al.  Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods , 2013 .

[13]  Anup. K. Sharma,et al.  Finite element analysis of sheet Hydromechanical forming of circular cup , 2009 .

[14]  Ali Shanian,et al.  TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell , 2006 .

[15]  K. Khalili,et al.  Loading path optimization of a hydroformed part using multilevel response surface method , 2014 .

[17]  King Jet Tseng,et al.  Multi-objective material selection for wind turbine blade and tower: Ashby’s approach , 2012 .

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

[19]  Swadesh Kumar Singh,et al.  A comparison of different neural network training algorithms for hydromechanical deep drawing , 2004 .

[20]  Ali Shanian,et al.  A material selection model based on the concept of multiple attribute decision making , 2006 .

[21]  Hanping Zhang.  Application on the Entropy Method for Determination of Weight of Evaluating Index in Fuzzy Mathematics for Wine Quality Assessment , 2015 .

[22]  S. Chakraborty,et al.  Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection , 2012 .

[23]  Lihui Lang,et al.  Investigation into hydrodynamic deep drawing assisted by radial pressure: Part II. Numerical analysis of the drawing mechanism and the process parameters , 2005 .

[24]  Chen-Fu Chien,et al.  An AHP-based approach to ERP system selection , 2005 .

[25]  Jun Ni,et al.  Flow channel shape optimum design for hydroformed metal bipolar plate in PEM fuel cell , 2008 .

[26]  R. Venkata Rao,et al.  Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods , 2013 .