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, Volume 11, Issue 2, pp 899–907 | Cite as

Experimental Investigation of the PMEDM of Nickel Free Austenitic Stainless Steel: A Promising Coronary Stent Material

  • Deepak Kumar NaikEmail author
  • Akhtar Khan
  • Himadri Majumder
  • Rajiv Kumar Garg
Original Paper
  • 38 Downloads

Abstract

A new composition of Taguchi and the technique for order preference by similarity to ideal solution (TOPSIS) in combination with principal component analysis (PCA) has been explored. A series of experiments were performed in order to acquire an optimal parametric combination during powder mixed electro-discharge machining (PMEDM) of nickel free austenitic stainless steel. Peak current, pulse on time and powder concentration were selected as three process variables, whereas the material removal rate (MRR), tool wear rate (TWR) and over cut (OC) were the major attention. Domain of the investigation was adopted from Taguchi based L16 orthogonal array. The outcomes of the experiment were optimized using TOPSIS method whereas PCA technique was employed to determine the weightage of each response. Response table for S/N ratio was drawn to identify the most influencing machining parameter. Results of the investigation indicated that, peak current was the most effective machining variable followed by pulse on time and powder concentration. The proposed amalgamation of PCA-TOPSIS method was observed to be robust, easily understandable, time saving and modest approach which can help the decision maker to identify an optimal parametric combination with desirable accuracy.

Keywords

PMEDM Nickel free austenitic stainless steel PCA TOPSIS Nickel powder 

Abbreviations

EDM

Electro discharge machining

PMEDM

Powder mixed electro-discharge machining

PCA

Principal component analysis

DOE

Design of experiment

MRR

Material removal rate

TWR

Tool wear rate

OC

Overcut

WEDM

Wire electrical discharge machining

AHP

Analytic hierarchy process

MOO

Multi-objective optimization

OA

Orthogonal array

S/N

Signal to noise ratio

MPCI

Multi-performance characteristic index

TOPSIS

Technique for order preference by similarity to ideal solution

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Deepak Kumar Naik
    • 1
    Email author
  • Akhtar Khan
    • 1
  • Himadri Majumder
    • 1
  • Rajiv Kumar Garg
    • 2
  1. 1.Department of Mechanical EngineeringNational Institute of Technology RourkelaRourkelaIndia
  2. 2.Department of Industrial and Production EngineeringDr. B R Ambedkar National Institute of Technology JalandharJalandharIndia

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