Skip to main content
Log in

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

  • Original Paper
  • Published:
Silicon Aims and scope Submit manuscript


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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others



Electro discharge machining


Powder mixed electro-discharge machining


Principal component analysis


Design of experiment


Material removal rate


Tool wear rate




Wire electrical discharge machining


Analytic hierarchy process


Multi-objective optimization


Orthogonal array


Signal to noise ratio


Multi-performance characteristic index


Technique for order preference by similarity to ideal solution


  1. Paul T, Majumder H, Dey V, Dutta P (2015) Study the effect of material removal rate in die-sinking EDM for Inconel 800 using response surface methodology. J Mater Sci Mech Eng 2:27–31

    Google Scholar 

  2. Majumder H, Maity K (2018) Prediction and optimization of surface roughness and micro-hardness using grnn and MOORA-fuzzy-a MCDM approach for nitinol in WEDM. Measurement 118:1–13

    Article  Google Scholar 

  3. Garg R, Singh K, Sachdeva A, Sharma VS, Ojha K, Singh S (2010) Review of research work in sinking EDM and WEDM on metal matrix composite materials. Int J Adv Manuf Technol 50(1):611–624

    Article  Google Scholar 

  4. Kansal H, Singh S, Kumar P (2005) Parametric optimization of powder mixed electrical discharge machining by response surface methodology. J Mater Process Technol 169(3):427–436

    Article  CAS  Google Scholar 

  5. Panda BN, Biswal BB, Deepak B (2014) Integrated AHP and fuzzy TOPSIS approach for the selection of a rapid prototyping process under multi-criteria perspective.

  6. Majumder H, Maity K (2017) Optimization of machining condition in WEDM for titanium grade 6 using MOORA coupled with PCA—a multivariate hybrid approach. J Adv Manuf Syst 16(02):81–99

    Article  Google Scholar 

  7. Mahapatra SS, Panda BN (2013) Benchmarking of rapid prototyping systems using grey relational analysis. Int J Serv Oper Manage 16(4):460–477

    Google Scholar 

  8. Majumder H, Paul T, Dey V, Dutta P, Saha A (2017) Use of PCA-grey analysis and RSM to model cutting time and surface finish of Inconel 800 during wire electro discharge cutting. Measurement 107:19–30

    Article  Google Scholar 

  9. Khan A, Khan A, Maity K, Maity K (2017) Application of MCDM-based TOPSIS method for the selection of optimal process parameter in turning of pure titanium. Benchmarking: An Int J 24(2):2009–2021

    Article  Google Scholar 

  10. Khan A, Maity K (2016) Application of MCDM-based TOPSIS method for the optimization of multi quality characteristics of modern manufacturing processes. Int J Eng Res Africa 23:33–51

    Article  Google Scholar 

  11. Kumar A, Majumder H, Vivekananda K, Maity K (2017) NSGA-II approach for multi-objective optimization of wire electrical discharge machining process parameter on inconel 718. Mater Today: Proc 4(2):2194–2202

    Google Scholar 

  12. Panda BN, Jena A, Mahapatra S (2010) Prediction of surface finish and material removal rate in wire electrical discharge machining (WEDM) using fuzzy approach. Int J Manuf Technol Ind Eng (IJMTIE) 1(2):109–116

    Google Scholar 

  13. Hwang C-L, Masud ASM (2012) Multiple objective decision making—methods and applications: a state-of-the-art survey, vol 164. Springer Science & Business Media

  14. Opricovic S, Tzeng G -H (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445–455

    Article  Google Scholar 

  15. Athawale VM, Chakraborty S (2010) A TOPSIS method-based approach to machine tool selection. Proc: Int Conf Ind Eng Oper Manage, 65–70

  16. Chakladar ND, Chakraborty S (2008) A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection. Proc: Inst Mech Eng Part B: J Eng Manuf 222(12):1613–1623

    Article  Google Scholar 

  17. Singh A, Datta S, Mahapatra SS (2011) Application of TOPSIS in the Taguchi method for optimal machining parameter selection. J Manuf Sci Prod 11(1-3):49–60

    Google Scholar 

  18. Majumder H, Saha A (2018) Application of MCDM based hybrid optimization tool during turning of ASTM A588. Decis Sci Lett 7(2):143–156

    Article  Google Scholar 

  19. Tsui K -L (1992) An overview of Taguchi method and newly deve- loped statistical methods for robust design. IIE Trans 24(1):44–57

    Article  Google Scholar 

  20. Mahapatra S, Patnaik A (2007) Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method. Int J Adv Manuf Technol 34(9):911–925

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Deepak Kumar Naik.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Naik, D.K., Khan, A., Majumder, H. et al. Experimental Investigation of the PMEDM of Nickel Free Austenitic Stainless Steel: A Promising Coronary Stent Material. Silicon 11, 899–907 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: