Skip to main content
Log in

WEDM Parameter Optimization for Silicon@r-GO/Magneisum Composite Using Taguchi Based GRA Coupled PCA

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

Abstract

A combination of Taguchi methodology and Grey Relational Analysis (GRA) inturn coupled with principal component analysis (PCA) has been proposed through this paper. This methodology is adopted in order to evaluate and estimate the effect of machining parameters over the output responses of Wire Electrical-Discharge Machining (WEDM) performed on Magnesium based metal matrix composite. In this research, an optimal combination of process parameter was expected to be finalized so as to attain a state of maximum Material Removal Rate (MRR) that too with minimal surface roughness (Ra) value. WEDM of developed composite specimens were confirmed to be of L27 orthogonal array(OA) using Taguchi’s method, based mainly on control factors namely reinforcement weight percentage (wt.%), Doping (DP %), Pulse ON time (T-ON), Pulse OFF time (T-OFF) and wire feed rate (WF). ANOVA outcome reveals that wt.% and DP% are the most influencing parameter for MRR and Ra. Multiobjective responses were normalized using GRA; further PCA was applied to evaluate the weighting values corresponding to each performance. The optimial parameter was set and the final results obtained depending on the optimal combination was found to be with a maximum MRR of 14.9 mm3/min and a minimum Ra of 2.04 μm.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Kavimani V, Prakash KS, Starvin MS, Kalidas B, Viswamithran V, Arun SR (2019) Tribo-surface characteristics and Wear behaviour of SiC@ r-GO/mg composite worn under varying control factor. Silicon:1–11

  2. Kavimani V, Prakash KS (2018) Doping effect of SiC over graphene on dry sliding Wear behaviour of mg/SiC@ r-GO MMCs and its surface characterization. Silicon 10:2829–2843

    Article  CAS  Google Scholar 

  3. Kavimani V, Prakash KS, Gunashri R, Sathish P (2018) Corrosion protection behaviour of r-GO/TiO2 hybrid composite coating on magnesium substrate in 3.5 wt.% NaCl. Prog Org Coat 125:358–364

    Article  CAS  Google Scholar 

  4. Mohan Das Gandhi AG, Soorya Prakash K, Kavimani V (2018) Effect of r-GO/TiO2 hybrid composite as corrosion-protective coating on magnesium in Sulphur-based electrolyte. Anti-Corrosion Methods Mater 65:375–382

    Article  Google Scholar 

  5. Kumarasamy SP, Vijayananth K, Thankachan T, Muthukutti GP (2017) Investigations on mechanical and machinability behavior of aluminum/flyash cenosphere/gr hybrid composites processed through compocasting. J Appl Res Technol 15:430–441

    Article  Google Scholar 

  6. Kavimani V, Prakash KS (2017) Tribological behaviour predictions of r-GO reinforced mg composite using ANN coupled Taguchi approach. J Phys Chem Solids 110:409–419

    Article  CAS  Google Scholar 

  7. Kavimani V, Soorya Prakash K, Arun Pandian M (2017) Influence of r-GO addition on enhancement of corrosion and wear behavior of AZ31 MMC. Appl Phys A Mater Sci Process 123. https://doi.org/10.1007/s00339-017-1118-8

  8. Prakash KS, Gopal PM, Kavimani V (2017) Effect of rock dust, cenosphere and E-waste glass addition on mechanical, wear and machinability behaviour of Al 6061 hybrid composites. Indian J Eng Mater Sci 24:270–282

    CAS  Google Scholar 

  9. Ravikumar M, Reddappa HN, Suresh R (2018) Study on mechanical and Tribological characterization of Al 2 O 3/SiCp reinforced aluminum metal matrix composite. Silicon:1–11

  10. Habibi MK, Hamouda a MS, Gupta M (2012) Enhancing tensile and compressive strength of magnesium using ball milled Al+CNT reinforcement. Compos Sci Technol 72:290–298. https://doi.org/10.1016/j.compscitech.2011.11.015

    Article  CAS  Google Scholar 

  11. Rashad M, Pan F, Tang A, Asif M, Hussain S, Gou J, et al. Journal of industrial and engineering chemistry improved strength and ductility of magnesium with addition of aluminum and graphene nanoplatelets ( Al + GNPs ) using semi powder metallurgy method 2014

  12. Kavimani V, Prakash KS, Thankachan T (2019) Influence of machining parameters on wire electrical discharge machining performance of reduced graphene oxide/magnesium composite and its surface integrity characteristics. Compos Part B Eng 167:621–630

    Article  CAS  Google Scholar 

  13. Kavimani V, Prakash KS, Thankachan T (2019) Experimental investigations on wear and friction behaviour of SiC@ r-GO reinforced mg matrix composites produced through solvent-based powder metallurgy. Compos Part B Eng 162:508–521

    Article  CAS  Google Scholar 

  14. Kavimani V, Prakash KS, Thankachan T (2019) Investigation of graphene-reinforced magnesium metal matrix composites processed through a solvent-based powder metallurgy route. Bull Mater Sci 42:39

    Article  Google Scholar 

  15. Kavimani V, Prakash KS, Thankachan T (2017) Surface characterization and specific wear rate prediction of r-GO / AZ31 composite under dry sliding wear condition. Surfaces and Interfaces 6:143–153. https://doi.org/10.1016/j.surfin.2017.01.004

    Article  CAS  Google Scholar 

  16. Fukuda H, Szpunar JA, Kondoh K, Chromik R (2010) The influence of carbon nanotubes on the corrosion behaviour of AZ31B magnesium alloy. Corros Sci 52:3917–3923. https://doi.org/10.1016/j.corsci.2010.08.009

    Article  CAS  Google Scholar 

  17. Mindivan H, Efe A, Kosatepe AH, Kayali ES (2014) Fabrication and characterization of carbon nanotube reinforced magnesium matrix composites. Appl Surf Sci 318:234–243. https://doi.org/10.1016/j.apsusc.2014.04.127

    Article  CAS  Google Scholar 

  18. Rashad M, Pan F, Tang A, Asif M, Aamir M (2014) Synergetic effect of graphene nanoplatelets (GNPs) and multi-walled carbon nanotube (MW-CNTs) on mechanical properties of pure magnesium. J Alloys Compd 603:111–118. https://doi.org/10.1016/j.jallcom.2014.03.038

    Article  CAS  Google Scholar 

  19. Rashad M, Pan F, Hu H, Asif M, Hussain S, She J (2015) Enhanced tensile properties of magnesium composites reinforced with graphene nanoplatelets. Mater Sci Eng A 630:36–44. https://doi.org/10.1016/j.msea.2015.02.002

    Article  CAS  Google Scholar 

  20. Boostani a F, Tahamtan S, Jiang ZY, Wei D, Yazdani S, Khosroshahi RA et al (2015) Enhanced tensile properties of aluminium matrix composites reinforced with graphene encapsulated SiC nanoparticles. Compos Part A 68:155–163. https://doi.org/10.1016/j.compositesa.2014.10.010

    Article  CAS  Google Scholar 

  21. Kumar SD, Synthesis RM Characterization and wire electric Erosion behaviour of AA7178-10 wt.% ZrB 2 composite. Silicon 2018:1–10

  22. Manjaiah M, Narendranath S, Basavarajappa S (2016) Wire electro discharge machining performance of TiNiCu shape memory alloy. Silicon 8:467–475

    Article  CAS  Google Scholar 

  23. Kumar SS, Uthayakumar M, Kumaran ST, Parameswaran P, Haneef TK, Mukhopadhyay CK et al (2018) Performance monitoring of WEDM using online acoustic emission technique. Silicon:1–8

  24. Soni H, Narendranath S, Ramesh MR (2018) Effects of wire electro-discharge machining process parameters on the machined surface of Ti 50 Ni 49 co 1 shape memory alloy. Silicon:1–7

  25. Sharma P, Chakradhar D, Narendranath S (2018) Analysis and optimization of WEDM performance characteristics of Inconel 706 for aerospace application. Silicon 10:921–930

    Article  CAS  Google Scholar 

  26. Kavimani V, Prakash KS, Thankachan T (2019) Multi-objective optimization in WEDM process of graphene–SiC-magnesium composite through hybrid techniques. Measurement

  27. Manoj M, Jinu GR, Muthuramalingam T (2018) Multi response optimization of AWJM process parameters on machining TiB 2 particles reinforced Al7075 composite using Taguchi-DEAR methodology. Silicon:1–7

  28. Kumar PN, Rajadurai A, Muthuramalingam T (2018) Multi-response optimization on mechanical properties of silica fly ash filled polyester composites using taguchi-grey relational analysis. Silicon:1–7

  29. Suresh G, Vasu V, Rao MV (2018) A composite (Taguchi-utility-RSM) approach for optimizing the Tribological responses of polytetrafluoroethylene (PTFE) nanocomposites for self-lubrication applications. Silicon:1–11

  30. Majumder H, Maity KP (2018) Predictive analysis on responses in WEDM of titanium grade 6 using general regression neural network (GRNN) and multiple regression analysis (MRA). Silicon:1–14

  31. Ilkhechi NN, Yavari R, Barakan S (2017) Evaluation and optimization of effective parameters on zinc sulfate flotation by the Taguchi method. Silicon 9:695–701

    Article  CAS  Google Scholar 

  32. Kumar SS, Uthayakumar M, Kumaran ST, Parameswaran P, Mohandas E, Kempulraj G et al (2015) Parametric optimization of wire electrical discharge machining on aluminium based composites through grey relational analysis. J Manuf Process 20:33–39. https://doi.org/10.1016/j.jmapro.2015.09.011

    Article  Google Scholar 

  33. Gopal PM, Prakash KS, Jayaraj S WEDM of mg/CRT/BN composites: effect of materials and machining parameters. Mater Manuf Process 2017:1–8

  34. Kr S, Alakesh G, Ajai M. An Experimental Investigation for Optimization of WEDM Parameters During Machining of Fabricated Al / ZrO 2 ( p ) -MMC 2013;2:3471–3483. doi:https://doi.org/10.1007/s13369-013-0657-3

  35. Babu T, Gopala RA (2013) Simultaneous optimization of multiple performance characteristics in WEDM for machining ZC63 / SiC p MMC. Adv Manuf 1:265–275. https://doi.org/10.1007/s40436-013-0029-y

    Article  Google Scholar 

  36. Jagadish RA (2016) Optimization of process parameters of green electrical discharge machining using principal component analysis (PCA). Int J Adv Manuf Technol 87:1299–1311

    Article  Google Scholar 

  37. Sachin Ashok S, Kulkarni ML (2018) Optimization of machining parameters of WEDM for Nimonic-75 alloy using principal component analysis integrated with Taguchi method. J King Saud Univ Sci

  38. Pradhan MK (2013) Estimating the effect of process parameters on MRR, TWR and radial overcut of EDMed AISI D2 tool steel by RSM and GRA coupled with PCA. Int J Adv Manuf Technol 68:591–605

    Article  Google Scholar 

  39. Kavimani V, Rajesh R, Rammasamy D, Selvaraj NB, Yang T, Prabakaran B et al (2017) Electrodeposition of r-GO/SiC nano-composites on magnesium and its corrosion behavior in aqueous electrolyte. Appl Surf Sci 424:63–71

    Article  CAS  Google Scholar 

  40. Chinnaiyan P, Jeevanantham AK (2014) Multi-objective optimization of single point incremental sheet forming of AA5052 using Taguchi based grey relational analysis coupled with principal component analysis. Int J Precis Eng Manuf 15:2309–2316

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Kavimani.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kavimani, V., Prakash, K.S., Thankachan, T. et al. WEDM Parameter Optimization for Silicon@r-GO/Magneisum Composite Using Taguchi Based GRA Coupled PCA. Silicon 12, 1161–1175 (2020). https://doi.org/10.1007/s12633-019-00205-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12633-019-00205-6

Keywords

Navigation