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Multi-objective Optimization Using Taguchi’s Loss Function-Based Principal Component Analysis in Electrochemical Discharge Machining of Micro-channels on Borosilicate Glass with Direct and Hybrid Electrolytes

  • Jinka RanganayakuluEmail author
  • P. V. Srihari
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Machining of hard and brittle materials like borosilicate glass has imposed challenges due to its low machinability. Among various non-traditional machining methods, electrochemical discharge machining (ECDM) or spark-assisted chemical engraving (SACE) is proved as a potential method to machine such low machinable and non-conducting engineering materials. ECDM combines the features of electric discharge machining (EDM) and electrochemical machining (ECM) to machine electrically non-conducting materials. In the present study, direct (NaOH) and hybrid (NaOH + KOH) electrolytes were used to machine micro-channels on borosilicate glass with in-house developed prototype constant velocity tool-feed ECDM experimental set-up. The experiments were conducted based on L9 orthogonal array with electrolyte concentration, voltage and duty factor as control factors. The overcut (OC) and heat-affected zones (HAZ) were considered as responses. Taguchi’s loss function-based principal component analysis (PCA) was utilized for simultaneous optimization of responses. Analysis of variance (ANOVA) was performed, and electrolyte concentration was found as the most significant factor for both the cases. Confirmation tests with three replications were conducted at optimum factor levels and validated experimental results.

Keywords

ECDM Borosilicate glass Hybrid electrolyte Principal component analysis ANOVA 

Notes

Acknowledgements

The authors are grateful to Dr. H. N. Narasimha Murthy, Professor and Head, and Dr. Krupashankara M.S., Professor and PG Dean (non-circuit) of Mechanical Engineering Department, R. V. College of Engineering, for their encouragement and support.

References

  1. 1.
    Wuthrich, R., Abou Ziki, J.D.: Micromachining Using Electrochemical Discharge Phenomenon, 2nd edn. William Andrew. ISBN 978-0-323-24142-7 (2015)Google Scholar
  2. 2.
    Wuthrich, R., Spaelter, U., Wu, Y., Bleuler, H.: A systematic characterization method for gravity-feed micro-hole drilling in glass with spark assisted chemical engraving (SACE). J. Micromech. Microeng. 16, 1891–1896 (2006)CrossRefGoogle Scholar
  3. 3.
    Mousa, M., Allagui, A., Ng, H.D., Wuthrich, R.: The effect of thermal conductivity of the tool electrode in spark-assisted chemical engraving gravity-feed micro-drilling, J. Micromech. Microeng. 19, 015010, 7 p (2009)Google Scholar
  4. 4.
    Han, M.S., Min, B.K., Jo Lee, S.: Modelling gas film formation in electrochemical discharge machining processes using a side-insulated electrode. J. Micromech. Microeng. 18, 045019 (2008)CrossRefGoogle Scholar
  5. 5.
    Mallik, B., Sarkar, B.R., Doli, B., Bhattachryya, B.: Multi criteria optimization of electrochemical discharge micro-machining process during micro-channel generation on glass, Appl. Mech. Mater. 592–594, 525–529 (2014)Google Scholar
  6. 6.
    Jonathan, W., Amol, J.: ECDM methods for fluidic interfacing through thin glass substrates and the formation of spherical microcavities. J. Micromech. Microeng. 17, 403–409 (2007)CrossRefGoogle Scholar
  7. 7.
    Zhi-Ping, Z., Wei-Hsin, C., Fuang-Yuan, H., Biing-Hwa, Y.: 3D micro structuring of Pyrex glass using the electrochemical discharge machining process. J. Micromech. Microeng. 17, 960–966 (2007)CrossRefGoogle Scholar
  8. 8.
    Sanjay, K.C., Venkateswara Rao, P.: The drilling of Al2O3 using a pulsed DC supply with rotary abrasive electrode by the electrochemical discharge process. Int. J. Adv. Manuf. Technol. 39, 633–641 (2008)CrossRefGoogle Scholar
  9. 9.
    Chao-Ton, S., Lee-Ing, T.: Multi-response robust design by principal component analysis. Total Qual. Manag. 8(6), 409–416 (1997)CrossRefGoogle Scholar
  10. 10.
    Antony, J.: Multi-response optimization in industrial experiments using Taguchi’s quality loss function and principal component analysis. Qual. Reliab. Eng. Int. 16, 3–8 (2000)CrossRefGoogle Scholar
  11. 11.
    Basanta Kumar, B., Vinod, Y.: Experimental modeling and multi-objective optimization of traveling wire electrochemical spark machining (TW-ECSM) process. J. Mech. Sci. Tech. 27(8), 2467–2476 (2013)CrossRefGoogle Scholar
  12. 12.
    Ranganayakulu, J., Somashekhar, S.H., Lijo, P.: Parametric analysis and a soft computing approach on material removal rate in electrochemical discharge machining. Int. J. Manuf. Technol. Manag. 24(1/2/3/4), 23–39 (2011)Google Scholar
  13. 13.
    Sanjay, K.C., Venkateswara Rao., P.: Machining of SiC by ECDM process using different electrode configurations under the effect of pulsed DC. Int. J. Manuf. Technol. Manag. 28(1/2/3), 39–56 (2014)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringR. V. College of EngineeringBengaluruIndia

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