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Journal of Intelligent Manufacturing

, Volume 30, Issue 1, pp 139–146 | Cite as

Porosity exploration of SMA by Taguchi, regression analysis and genetic programming

  • Neeraj SharmaEmail author
  • Kamal Kumar
  • Tilak Raj
  • Vinod Kumar
Article

Abstract

Porosity plays a vital role in the field of bio-medical engineering of implantations i.e. orthopedic and orthodontics. Shape memory alloys exhibit a greater strength with a higher porosity. The strength of porous shape memory alloys were found similar to the strength of bones. In the present research, NiTi SMA is fabricated by powder metallurgy process. The processing parameters of sintering and compaction (i.e. compaction pressure, sintering temperature and sintering time) play an important role in the porosity investigation of SMA. Taguchi’s method based \(\hbox {L}_{9}\) orthogonal array was selected for the planning of experiments. Sintering temperature and sintering time were the significant process parameters as compared to compaction pressure. Regression coefficients and equation was derived by use of regression analysis. Further this equation was solved with the help of genetic programming and results of both (i.e. Taguchi’ method and genetic programming) were compared to find the maximum porosity. The maximum porosity that can be achieved is 56 % and the confirmation experiments were performed at 95 % confidence level.

Keywords

NiTi SMA Taguchi’s method Regression analysis Genetic programming 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringYMCA University of Science and TechnologyFaridabadIndia
  2. 2.Department of Mechanical EngineeringPEC University of TechnologyChandigarhIndia
  3. 3.Department of Mechanical EngineeringD.A.V. UniversityJalandharIndia
  4. 4.Department of Mechanical EngineeringM.M. UniversitySadopurIndia

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