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

Neeraj Sharma (), Kamal Kumar (), Tilak Raj and Vinod Kumar
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Neeraj Sharma: YMCA University of Science and Technology
Kamal Kumar: PEC University of Technology
Tilak Raj: YMCA University of Science and Technology
Vinod Kumar: M.M. University

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 1, No 12, 139-146

Abstract: 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 $$\hbox {L}_{9}$$ 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 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-016-1236-8

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