Table of Content

Open Access

ARTICLE

Comparison of New Formulations for Martensite Start Temperature of Fe-Mn-Si Shape Memory Alloys Using Geneting Programming and Neural Networks


Computers, Materials & Continua 2009, 10(1), 65-96. https://doi.org/10.3970/cmc.2009.010.065

Abstract

This work proposed an alternative formulation for the prediction of martensite start temperature (Ms) of Fe-Mn-Si shape memory alloys (SMAs) depending on the various compositions and heat treatment techniques by using Neural Network (NN) and genetic programming (GP) soft computing techniques. The training and testing patterns of the proposed NN and GP formulations are based on well established experimental results from the literature. The NN and GP based formulation results are compared with experimental results and found to be quite reliable with a very high correlation (R2=0.955 for GEP and 0.999 for NN).

Keywords

Martensite start temperature, FeMnSi alloys, Shape memory effect, Genetic Programming, Neural Network.

Cite This Article

. , "Comparison of new formulations for martensite start temperature of fe-mn-si shape memory alloys using geneting programming and neural networks," Computers, Materials & Continua, vol. 10, no.1, pp. 65–96, 2009.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1452

    View

  • 1385

    Download

  • 0

    Like

Share Link

WeChat scan