Artificial neural networks modeling of mechanical property and microstructure evolution in the Tempcore process

Cetinel H., Ozyigit H., Ozsoyeller L.

COMPUTERS & STRUCTURES, vol.80, pp.213-218, 2002 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 80
  • Publication Date: 2002
  • Doi Number: 10.1016/s0045-7949(02)00016-0
  • Journal Name: COMPUTERS & STRUCTURES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.213-218
  • Keywords: reinforcing steel, artificial neural networks, Tempcore process, quenching, tempering, martensite
  • Dokuz Eylül University Affiliated: No

Abstract

In this study, the microstructures and the mechanical properties of steel bars treated by the Tempcore process have been investigated. In the Tempcore process, AISI 1020 steel bars of various diameters were used. In bars, unlike the self-tempering temperature and the extent of elongation, an increase in the amount of martensite was observed, which caused a consequential increase in yield and tensile strength as a function of quenching duration. The amounts of martensite, bainite. pearlite and the values of elongation, self-tempering temperature. yield and tensile strength could be obtained by a new and fast method. by using artificial neural networks. A PASCAL computer program has been developed for this study.