Open AccessNumerical computation for prediction of grain growth on stainless steel 316L
Author(s) -
Norasiah Muhammad,
Yupiter Harangan Prasada Manurung,
Muhd Faiz Mat,
Mohamad Syakir Abdul Ghani,
Marcel Graf,
Tom-Eric Adams,
Khairulnizam Kassim,
Shahriman Adenan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/834/1/012037
Subject(s) - computation , quenching (fluorescence) , fortran , materials science , constant (computer programming) , deformation (meteorology) , range (aeronautics) , metallurgy , ordinary differential equation , computer simulation , differential equation , mechanics , mathematics , composite material , computer science , mathematical analysis , algorithm , physics , optics , fluorescence , programming language , operating system
This research aims to predict the grain size growth using numerical computation. The material to be investigated is stainless steel 316L (SS316L). The mathematical modeling is derived into two cases, namely with the absence of precipitate (free growth) and with the presence of growing precipitates. The numerical computation involves ordinary differential equation using Runge-Kutta 4th order written with FORTRAN language. The experimental verification is carried out by using quenching and deformation dilatometers. It can be concluded that modified kinetic constant (Mo * ) should be defined differently for certain temperature range.