Construction of master sintering curve of ThO2 pellets using optimization technique
Author(s) -
Aditi Ray,
Joydipta Banerjee,
T.R.G. Kutty,
Arun Kumar,
Srikumar Banerjee
Publication year - 2012
Publication title -
science of sintering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 25
eISSN - 1820-7413
pISSN - 0350-820X
DOI - 10.2298/sos1202147r
Subject(s) - sintering , dilatometer , pellets , materials science , activation energy , sigmoid function , work (physics) , function (biology) , residual , composite material , thermodynamics , computer science , algorithm , physics , chemistry , machine learning , evolutionary biology , biology , thermal expansion , artificial neural network
Sintering kinetics and densification behavior of pure ThO2 have been studied using high temperature dilatometer experiments at constant rate of heating. Sintering activation energy has been determined by Wang and Raj method. Master sintering curve (MSC) for densification is a functional sintering model that describes densification under arbitrary time temperature excursion of a particular material during sintering. MSC for pure ThO2 has been constructed by fitting experimental relative density versus work of sintering data with modified sigmoid function. Five independent parameters of the fitting function are determined by Nelder-Mead optimization technique with the objective of minimizing fitting error in terms of mean residual square. A FORTRAN program has been developed for efficient construction of best converged master curve. It is shown that activation energy of pure ThO2 found by MSC approach is consistent with those obtained by other methods
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