Aqueous sol-gel synthesis route for the preparation of YAG : Evaluation of sol-gel process by mathematical regression model

Yttrium aluminium garnet (Y3Al5O12, YAG) polycrystalline samples have been prepared by a simple aqueous sol-gel methodology. The influence of nineteen sol-gel processing variables on the formation of YAG has been investigated. Effects of different fabrication parameters on the phase purity and morph...

Full description

Saved in:
Bibliographic Details
Published in:Journal of sol-gel science and technology 2007-03, Vol.41 (3), p.193-201
Main Authors: KATELNIKOVAS, A, BARKAUSKAS, J, IVANAUSKAS, F, BEGANSKIENE, A, KAREIVA, A
Format: Article
Language:English
Subjects:
Aluminum
Chemistry
Colloidal gels. Colloidal sols
Colloidal state and disperse state
Exact sciences and technology
Gelation
General and physical chemistry
Heat treatment
Parameters
Regression analysis
Regression models
Scanning electron microscopy
Sol-gel processes
X ray powder diffraction
Yttrium
Yttrium-aluminum garnet
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Yttrium aluminium garnet (Y3Al5O12, YAG) polycrystalline samples have been prepared by a simple aqueous sol-gel methodology. The influence of nineteen sol-gel processing variables on the formation of YAG has been investigated. Effects of different fabrication parameters on the phase purity and morphological properties of the compounds were studied by energy-dispersive spectrometry (EDS), X-ray powder diffraction (XRD) analysis and scanning electron microscopy (SEM). The parameters of the sol-gel processing such as pH of starting solution, concentration and nature of complexing ligand, temperature and duration of gelation, powder rehomogenization during annealing, duration and temperature of the final heat treatment were found to be the most significant. For the evaluation and verification of the experimental results the Brandon's model of a multiple regression was successfully used.
ISSN:0928-0707
1573-4846
DOI:10.1007/s10971-006-9002-6