TITLE

MODELING THE THERMAL STABILITY OF THE POLYDIMETHYLSILOXANES/SILICA GREEN COMPOSITES USING NEURAL NETWORKS

AUTHOR(S)
Nistor, Alexandra; Curteanu, Silvia; Lisa, Gabriela; Cazacu, Maria
PUB. DATE
August 2010
SOURCE
Environmental Engineering & Management Journal (EEMJ);Aug2010, Vol. 9 Issue 8, p1053
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents the development of artificial neural models for predicting the thermal stability of some polysiloxanes/silica composites obtained using an ecological solvent-free reaction. Four polydimethylsiloxane-α,ω co-diols with different molar masses have been prepared and reinforced with different contents of silica generated in situ by sol-gel technique. The resulted materials were investigated by thermogravimetric analysis (TGA). In neural modeling, the thermal stability of the polysiloxanes/silica composites was quantified by two temperatures (the initial temperatures of thermal degradation and the temperature corresponding to the maximum degradation rate), as function of reaction conditions: molecular mass of polydimethylsiloxane, concentration of the catalyst and ratio between the reagents. Two feed-forward neural networks were developed and tested, demonstrating the possibility of obtaining accurate results with relatively simple architecture of the networks.
ACCESSION #
55786638

 

Related Articles

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics