A paint has to be regarded as a complex mixture of mutually interacting components, usually formulated for a specific application condition. The purpose of this work was an investigation of all influences of selected factors on mechanical and rheological properties (responses) of the high solid coating and to find the optimal formulation through neural network model. This approach allows to investigate each quality parameter (response) separately or all of them together, according to the variations of each component (factor) of the formulation. On the basis of the model properties are known for every formulation i.e. combination of factors within the area determined by the selected range of factors.

Rights

URN

URN:NBN:SI:DOC-QRVMLG0D

COBISS ID

17734917

Added

22.07.2011

Metadata

Citation

APA:

Leskovšek, Nevenka, Tušar, Livija, Tušar, Marjan (1995). Uporaba načrtovanja poskusov in modeliranja z nevronsko mrežo pri določitvi recepture premaza z optimalnimi reološkimi in mehanskimi lastnostmi, volume 29, issue 1/2. URN:NBN:SI:DOC-QRVMLG0D from http://www.dlib.si

MLA:

Leskovšek, Nevenka, Tušar, Livija, Tušar, Marjan. Uporaba načrtovanja poskusov in modeliranja z nevronsko mrežo pri določitvi recepture premaza z optimalnimi reološkimi in mehanskimi lastnostmi. Inštitut za kovinske materiale in tehnologije
Železarna Jesenice
Železarna Ravne
Železarna Štore, 1995.
<http://www.dlib.si/?URN=URN:NBN:SI:DOC-QRVMLG0D>

Kovine zlitine tehnologije
1992-1999
(Assembly record)

prejšnja

Interakcije med polikloroprenom in poliuretanskimi kationomeri
1995
(Previous issue)