Author(s):
1. Rajko Radovanović, Russian Federation
2. Oskar Bera, Serbia
3. Mirjana Jovičić, Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad, Serbia
4. Jelena Pavličević, Serbia
5. Branka Pilić, Serbia
6. Nevena Vukic, University of Novi Sad, Faculty of Technology, Serbia, Serbia
7. Radmila Radicevic, University of Novi Sad, Faculty of Technology, Serbia, Serbia

Abstract:
The application of PVC floor coverings is strongly connected with their end-use properties which depend on the composition and processing conditions. It is very difficult to estimate the proper influence of production parameters on the characteristics of PVC floor coverings due to their complex composition and various preparation procedures. In this work, the effect of different processing variables (such as time of bowling, temperature of bowling and composition of PVC plastisol) on the mechanical properties of PVC floor coverings is studied. The influence of different input parameters on the mechanical properties was successfully determined using artificial neural network with optimized number of hidden neurons. Garson and Yoon models were applied to calculate and describe variable contributions in artificial neural networks.

Key words:
PVC floor covering,mechanical properties,artificial neural network

Thematic field:
SYMPOSIUM A - Science of matter, condensed matter and physics of solid states

Date of abstract submission:
14.06.2015.

Conference:
Contemporary Materials 2015 - Savremeni Materijali

Applied paper from author