Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate
Zsolt Csaba Johanyák; Department of Information Technologies,Kecskemét College
Computing and Informatics, Tome 31 (2013) no. 6, / Harvested from Computing and Informatics
Melt volume-flow rate (MVR) is one of the most important quality indicators of composite materials, which depends on the proportion of the component materials. This paper reports the development of a low complexity fuzzy model that describes the relation between percentage amount of multiwall carbon nanotube (MWCNT), acrylonitrile-butadiene-styrene (ABS), polycarbonate (PC) and MVR of the resulting composite. The rule base was generated from a sample data set obtained from experiments by the rule base extension using default set shapes (RBE-DSS) method, and the applied fuzzy inference technique was the least squares method based fuzzy rule interpolation (LESFRI). The resulting model was validated against a separate test data set as well, and it was compared to a fuzzy model generated by a traditional commercial software tool.
Publié le : 2013-11-15
Classification:  Melt volume rate, fuzzy modeling, LESFRI, RBE-DSS,  68T37, 03B52, 03E72
@article{cai1974,
     author = {Zsolt Csaba Johany\'ak; Department of Information Technologies,Kecskem\'et College},
     title = {Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate},
     journal = {Computing and Informatics},
     volume = {31},
     number = {6},
     year = {2013},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai1974}
}
Zsolt Csaba Johanyák; Department of Information Technologies,Kecskemét College. Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate. Computing and Informatics, Tome 31 (2013) no. 6, . http://gdmltest.u-ga.fr/item/cai1974/