Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate

Year, pages: 2013, 845 - 857

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.

Johanyák, Z. 2013. Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate. In Computing and Informatics, vol. 32, no.4, pp. 845-857. 1335-9150.

Johanyák, Z. (2013). Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate. Computing and Informatics, 32(4), 845-857. 1335-9150.