Abstract

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.

Keywords

MSC

68T37, 03B52, 03E72

Cite this article

@article{cai-111201,
  author  = {Zsolt Csaba Johanyák},
  title   = {Fuzzy Modeling of Thermoplastic Composites' Melt Volume Rate},
  journal = {Computing and Informatics},
  volume  = {32},
  number  = {4},
  pages   = {845--857},
  year    = {2013},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2013/4/fuzzy-modeling-of-thermoplastic-composites-melt-volume-rate/}
}
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