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An Adaptive Neuro‐Fuzzy Inference System for Modeling Mechanical Properties of Tapioca Starch‐Poly(Lactic Acid) Nanocomposite Foams
Author(s) -
Lee Siew Yoong,
Hanna Milford A.,
Jones David D.
Publication year - 2008
Publication title -
starch ‐ stärke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.62
H-Index - 82
eISSN - 1521-379X
pISSN - 0038-9056
DOI - 10.1002/star.200700687
Subject(s) - nanocomposite , materials science , starch , lactic acid , composite material , compressibility , adaptive neuro fuzzy inference system , intercalation (chemistry) , fuzzy logic , thermodynamics , fuzzy control system , computer science , chemistry , organic chemistry , physics , artificial intelligence , biology , bacteria , genetics
Tapioca starch, poly(lactic acid) and Cloisite 30B nanocomposites foams, with clay contents of 1, 3, 5 and 7% (w/w), were prepared by a melt‐intercalation method. Multiple inputs single output models were developed to predict radial expansion ratio, unit density, bulk compressibility and spring index of the nanocomposite foams. An individual ANFIS model was developed for each mechanical property using clay content, temperature, pressure and torque as input parameters. All models preformed well with R 2 values > 0.71. All models had very low root mean squared error values.