An Adaptive Neuro-Fuzzy Inference System for Modeling Mechanical Properties of Tapioca Starch-Poly(Lactic Acid) Nanocomposite Foams
نویسندگان
چکیده
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 meltintercalation 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 R2 values > 0.71. All models had very low root mean squared error values.
منابع مشابه
Preparation and characterization of tapioca starch-poly(lactic acid)-Cloisite NA<sup>+</sup> nanocomposite foams
Tapioca starch, poly(lactic acid), and Cloisite NA+ nanocomposite foams, with four clay contents (1, 3, 5, 7, wt %), were prepared by melt-intercalation method. Selected structural, thermal, physical, and mechanical properties were characterized using X-ray diffraction (XRD), scanning electron microscopy, differential scanning calorimetry, and an Instron universal testing machine, respectively....
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