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  • Estimation of mechanical property degradation of poly(lactic acid) and flax fibre reinforced poly(lactic acid) bio-composites during thermal processing

    Author(s)
    Khanlou, Hossein Mohammad
    Woodfield, Peter
    Summerscales, John
    Francucci, Gaston
    King, Benjamin
    Talebian, Sepehr
    Foroughi, Javad
    Hall, Wayne
    Griffith University Author(s)
    Hall, Wayne
    Woodfield, Peter L.
    Year published
    2018
    Metadata
    Show full item record
    Abstract
    Thermal degradation and chemical degradation are among the key issues affecting mechanical properties and ultimately utilization of natural fibre reinforced polymer (NFRP) bio-composites. In our previous work, mathematical models were used to identify thermal processing boundaries and to recognize an optimized window for NFRP bio-composites. In this study, a correlation relating the tensile strength of flax/PLA bio-composite to the processing temperature history is proposed. For the first time, an existing linear model, which corresponds to the tensile strength of natural polymers and their degree of polymerization, has been ...
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    Thermal degradation and chemical degradation are among the key issues affecting mechanical properties and ultimately utilization of natural fibre reinforced polymer (NFRP) bio-composites. In our previous work, mathematical models were used to identify thermal processing boundaries and to recognize an optimized window for NFRP bio-composites. In this study, a correlation relating the tensile strength of flax/PLA bio-composite to the processing temperature history is proposed. For the first time, an existing linear model, which corresponds to the tensile strength of natural polymers and their degree of polymerization, has been combined with reaction kinetics to predict the tensile strength of NFRP bio-composites as a function of processing temperature history. In addition, a non-linear model has been proposed which shows a significant improvement for longer periods of time, compared with the linear model. The model is based on the underlying thermo-chemical degradation processes occurring during manufacture of NFRP bio-composites. The model is capable of predicting the tensile strength of the bio-composite within 10% error.
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    Journal Title
    Measurement
    Volume
    116
    DOI
    https://doi.org/10.1016/j.measurement.2017.11.031
    Subject
    Artificial intelligence
    Applied mathematics
    Materials engineering not elsewhere classified
    Mechanical engineering
    Publication URI
    http://hdl.handle.net/10072/382588
    Collection
    • Journal articles

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