Optimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Sample number</td><td class="align_center">4</td><td class="align_center">5</td><td class="align_center">6</td><td class="align_center">17</td><td class="align_center">21</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Measured value (degradation temperature °C)</td><td class="align_center">479.36</td><td class="align_center">479.73</td><td class="align_center">480.20</td><td class="align_center">485.42</td><td class="align_center">490</td></tr><tr><td class="align_left">Predicted value (degradation temperature °C)</td><td class="align_center">478.60</td><td class="align_center">479.12</td><td class="align_center">479.40</td><td class="align_center">485.26</td><td class="align_center">491.66</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Experimental and predicted degradation temperature for test samples.

International Journal of Polymer Science

tab6

Table 6

Table 6: Optimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks 