<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cong, Chaonan</style></author><author><style face="normal" font="default" size="100%">Yongqiang Chen</style></author><author><style face="normal" font="default" size="100%">Huang, Zhuping</style></author><author><style face="normal" font="default" size="100%">Bai, Shulin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A micromechanics model to predict effective thermal conductivity of rGO/MMT/polymer composites</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Applied PhysicsJournal of Applied PhysicsJournal of Applied Physics</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J Appl Phys</style></alt-title><short-title><style face="normal" font="default" size="100%">J Appl PhysJ Appl Phys</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">functionalization</style></keyword><keyword><style  face="normal" font="default" size="100%">mechanical-properties</style></keyword><keyword><style  face="normal" font="default" size="100%">nanocomposites</style></keyword><keyword><style  face="normal" font="default" size="100%">Reduced Graphene Oxide</style></keyword><keyword><style  face="normal" font="default" size="100%">reinforcement</style></keyword><keyword><style  face="normal" font="default" size="100%">resin</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Apr 21</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">15</style></number><volume><style face="normal" font="default" size="100%">129</style></volume><pages><style face="normal" font="default" size="100%">155108</style></pages><isbn><style face="normal" font="default" size="100%">0021-89791089-7550</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">In recent years, enhanced thermal conductive properties of polymer composites filled with reduced graphene oxide (rGO) have been studied for diverse applications. However, rGO fillers tend to form aggregates, making it difficult to reach the maximum enhancement through the use of rGO. Experiments have shown that the hydrogen bond between rGO and montmorillonite (MMT) can lead to a stable dispersion of rGO with the result of improving the effective thermal conductivity (ETC) of the composite. However, the mechanisms of this phenomenon are not yet well known. In this work, a micromechanics-based method is proposed to provide an analytical expression of the ETC of rGO/MMT/polymer composites. The predictions are in good agreement with the experimental data, demonstrating the effectiveness of the proposed framework. Also, the effect of the orientation of the fillers is investigated, which useful to determine the optimal orientation and filling ratio to meet various requirements in the material performance design and preparation of rGO/MMT/polymer composites.</style></abstract><accession-num><style face="normal" font="default" size="100%">WOS:000642203700002</style></accession-num><notes><style face="normal" font="default" size="100%">Rq1ukTimes Cited:1Cited References Count:45</style></notes><section><style face="normal" font="default" size="100%">155108</style></section><auth-address><style face="normal" font="default" size="100%">Peking Univ, Coll Engn, Dept Mech &amp;amp; Engn Sci, Beijing 100871, Peoples R ChinaPeking Univ, Coll Engn, Dept Mat Sci &amp;amp; Engn, CAPT HEDPS LTCS, Beijing 100871, Peoples R China</style></auth-address></record></records></xml>