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Computational annealing of simulated unimodal and bimodal networks

机译:模拟单峰和双峰网络的计算退火

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A conjugate gradient Monte Carlo algorithm was used to simulate the annealing of two and three dimensional end-linked unimodal and bimodal polydimethylsiloxane networks. Equilibrium is satisfied at every crosslink during network energy minimization resulting in distinct differences in network characteristics from classical assumptions. Annealed unimodal networks were found to retain the uniformly dispersed arrangement of crosslinks generated during the crosslinking algorithm. Radial distribution functions of chain vector lengths for various unimodal systems show a shift in the mean chain length from the rms length prior to annealing to shorter lengths upon annealing. Short chains in bimodal networks cluster during the annealing process in agreement with experimental investigations of short chain agglomeration in the literature. This work provides the first predictions of bimodal chain network clustering via simulated network formation and demonstrates the critical role of network annealing in determining the initial configurations of deformable elastomeric networks. This information is extremely useful in the development of accurate constitutive models of bimodal networks.
机译:共轭梯度蒙特卡洛算法用于模拟二维和三维末端连接的单峰和双峰聚二甲基硅氧烷网络的退火。在网络能量最小化的过程中,每个交联点都满足平衡要求,这导致网络特性与经典假设存在明显差异。发现退火的单峰网络保留了交联算法期间生成的交联的均匀分散排列。各种单峰系统的链向量长度的径向分布函数显示,平均链长从退火前的rms长度到退火时的较短长度有所变化。双峰网络中的短链在退火过程中成簇,这与文献中短链团聚的实验研究一致。这项工作通过模拟网络的形成提供了双峰链网络聚类的第一个预测,并证明了网络退火在确定可变形弹性体网络的初始构型中的关键作用。该信息对于开发双峰网络的准确本构模型非常有用。

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