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Monte Carlo simulation of polymer welding

机译:聚合物焊接的蒙特卡洛模拟

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Monte Carlo Modelling of random polymer chains, course grained onto a cubic F lattice, provides the ability to monitor the long range relaxation processes and the dynamic parameters of chains up to 400 units long. The model, described and verified by Haire et al. (Haire KR, Carver TJ, Windle AH. A Monte Carlo model for dense polymer systems and its interlocking with molecular dynamics simulation. Computational and Theoretical Polymer Science 2000; in press), is here applied to the study of molecular parameters in the vicinity of different types of surface and also to the process of polymer welding, whereby adhesion between two adjacent surfaces is achieved by the interpenetration of chains which are across the surface. The model demonstrates that a surface distorts the conformation of chains adjacent to it to give an oblate molecular envelope, that the concentration of vacant sites and chain ends increases near to the surface and that the density of points representing the centres of mass of the chains increases in the sub-surface regions. These results confirm earlier predictions and provide additional confidence in the model. Modelling of the welding process leads to the parameter intrinsic weld time, t_w, which is the time from initial perfect contact of the surfaces to the achievement of a weld within which the chain conformation is indistinguishable from the bulk. After the initial period in which the mating surfaces roughen, the welding proceeds according to the t~(1/4) law predicted by reptation theory. The time to a given level of interdiffusion across the boundary is proportional to the chain length l, a comparatively weak dependence, while t_w is proportional to l~3, a strong dependence. This is the same dependence on length as for the relaxation time of the chain end-to-end vectors. In fact, the agreement between the relaxation time, measured on the model of the bulk, and t_w is surprisingly close, at least for the monodisperse polymers investigated here.
机译:蒙特卡洛(Monte Carlo)对随机聚合物链进行建模,将其粗化到立方F晶格上,可以监视远距离弛豫过程以及长达400单位长的链的动态参数。该模型由Haire等人描述和验证。 (Haire KR,Carver TJ,Windle AH。用于稠密聚合物系统的蒙特卡洛模型及其与分子动力学模拟的互锁。计算和理论高分子科学2000;印刷中)在这里用于研究邻域附近的分子参数。不同类型的表面,也涉及聚合物焊接的方法,其中两个相邻表面之间的粘合力是通过贯穿该表面的链条的互穿而实现的。该模型表明,表面扭曲了与其相邻的链的构形,从而形成了扁圆形的分子包膜;空位和链端的浓度在表面附近逐渐增加,并且代表链质心的点的密度不断增加在地下区域。这些结果证实了较早的预测,并为模型提供了更多的信心。焊接过程的建模导致参数固有焊接时间t_w,t_w是从表面初始完美接触到实现链构象与整体无法区分的焊接所需的时间。在交配表面变粗糙的初始阶段之后,焊接将根据旋转理论预测的t〜(1/4)定律进行。跨边界达到给定水平的相互扩散的时间与链长l成正比,这是一个相对弱的依赖性,而t_w与l〜3成正比,是一个强依赖性。对长度的依赖与对链端到端向量的弛豫时间的依赖相同。实际上,至少对于本文研究的单分散聚合物,在体积模型上测量的弛豫时间与t_w之间的一致性令人惊讶地接近。

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