论文部分内容阅读
脂肪族聚碳酸酯的分子量表征问题可以从GPC数据阳特性粘数较迅速可靠地解决,同时求出其数均,粘均,重均,动力学平均分子量,及其分子量—特性粘数关联参数。为此须对以往方法作较大的改进,其关键是用迭代法进行特性粘数(dL/g)与分子量的关联。如此对聚碳酸亚丙酯和碳酸亚乙酯分别得到以下关系: ln(η)=-6.671+0.328ln(?)v+0.0186(ln(?)v)~2 (25℃,THF) (η)=6.64×10~(-5)(?)v~(0.76) (25℃, CHCl_3)
The molecular weight characterization of aliphatic polycarbonates can be solved more quickly and reliably from the GPC data, and its number average, viscosity average, weight average, kinetic average molecular weight, and its molecular weight - intrinsic viscosity related parameters . To do this, we must greatly improve the previous methods. The key point is to use the iterative method to correlate the intrinsic viscosity (dL / g) with the molecular weight. As a result, the following relationships were obtained for poly (propylene carbonate) and ethylene carbonate: ln (η) = - 6.671 + 0.328ln (?) V + 0.0186 (ln (?) V) ) = 6.64 × 10 ~ (-5) (?) V ~ (0.76) (25 ℃, CHCl_3)