Fujiwara Nobuyuki, Nishida Takahiro, Yamamoto Hideki
Department of Chemical, Energy and Environmental Engineering, Faculty of Environmental and Urban Engineering, Kansai University, Japan.
Heliyon. 2019 Dec 12;5(12):e02833. doi: 10.1016/j.heliyon.2019.e02833. eCollection 2019 Dec.
In the preparation of polymer-based functional materials, it is often difficult to express the desired function using a single substance. Thus, multiple materials are often combined to achieve a desired function using methods such as the addition of a filler or lamination. However, when materials are mixed using a filler, the transparency of the polymer decreases. Therefore, a prediction indicator for transparency is needed. In this study, we focused on using the Hansen solubility parameter (HSP) as a predictor of transparency. The value of , which is the dispersion force term of the solubility parameter, is considered to be related to the refractive index of the solvent. Silica particles were selected as model particles, and the HSP value was determined. We examined the possibility of evaluating the transparency in a solvent containing silica particles based on the HSP value, and our results indicated that a smaller difference in between the particles and solvent corresponded with a higher transparency. The HSP value could be used as an index for evaluation of the dispersibility and solubility of the polymer. By using HSP theory in the material design of composite materials, it is thus considered possible to use the same index to simultaneously evaluate the dispersibility evaluation and predict the transparency of the filler.
在制备聚合物基功能材料时，通常很难用单一物质来实现所需功能。因此，人们常常通过添加填料或层压等方法将多种材料组合起来以实现所需功能。然而，当使用填料混合材料时，聚合物的透明度会降低。因此，需要一个透明度预测指标。在本研究中，我们着重使用汉森溶解度参数（HSP）作为透明度的预测指标。溶解度参数的色散力项的值被认为与溶剂的折射率有关。选择二氧化硅颗粒作为模型颗粒，并测定了HSP值。我们研究了基于HSP值评估含有二氧化硅颗粒的溶剂中透明度的可能性，结果表明颗粒与溶剂之间的差值越小，透明度越高。HSP值可用作评估聚合物分散性和溶解性的指标。因此，通过在复合材料的材料设计中运用HSP理论，有可能使用同一指标同时评估分散性并预测填料的透明度。
