Urban Magdalena, Strankowski Michał
Polymer Technology Department, Chemical Faculty, Gdańsk University of Technology,11/12 Narutowicza Street, 80233 Gdańsk, Poland.
Materials (Basel). 2017 Sep 14;10(9):1083. doi: 10.3390/ma10091083.
Intelligent materials, such as memory shape polymers, have attracted considerable attention due to wide range of possible applications. Currently, intensive research is underway, in matters of obtaining memory shape materials that can be actuated via inductive methods, for example with help of magnetic field. In this work, an attempt was made to develop a new polymer composite-polyurethane modified with graphene nanoplates and ferromagnetic iron oxides-with improved mechanical properties and introduced magnetic and memory shape properties. Based on the conducted literature review, gathered data were compared to the results of similar materials. Obtained materials were tested for their thermal, rheological, mechanical and shape memory properties. Structure of both fillers and composites were also analyzed using various spectroscopic methods. The addition of fillers to the polyurethane matrix improved the mechanical and shape memory properties, without having a noticeable impact on thermal properties. As it was expected, the high content of fillers caused a significant change in viscosity of filled prepolymers (during the synthesis stage). Each of the studied composites showed better mechanical properties than the unmodified polyurethanes. The addition of magnetic particles introduced additional properties to the composite, which could significantly expand the functionality of the materials developed in this work.
智能材料,如记忆形状聚合物,因其广泛的潜在应用而备受关注。目前,在获取可通过感应方法(例如借助磁场)驱动的记忆形状材料方面,正在进行深入研究。在这项工作中,尝试开发一种新型聚合物复合材料——用石墨烯纳米片和铁磁氧化铁改性的聚氨酯——以改善其机械性能,并引入磁性和记忆形状特性。基于所进行的文献综述,将收集到的数据与类似材料的结果进行了比较。对所获得的材料进行了热性能、流变性能、机械性能和形状记忆性能测试。还使用各种光谱方法分析了填料和复合材料的结构。向聚氨酯基体中添加填料改善了机械性能和形状记忆性能,而对热性能没有明显影响。正如预期的那样,高含量的填料导致填充预聚物在合成阶段的粘度发生显著变化。每种研究的复合材料都表现出比未改性聚氨酯更好的机械性能。磁性颗粒的添加为复合材料引入了额外的性能,这可以显著扩展这项工作中开发的材料的功能。