柔性多孔传感聚合物泡孔和导电网络结构的设计、制备及调控

1）设计多种结构（单峰、双峰等）和尺寸（微米、微/纳米、纳米）的泡孔，提出制备新方法，通过深入探讨这些泡孔结构和尺寸对传感器电性能的影响，以揭示提高其输出性能、灵敏度、循环稳定性和降低其导电逾渗值的机理，为对泡孔的结构、尺寸和分布等进行优化，对不同泡孔结构进行组合与排布以提高传感器性能提供基础。.2）采用注塑微孔发泡制备未发泡皮层-发泡层（细小泡孔）-发泡层（较大泡孔）多层次梯度多孔结构的柔性材料，尤其采用注射压缩微孔发泡制备泡孔结构较均匀和导电网络结构较致密、稳定的多孔柔性材料，这有助于低成本、规模化制备大面积、集成的柔软压力传感器。.3）研究发泡阶段泡孔长大产生的拉伸和体积排阻效应，特别是注塑微孔发泡和注射压缩微孔发泡过程中流场、温度场和压力场对碳纳米管与石墨烯杂化填料的剥离、分散和排列的影响，分析杂化填料的三维导电网络结构的形成及其机理，探索能提高导电网络结构协同效应的优化参数。

1) The cells with several structures (mono-modal and bi-modal cell structures, and so on) and different sizes (micron, micro/nano, nano) are designed, and the novel methods are developed for fabricating them. The effects of these cell structures and sizes on the electrical performance of the sensors are deeply investigated, and thus the mechanism for improving the output performance, sensitivity, and cycle stability of sensors and reducing their conductive percolation can be explored. These will provide a foundation for improving the output performance of sensors via the optimization of the cell structure, size, and distribution, and by assembling and arranging the cells with different structures..2) The flexible porous polymers with a multi-level gradient structure (unfoamed skin layer-foamed layer with tiny cells-foamed layer with larger cells) are fabricated by microcellular injection molding. And the microcellular injection-compression molding is employed to fabricate the flexible porous polymers with a more uniform cell structure and more compact and stable conductive network structure. These facilitate the low-cost and large-scale fabrication of large-area and integrated flexible pressure sensors..3) The effects of following factors on the exfoliation, dispersion and alignment of carbon nanotubes-graphene hybrid nanofillers are investigated. The bubble growth-induced stretching and volume exclusion, especially the flow, temperature and pressure fields in both microcellular injection molding and microcellular injection-compression molding. The formation and its mechanism for the 3D conductive network structure of the hybrid nanofillers are analyzed, and the optimization parameters for improving the synergistic effects of the hybrid nanofillers conductive network structure are explored.