Yan Shaoqiu, Tang Ying, Bi Gangping, Xiao Bowen, He Guotian, Lin Yuanchang
Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China.
Polymers (Basel). 2023 Mar 17;15(6):1494. doi: 10.3390/polym15061494.
Response surface methodology (RSM) and central composite design (CCD) were used to improve the preparation of carbon nanotube and graphene (CNT-GN)-sensing unit composite materials in this study. Four independent variable factors (CNT content, GN content, mixing time, and curing temperature) were controlled at five levels, and 30 samples were generated using the multivariate control analysis technique. On the basis of the experimental design, semi-empirical equations were developed and utilized to predict the sensitivity and compression modulus of the generated samples. The results reveal a strong correlation between the experimental and expected values of sensitivity and the compression modulus for the CNT-GN/RTV (room-temperature-vulcanized silicone rubber) polymer nanocomposites fabricated using different design strategies. The correlation coefficients for the sensitivity and compression modulus are R2 =0.9634 and R2=0.9115, respectively. The ideal preparation parameters of the composite in the experimental range include a CNT content of 1.1 g, a GN content of 1.0 g, a mixing time of 15 min, and a curing temperature of 68.6 °C, according to theoretical predictions and experimental findings. At 0~30 kPa, the CNT-GN/RTV-sensing unit composite materials may reach a sensitivity of 0.385 kPa and a compressive modulus of 601.567 kPa. This provides a new idea for the preparation of flexible sensor cells and reduces the time and economic cost of experiments.
本研究采用响应面法（RSM）和中心复合设计（CCD）来改进碳纳米管与石墨烯（CNT-GN）传感单元复合材料的制备。四个独立变量因素（碳纳米管含量、石墨烯含量、混合时间和固化温度）被控制在五个水平，通过多元控制分析技术生成了30个样本。基于实验设计，建立并利用半经验方程来预测所生成样本的灵敏度和压缩模量。结果表明，对于采用不同设计策略制备的CNT-GN/RTV（室温硫化硅橡胶）聚合物纳米复合材料，其灵敏度和压缩模量的实验值与预期值之间存在很强的相关性。灵敏度和压缩模量的相关系数分别为R2 =0.9634和R2=0.9115。根据理论预测和实验结果，在实验范围内该复合材料的理想制备参数包括碳纳米管含量1.1 g、石墨烯含量1.0 g、混合时间15分钟和固化温度68.6℃。在0~30 kPa时，CNT-GN/RTV传感单元复合材料的灵敏度可达0.385 kPa，压缩模量可达601.567 kPa。这为柔性传感器单元的制备提供了新思路，减少了实验的时间和经济成本。
