Research on Mechanical Properties of Different Network Hydrogels in Agricultural Sensors
本文利用能量最小化原则,使用不同分子量的PEO SN和PAA SN两种单网络水凝胶聚合成最优的PEO-PAA DN水凝胶结构模型,对双网络水凝胶的力学性能进行研究。当PAA SN凝胶在压缩了30次之后,其恢复效率值已经降低到30%。PAA/Agar和PAA/PVA双网络水凝胶在被压缩了30次之后分别下降到61%和55%。与SN水凝胶、DN水凝胶相比,TN水凝胶在被压缩30次之后仍然保持有90%以上的压缩恢复效率。值得注意的是,30次循环压缩的测试表明,在强压缩之后TN水凝胶没有发生明显的塑性变形和强度退化。即使在极高的压力下释放压力后还能快速地恢复原有的形状。它的恢复性能归功于化学和物理交联的三网络的可逆特性。特别是TN水凝胶中的PVA和Agar。This paper utilizes the principle of energy minimization to polymerize two single-network hydrogels, PEO SN and PAA SN, with different molecular weights into an optimal PEO-PAA DN hydrogel structural model, and investigates the mechanical properties of the double-network hydrogels. After 30 compressions, the recovery efficiency of the PAA SN gel drops to 30%. The recovery efficiencies of PAA/Agar and PAA/PVA double-network hydrogels decrease to 61% and 55%, respectively, after 30 compressions. Compared to SN and DN hydrogels, TN hydrogels maintain a compression recovery efficiency of over 90% after 30 compressions. Notably, the 30-cycle compression test indicates that TN hydrogels do not exhibit significant plastic deformation or strength degradation even after strong compression. They can quickly return to their original shape after being subjected to extremely high pressure. The recovery performance of TN hydrogels is attributed to the reversible characteristics of the chemically and physically crosslinked triple-network structure. Particularly, the PVA and Agar in TN hydrogels play a crucial role.
Authors
- 俊杰 童
Publication Details
- Journal
- Hans Journal of Agricultural Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.12677/hjas.2025.157113
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00