论文标题
通过其结构参数优化扩大声子晶体的带隙
Widening the bandgap of phonon crystal through its structure parameter optimization
论文作者
论文摘要
当今世界上对可再生能源的需求不断增长，资源短缺一直在刺激研究人员探索从浪费的热源中提取能量的手段。热电材料可以将热能直接转换为电能，反之亦然。在本文中，已经提出并表征了一个声子晶体结构，以研究其带隙的幅度以及对导热率的影响，从而可以提高热电材料的效率。本文的新颖性是已提出的声子晶体结构，也是研究声子晶体结构不同维度参数对带隙幅度的影响的方法。 语音晶体带隙由COMSOL软件模拟，然后通过其他文献结果进行验证。基于经过验证的仿真模型，从comsol软件仿真开发了回归参数模型。 该模型用于从输入设计参数中预测声子晶体结构的带隙的大小，在这些参数中，可以分析设计参数及其相互作用的灵敏度。可以根据回归参数模型为最大的带隙幅度优化设计参数。优化结果表明，带隙的大小有显着改善。
The increasing demand for renewable energy and shortage of resources in today's world has been stimulating researchers to explore means for the extraction of energy from wasted heat sources. Thermoelectric materials can convert thermal energy directly into electric energy and vice versa. In this paper, a phonon crystal structure has been proposed and characterized to study its bandgap magnitude and the effect on the thermal conductivity which could increase the efficiency of the thermoelectric materials. The novelty of this paper is the phonon crystal structure that has been proposed and the method to study the effects of different dimensional parameters of the phonon crystal structure on the bandgap magnitude. The phonon crystal bandgap is simulated by the COMSOL software and then validated with other literature results. Based on the validated simulation model, a regression parameter model is developed from the COMSOL software simulation. The model is used to predict the magnitude of the bandgap of the phonon crystal structure from input design parameters where the sensitivity of the design parameters and their interactions can be analysed. The design parameters can be optimized for the biggest bandgap magnitude based on the regression parameter model. The optimization results show a significant improvement in the magnitude of the bandgap.
