Widening the bandgap of phonon crystal through its structure parameter optimization

TL;DR

This paper proposes a novel phonon crystal structure and uses simulation and regression modeling to optimize its parameters, significantly increasing the bandgap magnitude to enhance thermoelectric efficiency.

Contribution

It introduces a new phonon crystal structure and a method to optimize its parameters for larger bandgap magnitudes using simulation and regression analysis.

Findings

Simulated phonon crystal bandgap validated with literature.

Regression model predicts bandgap from design parameters.

Optimization yields significantly larger bandgap.

Abstract

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.