Optimizing Material Choices for Flexible Pressure Sensors Driven by Triboelectric Nanogenerators

Abstract

This study shows the investigations on optimal dielectric material for self-powered flexible pressure sensors (SPFPSs) based on triboelectric nanogenerators (TENGs) using multiple criteria decision-making (MCDM) methods. Specifically, we utilized technique for order preference by similarity to ideal solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) techniques to identify potential dielectric materials. Several materials attributes, such as surface charge density, coefficient of friction, and dielectric constant, are examined to find out the best dielectric material. Through the TOPSIS and VIKOR ranking systems, we determined that polydimethylsiloxane (PDMS) is the most suitable dielectric material for TENG-based SPFPSs. The result presents a strong alignment across material selection methods and simulations that validates the robustness of our proposed outcomes.