In this study, we present a multi-physics-based topology optimization problem to optimize the inside layout of a muffler for thermal energy harvesting and noise attenuation. Acoustic and thermal analyses are carried out by using the finite element method for non-isothermal acoustic wave and flow. The magnitude of the acoustic pressure at the outlet is minimized, the temperature at the thermal energy spot is maximized, and the pressure drop of a muffler is constrained to create a flow path. A design variable is assigned to each finite element in a design domain, and it varies continuously between 0 and 1. The material properties of each finite element in a design domain are determined by the interpolation function, which is parameterized by the design variable. When one design variable converges to 1, the associated finite element is filled with steel. The finite elements filled with steel build up partitions, which are also thermal conductors, for noise reduction. In contrast, finite elements are filled with air for the design variables of 0. The interpolation functions for acoustic, thermal, and fluidic materials are carefully selected. The formulated topology optimization problem is solved using a gradient-based optimizer for a given design condition.
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No.2016R1D1A1B03932357) and by the Natioal Rnesearch Foundation of Korea (NRF) Grant [No: 2014M3A6B3063711 (Global Frontier R&D Program on Center for Wave Energy Controlbased on Metamaterials)] funded by the Korean Ministry of Science, ICT and (MSIP) contracted through IAMD at Seoul Natioal Unniversity