@techreport {pub-5637,
	title = {Coupled Multidisciplinary Topology Optimization Methodology and Platform: Noise minimization in vehicle cabin using 3D level set topology optimization considering acoustic-structure interaction},
	author = {Andreas Neofytou AND Thiago de Jesus de Araujo Rios AND Mariusz Bujny AND Stefan Menzel AND Hyunsun Alicia Kim},
	year = {2024},
	month = {March},
	abstract = {This report summarizes the third year research of the project Coupled Multidisciplinary Topology Optimization
Methodology and Platform. The modularized level set topology optimization (LSTO) methodology developed in the previous years was applied here to solve a vibroacoustic optimization problem in a benchmarking 3D vehicle cabin considering acoustic-structure interaction. Our objective was to minimize the noise generated at different points in the cabin due to vibrations of the body. This was achieved by redesigning parts of the chassis. To achieve this, we developed several tools including a methodology that can recreate and optimize complex geometries obtained from the literature and commercial software. Moreover, we developed the parallel computation capability to optimize such large scale systems. Besides the automotive domain, the methodology presented here is applicable to any geometry and a range of industrial applications including vertical take-off and landing (VTOL) vehicles and aircrafts.},
	publisher = {HRI-EU},
	booktitle = {HRI-EU}
}