Shape-to-Music: A Musical Representation for Structural Topologies of Mechanical Metamaterials

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Cassara, Sofia, Sansa, Buminhan, Yildiz, Saltuk, Khan, Waris, Acar, Pinar
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866909781314240512
author Cassara, Sofia
Sansa, Buminhan
Yildiz, Saltuk
Khan, Waris
Acar, Pinar
author_facet Cassara, Sofia
Sansa, Buminhan
Yildiz, Saltuk
Khan, Waris
Acar, Pinar
contents Mechanical metamaterials are increasingly attracting interest in engineering applications due to their unique mechanical properties and lightweight nature. This study develops a novel sound-based representation to characterize the topologies of mechanical metamaterials, including spinodal designs and porous cellular structures. Two distinct frameworks are introduced: an image-based approach, where material topologies are divided into grids and their relative densities are mapped to evolving melodies, and a numerical simulation approach, where finite element analysis (FEA) visualizes mechanical responses as color-coded images, translated into unique musical compositions. By applying the Fast Fourier Transform (FFT), the generated melodies are analyzed as frequency plots, revealing distinct acoustic signatures for each material topology. This innovative approach not only distinguishes between different metamaterial designs but also provides an intuitive, auditory tool for material characterization. The results demonstrate the potential of sound-based representations to complement traditional methods in materials modeling, offering new avenues for design and analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2509_09020
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Shape-to-Music: A Musical Representation for Structural Topologies of Mechanical Metamaterials
Cassara, Sofia
Sansa, Buminhan
Yildiz, Saltuk
Khan, Waris
Acar, Pinar
Optics
Applied Physics
Mechanical metamaterials are increasingly attracting interest in engineering applications due to their unique mechanical properties and lightweight nature. This study develops a novel sound-based representation to characterize the topologies of mechanical metamaterials, including spinodal designs and porous cellular structures. Two distinct frameworks are introduced: an image-based approach, where material topologies are divided into grids and their relative densities are mapped to evolving melodies, and a numerical simulation approach, where finite element analysis (FEA) visualizes mechanical responses as color-coded images, translated into unique musical compositions. By applying the Fast Fourier Transform (FFT), the generated melodies are analyzed as frequency plots, revealing distinct acoustic signatures for each material topology. This innovative approach not only distinguishes between different metamaterial designs but also provides an intuitive, auditory tool for material characterization. The results demonstrate the potential of sound-based representations to complement traditional methods in materials modeling, offering new avenues for design and analysis.
title Shape-to-Music: A Musical Representation for Structural Topologies of Mechanical Metamaterials
topic Optics
Applied Physics
url https://arxiv.org/abs/2509.09020