3D Printing and Physical Modeling of Musical Instruments: Casting the Net

Abstract : Predicting the acoustics of objects from computational models is of interest to instrument designers who increasingly use Computer Assisted Design. We examine techniques to carry out these estimates using a database of impulse responses from 3D printed models and a custom algorithm for mode interpolation within a geometrical matrix. Test geometries are organized as a function of their physical characteristics and placed into a multidimensional space/matrix whose boundaries are defined by the objects at each corner. Finite Element Analyses is integrated into the open-source CAD environment to provide estimates of material vibrations also compared to measurements on the fabricated counterparts. Finally, predicted parameters inform physical models for aural comparisons between fabricated targets and computational estimates. These hybrid methods are reliable for predicting early modes as they covary with changes in scale and shape in our test matrix.
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Submitted on : Tuesday, June 18, 2019 - 2:31:00 PM
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  • HAL Id : hal-02159009, version 1


Romain Michon, Chris Chafe, John Granzow. 3D Printing and Physical Modeling of Musical Instruments: Casting the Net. Sound and Music Computing Conference, 2018, Limassol, Cyprus. ⟨hal-02159009⟩



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