Textile-Material Model for Vibroacoustic Simulation
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Solution Overview
Problem
Existing audio simulation software struggles to capture nonlinear behavior of textiles, such as acoustic distortion in electronic-speaker devices due to their nonlinear and anisotropic force-elongation behavior, which is costly to model accurately, especially when simulating textile structures down to yarn filaments.
Innovation Solution
A textile-material model based on elongation stiffness obtained from time-temperature superposition curves from dynamic mechanical analysis is applied to an assembly model of an electronic-speaker device to simulate vibroacoustic responses, predicting the likelihood of 'rub and buzz' by applying boundary conditions and force inputs, enabling the identification of frequencies causing textile displacement and potential contact with device components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a linear solver is used in audio simulation software, then computational efficiency is improved, but the ability to capture nonlinear behavior (including acoustic distortion) is worsened
Solution Approach 1:
The textile structure is segmented into representative volume elements (RVEs) that capture the essential nonlinear behavior at a simplified scale. This segmentation allows the use of linear solvers at the macro level while incorporating nonlinear material properties through homogenized constitutive models derived from microstructural analysis, thus resolving the contradiction between computational efficiency and nonlinear behavior capture.
Solution Approach 2:
The material parameters of the textile are changed from detailed microstructural properties to homogenized effective properties that represent the nonlinear behavior. By using equivalent linearized parameters that capture the essence of nonlinear response, the simulation can use efficient linear solvers while still predicting acoustic distortion accurately.
2Manufacturing precision
If a detailed model of textile structure down to yarn filaments is used, then modeling precision is improved, but computational cost is worsened
Solution Approach 1:
The detailed yarn filament structure is extracted and analyzed separately to determine effective material properties. This extracted microstructural information is then used to create simplified continuum models that capture the essential mechanical behavior without requiring the computational resources to model every individual filament, thus reducing computational cost while maintaining modeling precision.
Solution Approach 2:
Instead of modeling from the detailed filament level up to the textile level (which is computationally expensive), the approach is inverted: effective properties are determined from detailed analysis, then used in simplified macro-scale models. This inversion allows high precision material characterization without the computational burden of full-scale detailed modeling.
3Measurement precision
If physical testing with varying adhesive patterns, grille patterns, and textile strain levels is performed, then measurement precision is improved, but time consumption and material cost are worsened
Solution Approach 1:
The simulation model is calibrated and validated using a limited set of physical tests performed in advance. Once calibrated, the model can predict acoustic performance for various adhesive patterns, grille patterns, and textile strain levels without requiring additional physical testing. This preliminary action of calibration followed by virtual experimentation significantly reduces time consumption and material cost while maintaining measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies the representation of textiles in vibroacoustic structural simulations, allowing for the prediction of acoustic performance and reducing the likelihood of 'rub and buzz' in electronic-speaker devices, thereby saving time and resources in product development.
Implementation Method 1
The textile is modeled using a material model (referred to herein as a 'textile-material model') based on an elongation stiffness obtained from a time-temperature superposition curve of the textile, which is based on a dynamic mechanical analysis test of the textile in both course and wale directions.
Implementation Method 2
simulating a vibroacoustic response of the textile swatch using the assembly model. The simulating includes applying (i) boundary conditions representing strain on the textile swatch and (ii) force inputs representing audio output by the one or more audio components
Data Source
AI summary
The present document describes techniques associated with a textile-material model for vibroacoustic structural simulation. The techniques described herein provide a nontrivial methodology to test a textile and simplify its representation, which can enable prediction of acoustic performance (e.g., rub and buzz) of an electronic-speaker device having a textile mounted thereon. The textile is modeled as a textile-material model based on an elongation stiffness obtained from a time-temperature superposition curve of the textile, which is based on a dynamic mechanical analysis test of the textile in each of course and wale directions. The textile-material model is then applied to an assembly model of the electronic-speaker device to simulate a vibroacoustic response of the textile relative to the assembly model to predict a likelihood of rub and buzz.