A Virtual Car: Prediction of Sound and Vibration in an Interactive Simulation Environment

Genuit, Klaus; Bray, Wade

doi:10.4271/2001-01-1474

Cited by 18 publications

(7 citation statements)

References 2 publications

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“…Binaural Transfer Path Analysis (BTPA) was originally developed for assessing the binaural contributions of individual vehicle noise paths [1]. It is a powerful modeling tool enabling engineers to identify causative mechanisms for noise transfer by distinguishing between excitation source strengths and the transfer behavior of individual elements.…”

Section: Binaural Transfer Path Analysis and Synthesismentioning

confidence: 99%

Interactive Auralization of Powertrain Sounds Using Measured And Simulated Excitation

Riemann¹,

Sottek²,

Naritomi³

et al. 2007

SAE Technical Paper Series

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Interior vehicle sound is an important factor for customer satisfaction. To achieve an optimized product sound at an early stage of development, subjective evaluation methods as well as analysis and prediction tools must be combined to provide reliable information relevant to product quality and comfort judgments. Binaural Transfer Path Synthesis (BTPS) is a wellknown method to calculate interior noise and vibrations based on multi-channel input measurements. Recent enhancements of the BTPS method enable taking into account also simulated excitations, for example engine mount vibrations calculated using MBS and/or FEM simulations, allowing the prediction of interior noise even if the engine is not available in hardware. Interactive evaluation of the generated sounds in a vibro-acoustic driving simulator helps to increase understanding of customer responses and perception of target sounds. This paper describes the engineering tools and methods developed for vehicle product sound design and comfort judgments by means of a BTPS model of a Nissan vehicle.

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Section: Binaural Transfer Path Analysis and Synthesismentioning

confidence: 99%

Interactive Auralization of Powertrain Sounds Using Measured And Simulated Excitation

Riemann¹,

Sottek²,

Naritomi³

et al. 2007

SAE Technical Paper Series

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“…The scientific and industrial research focuses on several aspects, including:  the assessment of predictive models and design strategies oriented to noise and vibration (to cite some examples, the dedicated models and development processes illustrated by Panda in [11]; the virtual car for sound and vibration prediction proposed by Genuit and Bray [12])…”

Section: Introductionmentioning

confidence: 99%

Car Soundproof Improvement Through an SMA Adaptive System

Ameduri¹,

Brindisi²,

Ciminello³

et al. 2018

Preprint

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The work at hand focuses on an adaptive system aimed at improving the soundproof performance of car door seals at specific working regimes (cruise), without interfering with the conventional open-closure operations. The idea addresses the necessity of increasing the seal effectiveness, jeopardized by aerodynamic actions more and more important as the speed increase, generating a pressure difference between the internal and the external filed, in the direction of opening the door. To recover this effect, an expanding mechanism was integrated within the seal cavity, driven by an SMA actuator. The material was activated (heated) by Joule effect; its compactness, intrinsic of smart materials, contributed to arrive to a final system characterized by a high level of integrability (expanding cells). In this paper, the development process is described together with the verification activity, aimed at proving the functionality of the realized device. Starting from the industrial requirements, the most appropriate solution was identified highlighting the working principle and the main design parameters involved. Then, the envisaged system was designed and its executive digital mock up (CAD) was released. Prototyping and laboratory validation showed the reliability of the numerical models and the associated predictions. On this basis, the integration task within the actual reference car was faced. To demonstrate the isolation effect of the proposed system, an experimental campaign was finally organized in an anechoic room, achieving significant results on the concept value.

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“…Additionally, manufacturers use large noise engineering laboratories for measuring airframe and aircraft noise [43]. Urban habitation designers [42] and automobile manufacturers [14] have also used acoustic simulation for prototyping designs. However, current acoustic simulation tools are limited in their accuracy and domain capabilities.…”

Section: Introductionmentioning

confidence: 99%

Efficient wave-based acoustic material design optimization

Morales¹,

Manocha²

2016

Computer-Aided Design

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We present a novel approach for optimizing acoustic parameters using sensitivity analysis for computer-aided design and analysis of architectural models. Our approach builds on recent low-dispersion wave-based acoustic solvers that can accurately compute the pressure field in large models. We present an efficient technique to compute the gradient of the pressure field using automatic differentiation and combine that with a quasi-Newtonian optimization method to automatically compute the optimal material properties. We highlight the performance on many complex CAD models to optimize the strength and clarity acoustic parameters, and thereby improve the acoustic characteristics of large models. To the best of our knowledge, this is the first practical and accurate approach for acoustic material optimization of large indoor CAD models.

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A Virtual Car: Prediction of Sound and Vibration in an Interactive Simulation Environment

Cited by 18 publications

References 2 publications

Interactive Auralization of Powertrain Sounds Using Measured And Simulated Excitation

Interactive Auralization of Powertrain Sounds Using Measured And Simulated Excitation

Car Soundproof Improvement Through an SMA Adaptive System

Efficient wave-based acoustic material design optimization

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