Spatial Optimisation of Inner Dash Acoustic Performance Using Reciprocal Holography Adler Pelzer Group

Format:

Book

Conference/Event

Author/Creator:

Harry, Evan, author.

Eandi, Giacomo, author.

Conference Name:

14th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference (2026-06-17 : Graz, Austria)

Language:

English

Subjects (All):

Test procedures.

Passenger compartments.

Acoustics.

Engines.

Transmissions.

Calibration.

Measurements.

Optimization.

Packaging.

Local Subjects:

Test procedures.

Passenger compartments.

Acoustics.

Engines.

Transmissions.

Calibration.

Measurements.

Optimization.

Packaging.

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2026

Summary:

As acoustic requirements for NVH trim components become increasingly constrained by mass, cost, and sustainability targets, traditional approaches to inner dash design based on spatially averaged Transmission Loss (TL) metrics are reaching their practical limits. In fully built vehicles, the acoustic performance of the inner dash is governed by its global insulation capability but also by strong spatial heterogeneity and its interaction with spatially distributed noise sources such as the power unit, gearbox, and tyre-road excitation.This paper presents a test-based methodology for the spatial optimisation of inner dash acoustic performance using reciprocal holography. By applying a calibrated sound power source within the vehicle cabin and measuring the reciprocal response in the engine bay and wheel-arch regions, a high-resolution spatial Transmission Loss "hologram" of the inner dash is obtained under in-situ conditions. The resulting spatial data enables the identification of localised acoustic weak points that are not observable using conventional testing methods.To bridge the gap between passive component characterisation and real-world vehicle operation, the spatial TL hologram is subsequently evaluated using representative operational source sound power data to prioritise acoustically relevant regions. This enables the transmitted acoustic energy to be evaluated under realistic driving conditions. The holographic data is then coupled with a parametric acoustic model of the inner dash system, allowing localised mass redistribution to be optimised using a genetic algorithm while respecting packaging and manufacturing constraints

Notes:

Vendor supplied data

Access Restriction:

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