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Acoustic source detection for climate systems via computational fluid dynamics for improved cabin comfort

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In order to address the increased relevance of vehicle cabin acoustics as a constituent of the overall passenger’s comfort in automobiles, precise and predictive methodologies approaches are required to identify and reduce the relevant noise sources. In the present case this problem is addressed to the HVAC (Heating, Ventilation, Air Conditioning) systems, including blowers, mixing unit, ducts or registers

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Correspondence to Jan Biermann .

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Biermann, J., Neuhierl, B., Mann, A., Kim, MS. (2019). Acoustic source detection for climate systems via computational fluid dynamics for improved cabin comfort. In: Siebenpfeiffer, W. (eds) Automotive Acoustics Conference 2015. Proceedings. Springer Vieweg, Wiesbaden.

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