Title: Acoustic roughness analysis of a diesel engine noise

Authors: Jie Mao; L. Zhu; Xu Wang; H. Peng

Addresses: Geely Automobile Research Institute Co. Ltd, 315336, Ningbo, China ' Geely Automobile Research Institute Co. Ltd, 315336, Ningbo, China ' RMIT University, Bundoora, Victoria 3083, Australia ' Geely Automobile Research Institute Co. Ltd, 315336, Ningbo, China

Abstract: A modified Aures roughness algorithm (MARA) is proposed, which considers sound transfer functions of the concha, middle ear, and inner ear to improve the algorithm integrity and human auditory perception. A MARA-based method is implemented to simulate, optimise, and evaluate the acoustic roughness of a diesel engine noise. The finite-element engine components are validated by modal frequency test. Then, the normal vibration velocities and structural radiated noise of the block surface are obtained by flexible multi-body dynamic theory and boundary element method. The sound power levels and roughness of the radiated noise are calculated. Finally, the structure-borne noise is optimised to reduce roughness, which has validated the modified Aures roughness algorithm.

Keywords: internal combustion engine; sound quality; modified Aures roughness algorithm; MARA; roughness; simulation; optimisation.

DOI: 10.1504/IJVNV.2017.089527

International Journal of Vehicle Noise and Vibration, 2017 Vol.13 No.3/4, pp.282 - 294

Available online: 19 Jan 2018 *

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