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.
International Journal of Vehicle Noise and Vibration, 2017 Vol.13 No.3/4, pp.282 - 294
Available online: 19 Jan 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article