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Summary & Details

Prediction and Validation of Cab Noise in Agricultural Equipment

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Format: PDF

Price: Non-members (tax incl.)：￥6,600 Members (tax incl.)：￥5,280

Paper/Info type: SAE Paper

No.2021-01-1070

Pages: 1-5(Total 5 p)

Date of publication: Aug 2021

Publisher: SAE International

Language: English

Event: Noise and Vibration Conference & Exhibition

Detailed Information

Author(E)	1) Devendra Mandke, 2) Anand Fapal, 3) Sachin Pawar, 4) Kerry Cone
Affiliation(E)	1) John Deere India Private Ltd, 2) John Deere India Private Ltd, 3) John Deere India Private Ltd, 4) Deere & Company
Abstract(E)	To improve overall customer experience, it is imperative to minimize the noise levels inside agricultural equipment cab. Up-front prediction of acoustic performance in product development is critical to implement the noise control strategies optimally. This paper discusses the methodology used for virtual modeling of a cab on agricultural equipment for prediction of interior noise. The Statistical Energy Analysis (SEA) approach is suitable to predict high frequency interior noise and sound quality parameters such as articulation index and loudness. The cab SEA model is developed using a commercial software. The structural and acoustic excitations are measured through physical testing in various operating conditions. The interior noise levels predicted by the virtual model are compared with the operator ear noise levels measured in the test unit. The resultant SPL spectrum from SEA correlates well with the test. This model is used to optimize the noise control treatments and improve the NVH performance of the cab.

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