Prediction and Validation of Cab Noise in Agricultural Equipment John Deere India Private Limited

Format:

Book

Conference/Event

Author/Creator:

Mandke, Devendra, author.

Contributor:

Cone, Kerry

Fapal, Anand

Pawar, Sachin

Conference Name:

Noise and Vibration Conference & Exhibition (2021-09-07 : Grand Rapids & Online, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

It is imperative to minimize noise levels inside the cab of an agricultural equipment to improve overall customer experience. Up front prediction of acoustic performance early in the product development is critical to optimally implement the noise control strategies. This paper discusses the methodology used for virtual modeling of a cab on agriculture equipment for prediction of interior noise. 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 virtual model are compared with the operator ear noise levels measured in the test. The results from prediction correlates well with the test. This model can be used further to optimize the noise control treatments and improve the noise levels in the cab

Notes:

Vendor supplied data

Publisher Number:

2021-01-1070

Access Restriction:

Restricted for use by site license