Drivetrain Gear Rattle Simulation Methodology & Optimization: Simulation and Testing Correlation John Deere India Pvt., Limited

Format:

Book

Conference/Event

Author/Creator:

Kumar, Suneel, author.

Contributor:

Memane, Nilesh

Veerkar, Vikrant

Conference Name:

Noise and Vibration Conference & Exhibition (2023-05-15 : Grand Rapids, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

This paper describes a simulation methodology developed for gear rattle severity evaluation and drivetrain architecture optimization. The noise generated by gear rattle is one of the main contributors towards customer's overall NVH perception. This study adopts a model-based design approach to simulate the tendency of gear rattle in neutral and drive conditions. Gear rattle simulation model for Tractor driveline developed in 1-D environment and correlated with test data acquired on tractor drivelines for multiple field applications. This analytical physics-based model includes engine torsional signature, clutch damper torsional characteristic and dynamics of traction and PTO driveline. This dynamic simulation model helps to understand and predict the gear rattle severity of various drivetrain architecture early in the product development cycle and assess and Optimize driveline NVH performance. The simulation model predicts the mesh force variation between the gear pairs based on engine excitation and driveline system dynamic response. The standard deviation of this gear mesh force is used as a gear rattle metric to quantify the rattle tendency and correlated with NVH subjective assessment. DOE conducted to assess the impact of the various driveline parameters id est, Flywheel inertia, damper stiffness and hysteresis, gear backlash et cetera on gear rattle metric. This virtual methodology was deployed for multiple drivetrain architecture evaluation and based on the analysis optimal drivetrain architecture adopted for better customer NVH perception. This methodology helped in developing new predictive simulation workflows to resolve design issues analytically and effectively within a relatively shorter time with significant reduction of product development time and cost

Notes:

Vendor supplied data

Publisher Number:

2023-01-1136

Access Restriction:

Restricted for use by site license