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One Dimensional (1-D) Simulation Model for Ride and Comfort Evaluation of a Two Axle Truck Tata Motors Limited

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Soni, Yash, author.
Contributor:
Bagal, Vikram
Chaskar, Mithun
Ghanwat, Hemant
Mullapudi, Dattatreyudu
Conference Name:
Symposium on International Automotive Technology (2024-01-23 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2024
Summary:
In automotive industry, testing and validation teams are highly dependent on availability of prototype vehicles for testing and evaluation of ride and comfort behavior of vehicles. Special test tracks surfaces are also used (namely Tar road, Express way and driving over a Cleat) to evaluate the ride and comfort through subjective evaluation. Ride is largely affected by transmissibility of road excitations to the driver and other occupant's seats, influence of suspension, bushes and tire are the major contributors in the transfer path of vibrations. A configurable 1D simulation model of a Two Axle Truck is developed for quick evaluation of the ride and comfort behavior which is need of the hour for the testing team in optimizing the number of iterations in physical testing. These simulations will help in understanding the ride and comfort behavior and its sensitivity to changes in the component's characteristics in absence of physical test vehicles. The developed model is then correlated with the physical measurements at identified locations over the vehicle and a correlation of acceleration in Z direction of about 8590% is achieved with respect to the measured accelerations. More than 90% of correlation is achieved in permissible allowable value of ride index calculated from the simulations w.r.t to the ride index determined from the physical tests. The model developed is a configurable two axle truck model which can be deployed horizontally for any other configuration with minor tweaking which in turn can save resources with increase in productivity
Notes:
Vendor supplied data
Publisher Number:
2024-26-0299
Access Restriction:
Restricted for use by site license

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