Effect of Deadweight on Frame and Correlation with Human Passenger in a Two Wheeler

2023-01-5080

11/08/2023

Features
Event
Automotive Technical Papers
Authors Abstract
Content
Deadweight as payload is an important parameter, which affects the vehicle dynamics and durability of the vehicle. This paper presents a study performed to evaluate the effect of deadweight on dynamic input load, suspension operation, and fatigue life of frame in a two wheeler. Also, an optimization exercise was undertaken to correlate and optimize deadweight with a human payload in terms of equivalent damage to the frame. Strain, wheel acceleration, and suspension displacement data were acquired with pillion and multiple deadweights and compared. Relative damage spectrum (RDS) characterization and best-fit optimization methods were used for deadweight correlation. It was observed that with deadweight addition dynamic loads decreases on the front wheel while increases on the rear. Strain damage wise increasing deadweights have marginal effects on the front zone of the frame while on the middle and rear side, deadweights are detrimental. Human payload behaves like deadweight for dynamic loading as observed with higher acceleration and suspension stroke level given its magnitude, but in terms of strain damage it has very low damaging effect as compared to deadweights. Deadweight optimization exercise suggested an optimum weight to have an equivalent damage for the same durability cycle as human pillion. The study aimed to help in understanding the design load considerations taking deadweight into account as well as in the development of proving ground test cycle with deadweight as a human substitute. The latter could be applied in case of manpower planning or pandemic scenario such as COVID-19.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-01-5080
Pages
8
Citation
Kumar, R., Kumar, M., Irfan, M., and Kumar, P., "Effect of Deadweight on Frame and Correlation with Human Passenger in a Two Wheeler," SAE Technical Paper 2023-01-5080, 2023, https://doi.org/10.4271/2023-01-5080.
Additional Details
Publisher
Published
Nov 8, 2023
Product Code
2023-01-5080
Content Type
Technical Paper
Language
English