Hydraulic lash adjuster dynamic behavior prediction using multibody dynamic simulation and Co-relation with testing to improve valve train design robustness

2024-28-0184

To be published on 12/05/2024

Event
11th SAEINDIA International Mobility Conference (SIIMC 2024)
Authors Abstract
Content
In recent years, world-wide automotive manufacturers have been continuously working to improve the fuel efficiency of IC engine and valve train friction contribute up to 30% of overall friction loss & Oil viscosity plays an important role in reducing overall engine friction but it adversely affects the function of Valve train in terms of dynamic behavior. Robustness and frictional loss are contradicting requirement. Robustness demands high stiffness valve train design, on the other hand low frictional power loss demands low stiffness valve train design. In-line with above objective, valve-train system is the key area of the Internal Combustion engine to reduce friction with HLA/RFF type (Type-II). The HLA plays a crucial role in the valvetrain of IC engine. Understanding the dynamic behavior due to HLA is essential for engine designer to improve engine performance and durability. This paper presents a comprehensive study for the behavior of valve train to achieving robust design. The study aims to enhance the design robustness of valve train systems by accurately predicting the behavior of Hydraulic lash adjuster under various operating conditions and Valve train behavior for valve pump up is predicted from multibody dynamic simulation. By delving into the intricate interplay between real world behavior, valuable insights can be gleaned to enhance valve train design.
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Citation
Chandiok, P., Bharti, A., and Poonia, S., "Hydraulic lash adjuster dynamic behavior prediction using multibody dynamic simulation and Co-relation with testing to improve valve train design robustness," SAE Technical Paper 2024-28-0184, 2024, .
Additional Details
Publisher
Published
To be published on Dec 5, 2024
Product Code
2024-28-0184
Content Type
Technical Paper
Language
English